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You searched for subject:(Adaptive fuzzy logic control). Showing records 1 – 30 of 60431 total matches.

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Rochester Institute of Technology

1. Naghshineh, Nastaran. Control of Thermal Power System Using Adaptive Fuzzy Logic Control.

Degree: MS, Electrical Engineering, 2017, Rochester Institute of Technology

  Controlling thermal power systems increases the overall system efficiency and satisfies the desired requirements. In such a large system, fuel reduction of even a… (more)

Subjects/Keywords: Adaptive fuzzy logic control; Control; Fuzzy logic; Multi-area power system; PID; Thermal power system

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APA (6th Edition):

Naghshineh, N. (2017). Control of Thermal Power System Using Adaptive Fuzzy Logic Control. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9615

Chicago Manual of Style (16th Edition):

Naghshineh, Nastaran. “Control of Thermal Power System Using Adaptive Fuzzy Logic Control.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed January 20, 2021. https://scholarworks.rit.edu/theses/9615.

MLA Handbook (7th Edition):

Naghshineh, Nastaran. “Control of Thermal Power System Using Adaptive Fuzzy Logic Control.” 2017. Web. 20 Jan 2021.

Vancouver:

Naghshineh N. Control of Thermal Power System Using Adaptive Fuzzy Logic Control. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2021 Jan 20]. Available from: https://scholarworks.rit.edu/theses/9615.

Council of Science Editors:

Naghshineh N. Control of Thermal Power System Using Adaptive Fuzzy Logic Control. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9615


University of Cincinnati

2. Stockton, Nicklas O. Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems.

Degree: MS, Engineering and Applied Science: Aerospace Engineering, 2018, University of Cincinnati

 Aerospace applications are composed of many dynamic systems which are coupled, nonlinear, and difficult to control. Fuzzy logic (FL) systems provides a means by which… (more)

Subjects/Keywords: Engineering; genetic algorithm; fuzzy logic; dynamic system; nonlinear control; adaptive control

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APA (6th Edition):

Stockton, N. O. (2018). Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1523635312922039

Chicago Manual of Style (16th Edition):

Stockton, Nicklas O. “Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems.” 2018. Masters Thesis, University of Cincinnati. Accessed January 20, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1523635312922039.

MLA Handbook (7th Edition):

Stockton, Nicklas O. “Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems.” 2018. Web. 20 Jan 2021.

Vancouver:

Stockton NO. Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems. [Internet] [Masters thesis]. University of Cincinnati; 2018. [cited 2021 Jan 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1523635312922039.

Council of Science Editors:

Stockton NO. Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems. [Masters Thesis]. University of Cincinnati; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1523635312922039


Virginia Tech

3. Lloyd, John William. Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach.

Degree: PhD, Mechanical Engineering, 2011, Virginia Tech

 A method to adapt the Generalized Predictive Control parameters to improve broadband disturbance rejection was developed and tested. The effect of the parameters on disturbance… (more)

Subjects/Keywords: GPC; generalized predictive control; active control; adaptive control; fuzzy logic; fuzzy logic adaptation; vibration control; disturbance rejection

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APA (6th Edition):

Lloyd, J. W. (2011). Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29306

Chicago Manual of Style (16th Edition):

Lloyd, John William. “Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach.” 2011. Doctoral Dissertation, Virginia Tech. Accessed January 20, 2021. http://hdl.handle.net/10919/29306.

MLA Handbook (7th Edition):

Lloyd, John William. “Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach.” 2011. Web. 20 Jan 2021.

Vancouver:

Lloyd JW. Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10919/29306.

Council of Science Editors:

Lloyd JW. Generalized Predictive Control Parameter Adaptation Using a Fuzzy Logic Approach. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/29306


Ryerson University

4. Huang, Liang. Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor For Optimal Control Of Space Heating Systems.

Degree: 2012, Ryerson University

 The previous research on adaptive neuro-fuzzy inferential sensor (ANFIS) presented an approach to estimate the average indoor temperature and proposed a new method to measure… (more)

Subjects/Keywords: Fuzzy logic; Adaptive control systems; Control theory; Detectors  – Design and construction; Detectors  – Mathematical models

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APA (6th Edition):

Huang, L. (2012). Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor For Optimal Control Of Space Heating Systems. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1454

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Liang. “Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor For Optimal Control Of Space Heating Systems.” 2012. Thesis, Ryerson University. Accessed January 20, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A1454.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Liang. “Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor For Optimal Control Of Space Heating Systems.” 2012. Web. 20 Jan 2021.

Vancouver:

Huang L. Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor For Optimal Control Of Space Heating Systems. [Internet] [Thesis]. Ryerson University; 2012. [cited 2021 Jan 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1454.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang L. Physical-Rule Based Adaptive Neuro-Fuzzy Inferential Sensor For Optimal Control Of Space Heating Systems. [Thesis]. Ryerson University; 2012. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1454

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Addis Ababa University

5. Daniel, Abebe. Design and Implementation of Feedback Linearization based Adaptive Stabilizing Controller Coupled with Fuzzy Logic Swing-up for Pendulum on a Cart .

Degree: 2019, Addis Ababa University

 This thesis address an adaptive stabilizing controller for inverted pendulum on a cart based on feedback linearization coupled with an adaptive fuzzy logic based swing… (more)

Subjects/Keywords: Feedback Linearization; Fuzzy Logic; Adaptive Inverse Control; Inverted Pendulum on a Cart; Swing up

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APA (6th Edition):

Daniel, A. (2019). Design and Implementation of Feedback Linearization based Adaptive Stabilizing Controller Coupled with Fuzzy Logic Swing-up for Pendulum on a Cart . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/handle/123456789/20966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Daniel, Abebe. “Design and Implementation of Feedback Linearization based Adaptive Stabilizing Controller Coupled with Fuzzy Logic Swing-up for Pendulum on a Cart .” 2019. Thesis, Addis Ababa University. Accessed January 20, 2021. http://etd.aau.edu.et/handle/123456789/20966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Daniel, Abebe. “Design and Implementation of Feedback Linearization based Adaptive Stabilizing Controller Coupled with Fuzzy Logic Swing-up for Pendulum on a Cart .” 2019. Web. 20 Jan 2021.

Vancouver:

Daniel A. Design and Implementation of Feedback Linearization based Adaptive Stabilizing Controller Coupled with Fuzzy Logic Swing-up for Pendulum on a Cart . [Internet] [Thesis]. Addis Ababa University; 2019. [cited 2021 Jan 20]. Available from: http://etd.aau.edu.et/handle/123456789/20966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daniel A. Design and Implementation of Feedback Linearization based Adaptive Stabilizing Controller Coupled with Fuzzy Logic Swing-up for Pendulum on a Cart . [Thesis]. Addis Ababa University; 2019. Available from: http://etd.aau.edu.et/handle/123456789/20966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Central Queensland University

6. Zajaczkowski, Juliusz M. Analysis of the hierarchical fuzzy control using evolutionary algorithms.

Degree: 2010, Central Queensland University

"The research presented in this thesis examines the construction of a fuzzy logic controller for complex nonlinear system by control system decomposition into hierarchial fuzzy logic subsystems ... evolutionary algorithm (EA) based methods are proposed to determine the control system for the hieracrchical fuzzy system (HFS)" – Abstract.

Subjects/Keywords: Fuzzy logic.; Logic devices; Control theory.; Fuzzy systems.; TBA.; TBA.; TBA.

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APA (6th Edition):

Zajaczkowski, J. M. (2010). Analysis of the hierarchical fuzzy control using evolutionary algorithms. (Thesis). Central Queensland University. Retrieved from http://hdl.cqu.edu.au/10018/61271

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zajaczkowski, Juliusz M. “Analysis of the hierarchical fuzzy control using evolutionary algorithms.” 2010. Thesis, Central Queensland University. Accessed January 20, 2021. http://hdl.cqu.edu.au/10018/61271.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zajaczkowski, Juliusz M. “Analysis of the hierarchical fuzzy control using evolutionary algorithms.” 2010. Web. 20 Jan 2021.

Vancouver:

Zajaczkowski JM. Analysis of the hierarchical fuzzy control using evolutionary algorithms. [Internet] [Thesis]. Central Queensland University; 2010. [cited 2021 Jan 20]. Available from: http://hdl.cqu.edu.au/10018/61271.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zajaczkowski JM. Analysis of the hierarchical fuzzy control using evolutionary algorithms. [Thesis]. Central Queensland University; 2010. Available from: http://hdl.cqu.edu.au/10018/61271

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Arsava, Kemal Sarp. Modeling, Control and Monitoring of Smart Structures under High Impact Loads.

Degree: PhD, 2014, Worcester Polytechnic Institute

 In recent years, response analysis of complex structures under impact loads has attracted a great deal of attention. For example, a collision or an accident… (more)

Subjects/Keywords: high impact load; magnetorheological (MR) damper; discrete wavelet transform; fuzzy logic control; structural health monitoring; nonlinear system identification; adaptive neuro-fuzzy inference system (ANFIS)

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APA (6th Edition):

Arsava, K. S. (2014). Modeling, Control and Monitoring of Smart Structures under High Impact Loads. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-041214-153536 ; https://digitalcommons.wpi.edu/etd-dissertations/105

Chicago Manual of Style (16th Edition):

Arsava, Kemal Sarp. “Modeling, Control and Monitoring of Smart Structures under High Impact Loads.” 2014. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed January 20, 2021. etd-041214-153536 ; https://digitalcommons.wpi.edu/etd-dissertations/105.

MLA Handbook (7th Edition):

Arsava, Kemal Sarp. “Modeling, Control and Monitoring of Smart Structures under High Impact Loads.” 2014. Web. 20 Jan 2021.

Vancouver:

Arsava KS. Modeling, Control and Monitoring of Smart Structures under High Impact Loads. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2014. [cited 2021 Jan 20]. Available from: etd-041214-153536 ; https://digitalcommons.wpi.edu/etd-dissertations/105.

Council of Science Editors:

Arsava KS. Modeling, Control and Monitoring of Smart Structures under High Impact Loads. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2014. Available from: etd-041214-153536 ; https://digitalcommons.wpi.edu/etd-dissertations/105

8. Mohammadzadeh, Soroush. System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers.

Degree: MS, 2013, Worcester Polytechnic Institute

 "Maintaining an efficient and reliable infrastructure requires continuous monitoring and control. In order to accomplish these tasks, algorithms are needed to process large sets of… (more)

Subjects/Keywords: Magnetorheological Damper; Neural network; Adaptive Neuro-Fuzzy Inference System; Earthquake; System Identification; Dissipativity; Linear Quadratic Regulator; Structural Control; Smart Structures; Fuzzy Logic; Principal Component Analysis

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APA (6th Edition):

Mohammadzadeh, S. (2013). System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-053013-222736 ; https://digitalcommons.wpi.edu/etd-theses/868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mohammadzadeh, Soroush. “System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers.” 2013. Thesis, Worcester Polytechnic Institute. Accessed January 20, 2021. etd-053013-222736 ; https://digitalcommons.wpi.edu/etd-theses/868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mohammadzadeh, Soroush. “System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers.” 2013. Web. 20 Jan 2021.

Vancouver:

Mohammadzadeh S. System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers. [Internet] [Thesis]. Worcester Polytechnic Institute; 2013. [cited 2021 Jan 20]. Available from: etd-053013-222736 ; https://digitalcommons.wpi.edu/etd-theses/868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohammadzadeh S. System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers. [Thesis]. Worcester Polytechnic Institute; 2013. Available from: etd-053013-222736 ; https://digitalcommons.wpi.edu/etd-theses/868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas Tech University

9. Workman, Mark E. Hardware requirements for fuzzy logic control systems.

Degree: Computer Science, 1996, Texas Tech University

 The FUzzy Design GEnerator (FUDGE) is an inexpensive, but surprisingly powerful, fuzzy logic design tool. It can be used to develop, test and implement fuzzy(more)

Subjects/Keywords: Adaptive control systems; Computation intelligence; Fuzzy logic; Neural networks; FUDGE (Fuzzy Design Generator)

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APA (6th Edition):

Workman, M. E. (1996). Hardware requirements for fuzzy logic control systems. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/19473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Workman, Mark E. “Hardware requirements for fuzzy logic control systems.” 1996. Thesis, Texas Tech University. Accessed January 20, 2021. http://hdl.handle.net/2346/19473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Workman, Mark E. “Hardware requirements for fuzzy logic control systems.” 1996. Web. 20 Jan 2021.

Vancouver:

Workman ME. Hardware requirements for fuzzy logic control systems. [Internet] [Thesis]. Texas Tech University; 1996. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2346/19473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Workman ME. Hardware requirements for fuzzy logic control systems. [Thesis]. Texas Tech University; 1996. Available from: http://hdl.handle.net/2346/19473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Johannesburg

10. Schepers, Gideon Gustaf. The development of a multi-input-single-output fuzzy logic greenhouse controller.

Degree: 2012, University of Johannesburg

M.Ing.

Fuzzy controllers are increasingly being accepted by engineers and scientists alike as a viable alternative for classical controllers. The processes involved in fuzzy controllers… (more)

Subjects/Keywords: Feedback control systems; Control systems; Fuzzy systems; Fuzzy logic

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APA (6th Edition):

Schepers, G. G. (2012). The development of a multi-input-single-output fuzzy logic greenhouse controller. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/7272

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schepers, Gideon Gustaf. “The development of a multi-input-single-output fuzzy logic greenhouse controller.” 2012. Thesis, University of Johannesburg. Accessed January 20, 2021. http://hdl.handle.net/10210/7272.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schepers, Gideon Gustaf. “The development of a multi-input-single-output fuzzy logic greenhouse controller.” 2012. Web. 20 Jan 2021.

Vancouver:

Schepers GG. The development of a multi-input-single-output fuzzy logic greenhouse controller. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10210/7272.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schepers GG. The development of a multi-input-single-output fuzzy logic greenhouse controller. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/7272

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

11. Sunberg, Zachary Nolan. A Real Time Expert Control System for Helicopter Autorotation.

Degree: MS, Aerospace Engineering, 2013, Texas A&M University

 Autorotation maneuvers are required to perform a safe landing of a helicopter in cases of engine loss in a single engine vehicle and transmission or… (more)

Subjects/Keywords: Autorotation; Expert System; Fuzzy Logic; Control; Helicopter

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APA (6th Edition):

Sunberg, Z. N. (2013). A Real Time Expert Control System for Helicopter Autorotation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149553

Chicago Manual of Style (16th Edition):

Sunberg, Zachary Nolan. “A Real Time Expert Control System for Helicopter Autorotation.” 2013. Masters Thesis, Texas A&M University. Accessed January 20, 2021. http://hdl.handle.net/1969.1/149553.

MLA Handbook (7th Edition):

Sunberg, Zachary Nolan. “A Real Time Expert Control System for Helicopter Autorotation.” 2013. Web. 20 Jan 2021.

Vancouver:

Sunberg ZN. A Real Time Expert Control System for Helicopter Autorotation. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1969.1/149553.

Council of Science Editors:

Sunberg ZN. A Real Time Expert Control System for Helicopter Autorotation. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149553


KTH

12. Lundin, Gustav Öman. Enhancements of an auto-thrustfunction using fuzzy logic.

Degree: Optimization and Systems Theory, 2014, KTH

  This master's thesis aims to investigate how fuzzy logic can be used to adapt the tuning of a speed control law during certain conditions… (more)

Subjects/Keywords: Fuzzy logic; aircraft speed control; turbulence

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APA (6th Edition):

Lundin, G. . (2014). Enhancements of an auto-thrustfunction using fuzzy logic. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lundin, Gustav Öman. “Enhancements of an auto-thrustfunction using fuzzy logic.” 2014. Thesis, KTH. Accessed January 20, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lundin, Gustav Öman. “Enhancements of an auto-thrustfunction using fuzzy logic.” 2014. Web. 20 Jan 2021.

Vancouver:

Lundin G. Enhancements of an auto-thrustfunction using fuzzy logic. [Internet] [Thesis]. KTH; 2014. [cited 2021 Jan 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lundin G. Enhancements of an auto-thrustfunction using fuzzy logic. [Thesis]. KTH; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

13. Al-mutairi, Naif Bejad. Adaptive Fuzzy Modulation for Networked PI Control Systems.

Degree: PhD, Electrical Engineering, 2002, North Carolina State University

 Networks and their applications have been evolving substantially in the last two decades. Network-based control systems, also called Networked Control Systems (NCS), are one of… (more)

Subjects/Keywords: fuzzy logic; networked control systems; PI control; adaptive systems; network-based control

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APA (6th Edition):

Al-mutairi, N. B. (2002). Adaptive Fuzzy Modulation for Networked PI Control Systems. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5831

Chicago Manual of Style (16th Edition):

Al-mutairi, Naif Bejad. “Adaptive Fuzzy Modulation for Networked PI Control Systems.” 2002. Doctoral Dissertation, North Carolina State University. Accessed January 20, 2021. http://www.lib.ncsu.edu/resolver/1840.16/5831.

MLA Handbook (7th Edition):

Al-mutairi, Naif Bejad. “Adaptive Fuzzy Modulation for Networked PI Control Systems.” 2002. Web. 20 Jan 2021.

Vancouver:

Al-mutairi NB. Adaptive Fuzzy Modulation for Networked PI Control Systems. [Internet] [Doctoral dissertation]. North Carolina State University; 2002. [cited 2021 Jan 20]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5831.

Council of Science Editors:

Al-mutairi NB. Adaptive Fuzzy Modulation for Networked PI Control Systems. [Doctoral Dissertation]. North Carolina State University; 2002. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5831


Delft University of Technology

14. Bindiganavile Nagesh, S. (author). Adaptive fuzzy observer and robust controller for a 2-DOF robot arm.

Degree: 2011, Delft University of Technology

Adaptive fuzzy observers have been introduced in the recent past, which are capable of estimating uncertainties along with the states of a nonlinear system represented… (more)

Subjects/Keywords: adaptive fuzzy observer; robust fuzzy control; LMI; sector nonlinearity; nonlinear control

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APA (6th Edition):

Bindiganavile Nagesh, S. (. (2011). Adaptive fuzzy observer and robust controller for a 2-DOF robot arm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1aba8c30-3269-4cc3-b913-e3d4eb15912f

Chicago Manual of Style (16th Edition):

Bindiganavile Nagesh, S (author). “Adaptive fuzzy observer and robust controller for a 2-DOF robot arm.” 2011. Masters Thesis, Delft University of Technology. Accessed January 20, 2021. http://resolver.tudelft.nl/uuid:1aba8c30-3269-4cc3-b913-e3d4eb15912f.

MLA Handbook (7th Edition):

Bindiganavile Nagesh, S (author). “Adaptive fuzzy observer and robust controller for a 2-DOF robot arm.” 2011. Web. 20 Jan 2021.

Vancouver:

Bindiganavile Nagesh S(. Adaptive fuzzy observer and robust controller for a 2-DOF robot arm. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2021 Jan 20]. Available from: http://resolver.tudelft.nl/uuid:1aba8c30-3269-4cc3-b913-e3d4eb15912f.

Council of Science Editors:

Bindiganavile Nagesh S(. Adaptive fuzzy observer and robust controller for a 2-DOF robot arm. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:1aba8c30-3269-4cc3-b913-e3d4eb15912f


Texas Tech University

15. Kreesuradej, Worapoj. Adaptive fuzzy nonlinear internal model control strategy.

Degree: Electrical and Computer Engineering, 1996, Texas Tech University

 Proportional-Integratal Derivative like Fuzzy Logic Controllers (PID-FLCs), have been used for a variety of nonlinear control problems. Basically, a PID-FLC contains a control algorithm in… (more)

Subjects/Keywords: Computational intelligence; Adaptive control systems; Nonlinear control theory; Fuzzy logic  – Industrial applications

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kreesuradej, W. (1996). Adaptive fuzzy nonlinear internal model control strategy. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/18396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kreesuradej, Worapoj. “Adaptive fuzzy nonlinear internal model control strategy.” 1996. Thesis, Texas Tech University. Accessed January 20, 2021. http://hdl.handle.net/2346/18396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kreesuradej, Worapoj. “Adaptive fuzzy nonlinear internal model control strategy.” 1996. Web. 20 Jan 2021.

Vancouver:

Kreesuradej W. Adaptive fuzzy nonlinear internal model control strategy. [Internet] [Thesis]. Texas Tech University; 1996. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2346/18396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kreesuradej W. Adaptive fuzzy nonlinear internal model control strategy. [Thesis]. Texas Tech University; 1996. Available from: http://hdl.handle.net/2346/18396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Johannesburg

16. Mors, Winfried. 'n Wasige beheerder vir 'n elektriese hooflynlokomotief.

Degree: 2012, University of Johannesburg

M.Ing.

The principal reasons for the development of a prototype improved control system are the high maintenance costs and unreliability of Spoomet's fleet of class… (more)

Subjects/Keywords: Fuzzy systems; Fuzzy logic; Automatic control; Electric locomotives

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APA (6th Edition):

Mors, W. (2012). 'n Wasige beheerder vir 'n elektriese hooflynlokomotief. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/5927

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mors, Winfried. “'n Wasige beheerder vir 'n elektriese hooflynlokomotief.” 2012. Thesis, University of Johannesburg. Accessed January 20, 2021. http://hdl.handle.net/10210/5927.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mors, Winfried. “'n Wasige beheerder vir 'n elektriese hooflynlokomotief.” 2012. Web. 20 Jan 2021.

Vancouver:

Mors W. 'n Wasige beheerder vir 'n elektriese hooflynlokomotief. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10210/5927.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mors W. 'n Wasige beheerder vir 'n elektriese hooflynlokomotief. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/5927

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

17. Martins, Filipe Miguel Guerreiro. eVentos 2 - Autonomous sailboat control.

Degree: 2013, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Sailboat navigation started as a way to explore the world. Even though… (more)

Subjects/Keywords: Autonomous sailboat; Fuzzy logic control; Fuzzy set; Rule base; Sailing; Arduino

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martins, F. M. G. (2013). eVentos 2 - Autonomous sailboat control. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Martins, Filipe Miguel Guerreiro. “eVentos 2 - Autonomous sailboat control.” 2013. Thesis, Universidade Nova. Accessed January 20, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Martins, Filipe Miguel Guerreiro. “eVentos 2 - Autonomous sailboat control.” 2013. Web. 20 Jan 2021.

Vancouver:

Martins FMG. eVentos 2 - Autonomous sailboat control. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2021 Jan 20]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martins FMG. eVentos 2 - Autonomous sailboat control. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

18. Jager, R. Fuzzy Logic in Control.

Degree: 1995, Delft University of Technology

Subjects/Keywords: fuzzy logic; fuzzy control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jager, R. (1995). Fuzzy Logic in Control. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94

Chicago Manual of Style (16th Edition):

Jager, R. “Fuzzy Logic in Control.” 1995. Doctoral Dissertation, Delft University of Technology. Accessed January 20, 2021. http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94.

MLA Handbook (7th Edition):

Jager, R. “Fuzzy Logic in Control.” 1995. Web. 20 Jan 2021.

Vancouver:

Jager R. Fuzzy Logic in Control. [Internet] [Doctoral dissertation]. Delft University of Technology; 1995. [cited 2021 Jan 20]. Available from: http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94.

Council of Science Editors:

Jager R. Fuzzy Logic in Control. [Doctoral Dissertation]. Delft University of Technology; 1995. Available from: http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; urn:NBN:nl:ui:24-uuid:418ca337-3518-4a0c-ba87-6117d114cf94 ; http://resolver.tudelft.nl/uuid:418ca337-3518-4a0c-ba87-6117d114cf94


Anna University

19. Muthamizhan T. Design and development of web based Embedded controller For electric drives;.

Degree: Design and development of web based Embedded controller For electric drives, 2015, Anna University

The main objective of this research work is to design and develop a newlineweb based embedded controller for a PV powered low cost batteryless newlineelectric… (more)

Subjects/Keywords: Fuzzy Logic based Direct Torque Control; Fuzzy Logic Controller; Maximum Power Point Tracking

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APA (6th Edition):

T, M. (2015). Design and development of web based Embedded controller For electric drives;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/55924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

T, Muthamizhan. “Design and development of web based Embedded controller For electric drives;.” 2015. Thesis, Anna University. Accessed January 20, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/55924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

T, Muthamizhan. “Design and development of web based Embedded controller For electric drives;.” 2015. Web. 20 Jan 2021.

Vancouver:

T M. Design and development of web based Embedded controller For electric drives;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Jan 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/55924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

T M. Design and development of web based Embedded controller For electric drives;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/55924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ottawa

20. Zhu, Jiayi. Adaptive Fuzzy Logic Control for Time-Delayed Bilateral Teleoperation .

Degree: 2012, University of Ottawa

 In recent years, teleoperation has shown great potentials in different fields such as spatial, mining, under-water, etc. When teleoperation is required to be bilateral, the… (more)

Subjects/Keywords: fuzzy logic; bilateral teleoperation; fuzzy logic control for medicine,; teleoperation for medicine

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APA (6th Edition):

Zhu, J. (2012). Adaptive Fuzzy Logic Control for Time-Delayed Bilateral Teleoperation . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/20626

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Jiayi. “Adaptive Fuzzy Logic Control for Time-Delayed Bilateral Teleoperation .” 2012. Thesis, University of Ottawa. Accessed January 20, 2021. http://hdl.handle.net/10393/20626.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Jiayi. “Adaptive Fuzzy Logic Control for Time-Delayed Bilateral Teleoperation .” 2012. Web. 20 Jan 2021.

Vancouver:

Zhu J. Adaptive Fuzzy Logic Control for Time-Delayed Bilateral Teleoperation . [Internet] [Thesis]. University of Ottawa; 2012. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10393/20626.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu J. Adaptive Fuzzy Logic Control for Time-Delayed Bilateral Teleoperation . [Thesis]. University of Ottawa; 2012. Available from: http://hdl.handle.net/10393/20626

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Palakeerthi, Ramesh. Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN.

Degree: 2015, INFLIBNET

 This thesis presents a sensorless controlled lowcost low power variable speed drive system suitable for automotive applications Switched Reluctance Motor is attractive to researchers because… (more)

Subjects/Keywords: Motor drives Fuzzy logic Artificial Neural Networks Adaptive Neuro Fuzzy Interface System Switched Reluctance Motor

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APA (6th Edition):

Palakeerthi, R. (2015). Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/45943

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Palakeerthi, Ramesh. “Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN.” 2015. Thesis, INFLIBNET. Accessed January 20, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/45943.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Palakeerthi, Ramesh. “Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN.” 2015. Web. 20 Jan 2021.

Vancouver:

Palakeerthi R. Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN. [Internet] [Thesis]. INFLIBNET; 2015. [cited 2021 Jan 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/45943.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Palakeerthi R. Sensorless SR drive for non linear and automotive control applications using fuzzy and ANN. [Thesis]. INFLIBNET; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/45943

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brunel University

22. Shekarriz, Mona. The foundation of capability modelling : a study of the impact and utilisation of human resources.

Degree: PhD, 2011, Brunel University

 This research aims at finding a foundation for assessment of capabilities and applying the concept in a human resource selection. The research identifies a common… (more)

Subjects/Keywords: 331.2; Capability theory; Person-environment fit; Job evaluation; Adaptive neuro fuzzy inference system; Fuzzy logic

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APA (6th Edition):

Shekarriz, M. (2011). The foundation of capability modelling : a study of the impact and utilisation of human resources. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/5257 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535948

Chicago Manual of Style (16th Edition):

Shekarriz, Mona. “The foundation of capability modelling : a study of the impact and utilisation of human resources.” 2011. Doctoral Dissertation, Brunel University. Accessed January 20, 2021. http://bura.brunel.ac.uk/handle/2438/5257 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535948.

MLA Handbook (7th Edition):

Shekarriz, Mona. “The foundation of capability modelling : a study of the impact and utilisation of human resources.” 2011. Web. 20 Jan 2021.

Vancouver:

Shekarriz M. The foundation of capability modelling : a study of the impact and utilisation of human resources. [Internet] [Doctoral dissertation]. Brunel University; 2011. [cited 2021 Jan 20]. Available from: http://bura.brunel.ac.uk/handle/2438/5257 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535948.

Council of Science Editors:

Shekarriz M. The foundation of capability modelling : a study of the impact and utilisation of human resources. [Doctoral Dissertation]. Brunel University; 2011. Available from: http://bura.brunel.ac.uk/handle/2438/5257 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535948


New Jersey Institute of Technology

23. Chang, Shu-Chieh. Adaptive nonlinear control using fuzzy logic and neural networks.

Degree: PhD, Mechanical and Industrial Engineering, 1994, New Jersey Institute of Technology

  The problem of adaptive nonlinear control, i.e. the control of nonlinear dynamic systems with unknown parameters, is considered. Current techniques usually assume that either… (more)

Subjects/Keywords: Adaptive control systems.; Neural networks (Computer science); Fuzzy logic.; Mechanical Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chang, S. (1994). Adaptive nonlinear control using fuzzy logic and neural networks. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/1083

Chicago Manual of Style (16th Edition):

Chang, Shu-Chieh. “Adaptive nonlinear control using fuzzy logic and neural networks.” 1994. Doctoral Dissertation, New Jersey Institute of Technology. Accessed January 20, 2021. https://digitalcommons.njit.edu/dissertations/1083.

MLA Handbook (7th Edition):

Chang, Shu-Chieh. “Adaptive nonlinear control using fuzzy logic and neural networks.” 1994. Web. 20 Jan 2021.

Vancouver:

Chang S. Adaptive nonlinear control using fuzzy logic and neural networks. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 1994. [cited 2021 Jan 20]. Available from: https://digitalcommons.njit.edu/dissertations/1083.

Council of Science Editors:

Chang S. Adaptive nonlinear control using fuzzy logic and neural networks. [Doctoral Dissertation]. New Jersey Institute of Technology; 1994. Available from: https://digitalcommons.njit.edu/dissertations/1083

24. CHEN XUETAO. Adaptive Interval Type-2 Fuzzy Logic Control of Marine Vessels.

Degree: 2012, National University of Singapore

Subjects/Keywords: adaptive fuzzy control; interval type-2 fuzzy logic system; marine vessel control; function approximation; dynamic positioning; tracking control

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APA (6th Edition):

XUETAO, C. (2012). Adaptive Interval Type-2 Fuzzy Logic Control of Marine Vessels. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/36571

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

XUETAO, CHEN. “Adaptive Interval Type-2 Fuzzy Logic Control of Marine Vessels.” 2012. Thesis, National University of Singapore. Accessed January 20, 2021. http://scholarbank.nus.edu.sg/handle/10635/36571.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

XUETAO, CHEN. “Adaptive Interval Type-2 Fuzzy Logic Control of Marine Vessels.” 2012. Web. 20 Jan 2021.

Vancouver:

XUETAO C. Adaptive Interval Type-2 Fuzzy Logic Control of Marine Vessels. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2021 Jan 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/36571.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XUETAO C. Adaptive Interval Type-2 Fuzzy Logic Control of Marine Vessels. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/36571

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Clemson University

25. Pandit, Chinmay. A Model-free Approach to Vehicle Stability Control.

Degree: MS, Mechanical Engineering, 2013, Clemson University

  This project explored the feasibility of using measured responses of a passenger car together with a fuzzy logic based control algorithm to sense the… (more)

Subjects/Keywords: Electronic Stability Control; Fuzzy Logic; Robust Control; Mechanical Engineering

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APA (6th Edition):

Pandit, C. (2013). A Model-free Approach to Vehicle Stability Control. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1637

Chicago Manual of Style (16th Edition):

Pandit, Chinmay. “A Model-free Approach to Vehicle Stability Control.” 2013. Masters Thesis, Clemson University. Accessed January 20, 2021. https://tigerprints.clemson.edu/all_theses/1637.

MLA Handbook (7th Edition):

Pandit, Chinmay. “A Model-free Approach to Vehicle Stability Control.” 2013. Web. 20 Jan 2021.

Vancouver:

Pandit C. A Model-free Approach to Vehicle Stability Control. [Internet] [Masters thesis]. Clemson University; 2013. [cited 2021 Jan 20]. Available from: https://tigerprints.clemson.edu/all_theses/1637.

Council of Science Editors:

Pandit C. A Model-free Approach to Vehicle Stability Control. [Masters Thesis]. Clemson University; 2013. Available from: https://tigerprints.clemson.edu/all_theses/1637


Baylor University

26. Opado, Frederick Odhiambo, 1987-. Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control.

Degree: M.S.E.C.E., Baylor University. Dept. of Electrical & Computer Engineering., 2017, Baylor University

Control of hydro power plants has been an issue of concern for researchers; moreover, more emphasis has always been put on governor control which naturally… (more)

Subjects/Keywords: Fuzzy logic.

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APA (6th Edition):

Opado, Frederick Odhiambo, 1. (2017). Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control. (Masters Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10150

Chicago Manual of Style (16th Edition):

Opado, Frederick Odhiambo, 1987-. “Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control.” 2017. Masters Thesis, Baylor University. Accessed January 20, 2021. http://hdl.handle.net/2104/10150.

MLA Handbook (7th Edition):

Opado, Frederick Odhiambo, 1987-. “Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control.” 2017. Web. 20 Jan 2021.

Vancouver:

Opado, Frederick Odhiambo 1. Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control. [Internet] [Masters thesis]. Baylor University; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2104/10150.

Council of Science Editors:

Opado, Frederick Odhiambo 1. Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control. [Masters Thesis]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10150


Pontifical Catholic University of Rio de Janeiro

27. CRISTHIAN JULIAN GOMEZ LIZCANO. [en] FUZZY CONTROL OF AN AUXILIARY NAVIGATION SYSTEM FOR A HYBRID AMBIENT ROBOT.

Degree: 2016, Pontifical Catholic University of Rio de Janeiro

[pt] Nas últimas décadas o avanço tecnológico tem atingido altos níveis de desenvolvimento, sendo as técnicas de inteligência computacional um dos principais campos em expansão… (more)

Subjects/Keywords: [pt] LOGICA FUZZY; [en] FUZZY LOGIC; [pt] NAVEGACAO; [en] NAVIGATION; [pt] ROBOTICA; [en] ROBOTICS; [pt] CONTROLE FUZZY; [en] FUZZY CONTROL

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APA (6th Edition):

LIZCANO, C. J. G. (2016). [en] FUZZY CONTROL OF AN AUXILIARY NAVIGATION SYSTEM FOR A HYBRID AMBIENT ROBOT. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26406

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

LIZCANO, CRISTHIAN JULIAN GOMEZ. “[en] FUZZY CONTROL OF AN AUXILIARY NAVIGATION SYSTEM FOR A HYBRID AMBIENT ROBOT.” 2016. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed January 20, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26406.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

LIZCANO, CRISTHIAN JULIAN GOMEZ. “[en] FUZZY CONTROL OF AN AUXILIARY NAVIGATION SYSTEM FOR A HYBRID AMBIENT ROBOT.” 2016. Web. 20 Jan 2021.

Vancouver:

LIZCANO CJG. [en] FUZZY CONTROL OF AN AUXILIARY NAVIGATION SYSTEM FOR A HYBRID AMBIENT ROBOT. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2016. [cited 2021 Jan 20]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26406.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

LIZCANO CJG. [en] FUZZY CONTROL OF AN AUXILIARY NAVIGATION SYSTEM FOR A HYBRID AMBIENT ROBOT. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2016. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26406

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Sattar, Muhammad Awais. Adaptive Fuzzy Control of Quadrotor.

Degree: MS, 2017, Rochester Institute of Technology

  In this thesis, intelligent controllers are designed to control attitude for quadrotor UAV (Unmanned Aerial Vehicle).Quadrotors have a variety of applications in real time… (more)

Subjects/Keywords: Adaptive fuzzy PD; Dynamics; Fuzzy logic control; PD control; Roll pitch yaw; UAV

…controller design techniques 1. PD Control 2. Fuzzy logic Control 3. Adaptive Fuzzy PD Control… …36 Chapter 4 Fuzzy Logic Control of Quadrotor… …47 Chapter 5 Adaptive Fuzzy PD Control of Quadrotor… …50 5.2 Adaptive Fuzzy PD Control… …69 B.2 Block Diagrams with Fuzzy Logic Control… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sattar, M. A. (2017). Adaptive Fuzzy Control of Quadrotor. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9618

Chicago Manual of Style (16th Edition):

Sattar, Muhammad Awais. “Adaptive Fuzzy Control of Quadrotor.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed January 20, 2021. https://scholarworks.rit.edu/theses/9618.

MLA Handbook (7th Edition):

Sattar, Muhammad Awais. “Adaptive Fuzzy Control of Quadrotor.” 2017. Web. 20 Jan 2021.

Vancouver:

Sattar MA. Adaptive Fuzzy Control of Quadrotor. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2021 Jan 20]. Available from: https://scholarworks.rit.edu/theses/9618.

Council of Science Editors:

Sattar MA. Adaptive Fuzzy Control of Quadrotor. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9618

29. Severo, Rosane Beatriz Oliveira. Identificação de planta medicinal baseada em espectrocospia e lógica fuzzy.

Degree: PhD, Sistemas Eletrônicos, 2009, University of São Paulo

A presente tese de doutorado discorre sobre o método da espectroscopia na região do Infravermelho Próximo, usando Transformada de Fourier (IVP-TF), aplicada à identificação de… (more)

Subjects/Keywords: Espectroscopia; Fitoterapia (controle de qualidade); Fuzzy logic; Lógica fuzzy; Quality control of herbal medicines; Spectrocospy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Severo, R. B. O. (2009). Identificação de planta medicinal baseada em espectrocospia e lógica fuzzy. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3142/tde-11082010-165539/ ;

Chicago Manual of Style (16th Edition):

Severo, Rosane Beatriz Oliveira. “Identificação de planta medicinal baseada em espectrocospia e lógica fuzzy.” 2009. Doctoral Dissertation, University of São Paulo. Accessed January 20, 2021. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-11082010-165539/ ;.

MLA Handbook (7th Edition):

Severo, Rosane Beatriz Oliveira. “Identificação de planta medicinal baseada em espectrocospia e lógica fuzzy.” 2009. Web. 20 Jan 2021.

Vancouver:

Severo RBO. Identificação de planta medicinal baseada em espectrocospia e lógica fuzzy. [Internet] [Doctoral dissertation]. University of São Paulo; 2009. [cited 2021 Jan 20]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-11082010-165539/ ;.

Council of Science Editors:

Severo RBO. Identificação de planta medicinal baseada em espectrocospia e lógica fuzzy. [Doctoral Dissertation]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-11082010-165539/ ;


Universidade do Rio Grande do Norte

30. Costa, Bruno Sielly Jales. Ambiente para desenvolvimento de aplicações fuzzy industriais .

Degree: 2009, Universidade do Rio Grande do Norte

 This paper describes the design, implementation and enforcement of a system for industrial process control based on fuzzy logic and developed using Java, with support… (more)

Subjects/Keywords: Lógica fuzzy; autimação industrial; controle de processos; OPC; Fuzzy logic; industrial automation; process control; OPC

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Costa, B. S. J. (2009). Ambiente para desenvolvimento de aplicações fuzzy industriais . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/15307

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Costa, Bruno Sielly Jales. “Ambiente para desenvolvimento de aplicações fuzzy industriais .” 2009. Thesis, Universidade do Rio Grande do Norte. Accessed January 20, 2021. http://repositorio.ufrn.br/handle/123456789/15307.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Costa, Bruno Sielly Jales. “Ambiente para desenvolvimento de aplicações fuzzy industriais .” 2009. Web. 20 Jan 2021.

Vancouver:

Costa BSJ. Ambiente para desenvolvimento de aplicações fuzzy industriais . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2009. [cited 2021 Jan 20]. Available from: http://repositorio.ufrn.br/handle/123456789/15307.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Costa BSJ. Ambiente para desenvolvimento de aplicações fuzzy industriais . [Thesis]. Universidade do Rio Grande do Norte; 2009. Available from: http://repositorio.ufrn.br/handle/123456789/15307

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2] [3] [4] [5] … [2015]

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