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You searched for +publisher:"University of Florida" +contributor:("Dixon, Warren E"). Showing records 1 – 30 of 103 total matches.

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University of Florida

1. Nezvadovitz, Jason R. Observer-Side Parameter Estimation for Adaptive Control.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2017, University of Florida

 In adaptive control, a controller is precisely designed for a certain model of the system, but that model's parameters are updated online by another mechanism… (more)

Subjects/Keywords: adaptive  – concurrent-learning  – kalman-filter  – nonlinear-control  – stochastic

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APA (6th Edition):

Nezvadovitz, J. R. (2017). Observer-Side Parameter Estimation for Adaptive Control. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051609

Chicago Manual of Style (16th Edition):

Nezvadovitz, Jason R. “Observer-Side Parameter Estimation for Adaptive Control.” 2017. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0051609.

MLA Handbook (7th Edition):

Nezvadovitz, Jason R. “Observer-Side Parameter Estimation for Adaptive Control.” 2017. Web. 20 Sep 2020.

Vancouver:

Nezvadovitz JR. Observer-Side Parameter Estimation for Adaptive Control. [Internet] [Masters thesis]. University of Florida; 2017. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0051609.

Council of Science Editors:

Nezvadovitz JR. Observer-Side Parameter Estimation for Adaptive Control. [Masters Thesis]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051609


University of Florida

2. Merad, Manelle. Isometric Torque Control for Neuromuscular Electrical Stimulation with Fatigue-Induced Delay.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2014, University of Florida

 Neuromuscular electrical stimulation (NMES) is the application of an electric potential field across a muscle to produce a contraction. When the stimulus produces a functional… (more)

Subjects/Keywords: Delay lines; Electric stimulation therapy; Electrical stimulation; Fatigue; Isometric contraction; Muscle fatigue; Propagation delay; Quadriceps muscle; Signals; Torque; delays  – fatigue  – nmes

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APA (6th Edition):

Merad, M. (2014). Isometric Torque Control for Neuromuscular Electrical Stimulation with Fatigue-Induced Delay. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047191

Chicago Manual of Style (16th Edition):

Merad, Manelle. “Isometric Torque Control for Neuromuscular Electrical Stimulation with Fatigue-Induced Delay.” 2014. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0047191.

MLA Handbook (7th Edition):

Merad, Manelle. “Isometric Torque Control for Neuromuscular Electrical Stimulation with Fatigue-Induced Delay.” 2014. Web. 20 Sep 2020.

Vancouver:

Merad M. Isometric Torque Control for Neuromuscular Electrical Stimulation with Fatigue-Induced Delay. [Internet] [Masters thesis]. University of Florida; 2014. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0047191.

Council of Science Editors:

Merad M. Isometric Torque Control for Neuromuscular Electrical Stimulation with Fatigue-Induced Delay. [Masters Thesis]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0047191


University of Florida

3. Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 In this work, a new algorithm is proposed for automatic differentiation. The new algorithm uses object-oriented MATLAB to generate multi-dimensional derivatives. This work combines the… (more)

Subjects/Keywords: Algorithms; Composite functions; Derivative works; Mathematical constants; Mathematical independent variables; Mathematical variables; Mathematical vectors; Matrices; Nonlinear programming; Scalars

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APA (6th Edition):

Ying,Lin. (2011). Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043437

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Ying,Lin. “Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.” 2011. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0043437.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Ying,Lin. “Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.” 2011. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0043437.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. [Masters Thesis]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043437

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

4. Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.

Degree: MS, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 The main feature of this paper is the incorporation of Artificial Neural Networks (ANN) to accelerate the processing time of Genetic Algorithms (GA). In this… (more)

Subjects/Keywords: Approximation; Crossovers; Design engineering; Design optimization; Genetic algorithms; Mathematical vectors; Neural networks; Optimal solutions; Range searching; Trajectories; genetic  – neural  – optimization

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APA (6th Edition):

Nambi,Sara. (2011). Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043086

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Nambi,Sara. “Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.” 2011. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0043086.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Nambi,Sara. “Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.” 2011. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0043086.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. [Masters Thesis]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043086

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

5. Laplassotte, Celine. Needle Insertion for Robotic Surgery.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 Many modern clinical practices involve percutaneous needle insertion. This thesis focuses on modeling and automation aspects related to robotic needle insertion. Medical robotics may offer… (more)

Subjects/Keywords: Body tissues; International conferences; Modeling; Needles; Robotics; Robots; Simulations; Slavery; Stiffness; Trajectories; control  – needle  – robotics

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APA (6th Edition):

Laplassotte, C. (2012). Needle Insertion for Robotic Surgery. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044791

Chicago Manual of Style (16th Edition):

Laplassotte, Celine. “Needle Insertion for Robotic Surgery.” 2012. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0044791.

MLA Handbook (7th Edition):

Laplassotte, Celine. “Needle Insertion for Robotic Surgery.” 2012. Web. 20 Sep 2020.

Vancouver:

Laplassotte C. Needle Insertion for Robotic Surgery. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0044791.

Council of Science Editors:

Laplassotte C. Needle Insertion for Robotic Surgery. [Masters Thesis]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044791


University of Florida

6. Niu,Angela. Camera Based Robotic Control.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Computer vision is a new field of study that can greatly be used in autonomous vehicle navigation or other industrial automation. In this thesis, the… (more)

Subjects/Keywords: Computer vision; Coordinate transformations; Homography; Image processing; Image rotation; Images of transformations; Object recognition; Parametric models; Principal components analysis; Subject terms; recognition  – sift  – stitching

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APA (6th Edition):

Niu,Angela. (2011). Camera Based Robotic Control. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043417

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Niu,Angela. “Camera Based Robotic Control.” 2011. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0043417.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Niu,Angela. “Camera Based Robotic Control.” 2011. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Niu,Angela. Camera Based Robotic Control. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0043417.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Niu,Angela. Camera Based Robotic Control. [Masters Thesis]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043417

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

7. Chang, Yung-Sheng. Adaptive Force and Motion Control of Robot Manipulators in Constrained Motion with Disturbances.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

 The goal of this study is to design a controller to reject the disturbances caused by sensor noise and unmodeled effects during hybrid adaptive force… (more)

Subjects/Keywords: Dynamic modeling; End effectors; Error rates; Friction; Position tracking; Robotics; Robots; Simulations; Torque; Trajectories; adaptive  – constrained  – control  – dynamic  – force  – model  – motion

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APA (6th Edition):

Chang, Y. (2013). Adaptive Force and Motion Control of Robot Manipulators in Constrained Motion with Disturbances. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045516

Chicago Manual of Style (16th Edition):

Chang, Yung-Sheng. “Adaptive Force and Motion Control of Robot Manipulators in Constrained Motion with Disturbances.” 2013. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0045516.

MLA Handbook (7th Edition):

Chang, Yung-Sheng. “Adaptive Force and Motion Control of Robot Manipulators in Constrained Motion with Disturbances.” 2013. Web. 20 Sep 2020.

Vancouver:

Chang Y. Adaptive Force and Motion Control of Robot Manipulators in Constrained Motion with Disturbances. [Internet] [Masters thesis]. University of Florida; 2013. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0045516.

Council of Science Editors:

Chang Y. Adaptive Force and Motion Control of Robot Manipulators in Constrained Motion with Disturbances. [Masters Thesis]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045516


University of Florida

8. Klotz, Justin R. Decentralized Control of Networks of Uncertain Dynamical Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

 Multi-agent networks, such as teams of robotic systems, benefit from the ability to interact and sense the environment in a collaborative manner. Networks containing agents… (more)

Subjects/Keywords: Communication systems; Coordinate systems; Developmental delay; Error signals; Headway; Matrices; Simulations; Sufficient conditions; Topology; Trajectories; autonomous  – control  – decentralized  – network  – nonlinear

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APA (6th Edition):

Klotz, J. R. (2015). Decentralized Control of Networks of Uncertain Dynamical Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047750

Chicago Manual of Style (16th Edition):

Klotz, Justin R. “Decentralized Control of Networks of Uncertain Dynamical Systems.” 2015. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0047750.

MLA Handbook (7th Edition):

Klotz, Justin R. “Decentralized Control of Networks of Uncertain Dynamical Systems.” 2015. Web. 20 Sep 2020.

Vancouver:

Klotz JR. Decentralized Control of Networks of Uncertain Dynamical Systems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0047750.

Council of Science Editors:

Klotz JR. Decentralized Control of Networks of Uncertain Dynamical Systems. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0047750


University of Florida

9. Osentowski, Joseph P. The Use of Area Features and Single Camera Perspective for Determining Camera Position.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 In this project, a computer algorithm was developed to determine the position of a camera based solely on area features extracted from the image of… (more)

Subjects/Keywords: Algorithms; Azimuth; Cameras; Colors; Coordinate systems; Geometric angles; Standard deviation; Symmetry; Wheels; Zenith; analysis  – computer  – determination  – location  – navigation  – photogrammetry  – robot  – scene  – vision; City of Jacksonville ( local )

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APA (6th Edition):

Osentowski, J. P. (2012). The Use of Area Features and Single Camera Perspective for Determining Camera Position. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044730

Chicago Manual of Style (16th Edition):

Osentowski, Joseph P. “The Use of Area Features and Single Camera Perspective for Determining Camera Position.” 2012. Masters Thesis, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0044730.

MLA Handbook (7th Edition):

Osentowski, Joseph P. “The Use of Area Features and Single Camera Perspective for Determining Camera Position.” 2012. Web. 20 Sep 2020.

Vancouver:

Osentowski JP. The Use of Area Features and Single Camera Perspective for Determining Camera Position. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0044730.

Council of Science Editors:

Osentowski JP. The Use of Area Features and Single Camera Perspective for Determining Camera Position. [Masters Thesis]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044730


University of Florida

10. Parikh, Anup N. A Switched Systems Approach to Image-Based Estimation.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2016, University of Florida

 Vision sensors provide rich information about the environment and can be utilized for tracking the position of moving objects from a moving camera. This dissertation… (more)

Subjects/Keywords: Cameras; Coordinate systems; Dwell time; Estimators; Modeling; Signals; State estimation; Statistical estimation; Trajectories; Velocity; control-theory  – estimation  – switched-systems  – vision

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APA (6th Edition):

Parikh, A. N. (2016). A Switched Systems Approach to Image-Based Estimation. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050206

Chicago Manual of Style (16th Edition):

Parikh, Anup N. “A Switched Systems Approach to Image-Based Estimation.” 2016. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0050206.

MLA Handbook (7th Edition):

Parikh, Anup N. “A Switched Systems Approach to Image-Based Estimation.” 2016. Web. 20 Sep 2020.

Vancouver:

Parikh AN. A Switched Systems Approach to Image-Based Estimation. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0050206.

Council of Science Editors:

Parikh AN. A Switched Systems Approach to Image-Based Estimation. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0050206


University of Florida

11. Gardiner, Hannah E. X-Ray Backscatter Radiography System Parameter Evaluation and Optimization for In-situ Agricultural Inspection.

Degree: PhD, Nuclear Engineering Sciences - Nuclear and Radiological Engineering, 2019, University of Florida

 Agricultural intensification to meet the demands for food security has resulted in the degradation of farmable land and natural resources as well as an increase… (more)

Subjects/Keywords: backscatter  – radiography  – x-ray

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APA (6th Edition):

Gardiner, H. E. (2019). X-Ray Backscatter Radiography System Parameter Evaluation and Optimization for In-situ Agricultural Inspection. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0054570

Chicago Manual of Style (16th Edition):

Gardiner, Hannah E. “X-Ray Backscatter Radiography System Parameter Evaluation and Optimization for In-situ Agricultural Inspection.” 2019. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0054570.

MLA Handbook (7th Edition):

Gardiner, Hannah E. “X-Ray Backscatter Radiography System Parameter Evaluation and Optimization for In-situ Agricultural Inspection.” 2019. Web. 20 Sep 2020.

Vancouver:

Gardiner HE. X-Ray Backscatter Radiography System Parameter Evaluation and Optimization for In-situ Agricultural Inspection. [Internet] [Doctoral dissertation]. University of Florida; 2019. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0054570.

Council of Science Editors:

Gardiner HE. X-Ray Backscatter Radiography System Parameter Evaluation and Optimization for In-situ Agricultural Inspection. [Doctoral Dissertation]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0054570


University of Florida

12. Bialy, Brendan J. Lyapunov-Based Control of Limit Cycle Oscillations in Uncertain Aircraft Systems.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2014, University of Florida

 Store-induced limit cycle oscillations (LCO) affect several fighter aircraft and is expected to remain an issue for next generation fighters. LCO arises from the interaction… (more)

Subjects/Keywords: Aircraft; Aircraft wings; Bending; Control surfaces; Limit cycles; Oscillation; Simulations; Sine function; Structural deflection; Trajectories; aeroelasticity  – control  – nonlinear

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APA (6th Edition):

Bialy, B. J. (2014). Lyapunov-Based Control of Limit Cycle Oscillations in Uncertain Aircraft Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046604

Chicago Manual of Style (16th Edition):

Bialy, Brendan J. “Lyapunov-Based Control of Limit Cycle Oscillations in Uncertain Aircraft Systems.” 2014. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0046604.

MLA Handbook (7th Edition):

Bialy, Brendan J. “Lyapunov-Based Control of Limit Cycle Oscillations in Uncertain Aircraft Systems.” 2014. Web. 20 Sep 2020.

Vancouver:

Bialy BJ. Lyapunov-Based Control of Limit Cycle Oscillations in Uncertain Aircraft Systems. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0046604.

Council of Science Editors:

Bialy BJ. Lyapunov-Based Control of Limit Cycle Oscillations in Uncertain Aircraft Systems. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0046604


University of Florida

13. Nivison, Scott A. Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Florida

The task of hypersonic vehicle (HSV) flight control is both intriguing and complicated. HSV control requires dealing with interactions between structural, aerodynamic Advisors/Committee Members: KHARGONEKAR,PRAMOD P (committee chair), DIXON,WARREN E (committee member), FITZ-COY,NORMAN G (committee member).

Subjects/Keywords: adaptive  – hypersonic  – learning  – lyapunov

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APA (6th Edition):

Nivison, S. A. (2017). Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0051837

Chicago Manual of Style (16th Edition):

Nivison, Scott A. “Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications.” 2017. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0051837.

MLA Handbook (7th Edition):

Nivison, Scott A. “Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications.” 2017. Web. 20 Sep 2020.

Vancouver:

Nivison SA. Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0051837.

Council of Science Editors:

Nivison SA. Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications. [Doctoral Dissertation]. University of Florida; 2017. Available from: https://ufdc.ufl.edu/UFE0051837


University of Florida

14. Duenas Fontes, Victor Hazael. Functional Electrical Stimulation-Induced Cycling Using Repetitive Learning and Passivity-Based Control.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2018, University of Florida

 Neurological conditions (NCs) that result in movement disorders greatly affect a person's independence and mobility. Rehabilitative procedures and activity-based therapy have shown a potential to… (more)

Subjects/Keywords: fes-cycling  – learning-control  – lyapunov  – switched-systems

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APA (6th Edition):

Duenas Fontes, V. H. (2018). Functional Electrical Stimulation-Induced Cycling Using Repetitive Learning and Passivity-Based Control. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052087

Chicago Manual of Style (16th Edition):

Duenas Fontes, Victor Hazael. “Functional Electrical Stimulation-Induced Cycling Using Repetitive Learning and Passivity-Based Control.” 2018. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0052087.

MLA Handbook (7th Edition):

Duenas Fontes, Victor Hazael. “Functional Electrical Stimulation-Induced Cycling Using Repetitive Learning and Passivity-Based Control.” 2018. Web. 20 Sep 2020.

Vancouver:

Duenas Fontes VH. Functional Electrical Stimulation-Induced Cycling Using Repetitive Learning and Passivity-Based Control. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0052087.

Council of Science Editors:

Duenas Fontes VH. Functional Electrical Stimulation-Induced Cycling Using Repetitive Learning and Passivity-Based Control. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052087


University of Florida

15. Deptula, Patryk. Data-Based Reinforcement Learning Approximate Optimal Control for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2019, University of Florida

 The last two decades have witnessed an influx of autonomous systems including: unmanned aerial vehicles (UAVs), autonomous underwater vehicles (AUVs), and autonomous land vehicles. Since… (more)

Subjects/Keywords: adaptive  – control  – data-based  – learning  – nonlinear  – optimal  – reinforcement  – uncertain

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APA (6th Edition):

Deptula, P. (2019). Data-Based Reinforcement Learning Approximate Optimal Control for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0054227

Chicago Manual of Style (16th Edition):

Deptula, Patryk. “Data-Based Reinforcement Learning Approximate Optimal Control for Uncertain Nonlinear Systems.” 2019. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0054227.

MLA Handbook (7th Edition):

Deptula, Patryk. “Data-Based Reinforcement Learning Approximate Optimal Control for Uncertain Nonlinear Systems.” 2019. Web. 20 Sep 2020.

Vancouver:

Deptula P. Data-Based Reinforcement Learning Approximate Optimal Control for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2019. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0054227.

Council of Science Editors:

Deptula P. Data-Based Reinforcement Learning Approximate Optimal Control for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0054227


University of Florida

16. Chen, Hsi-Yuan. A Switched Systems Framework for Nonlinear Dynamic Systems with Intermittent State Feedback.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2018, University of Florida

 Abstract Inspired by applications in which autonomous systems are tasked to operate in a feedback-denied region, this dissertation focuses on the development of a novel… (more)

Subjects/Keywords: autonomous-vehicles  – intermittent-state-feedback  – switched-systems

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

APA (6th Edition):

Chen, H. (2018). A Switched Systems Framework for Nonlinear Dynamic Systems with Intermittent State Feedback. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052927

Chicago Manual of Style (16th Edition):

Chen, Hsi-Yuan. “A Switched Systems Framework for Nonlinear Dynamic Systems with Intermittent State Feedback.” 2018. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0052927.

MLA Handbook (7th Edition):

Chen, Hsi-Yuan. “A Switched Systems Framework for Nonlinear Dynamic Systems with Intermittent State Feedback.” 2018. Web. 20 Sep 2020.

Vancouver:

Chen H. A Switched Systems Framework for Nonlinear Dynamic Systems with Intermittent State Feedback. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0052927.

Council of Science Editors:

Chen H. A Switched Systems Framework for Nonlinear Dynamic Systems with Intermittent State Feedback. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052927


University of Florida

17. Bellman, Matthew J. Control of Cycling Induced by Functional Electrical Stimulation a Switched Systems Theory Approach.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

Functional electrical stimulation (FES) can be used to activate the dysfunctional lower limb muscles of individuals with some neurological disease or injury to produce Advisors/Committee Members: DIXON,WARREN E (committee chair), BANKS,SCOTT ARTHUR (committee member), WHEELER,BRUCE (committee member).

Subjects/Keywords: Cadences; Control systems; Electric motors; Electrical stimulation; Knee joint; Sine function; Sufficient conditions; Torque; Trajectories; Velocity; controls  – cycling  – fes  – lyapunov  – rehabilitation  – robotics  – switching

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APA (6th Edition):

Bellman, M. J. (2015). Control of Cycling Induced by Functional Electrical Stimulation a Switched Systems Theory Approach. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049615

Chicago Manual of Style (16th Edition):

Bellman, Matthew J. “Control of Cycling Induced by Functional Electrical Stimulation a Switched Systems Theory Approach.” 2015. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0049615.

MLA Handbook (7th Edition):

Bellman, Matthew J. “Control of Cycling Induced by Functional Electrical Stimulation a Switched Systems Theory Approach.” 2015. Web. 20 Sep 2020.

Vancouver:

Bellman MJ. Control of Cycling Induced by Functional Electrical Stimulation a Switched Systems Theory Approach. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0049615.

Council of Science Editors:

Bellman MJ. Control of Cycling Induced by Functional Electrical Stimulation a Switched Systems Theory Approach. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049615


University of Florida

18. Bell, Zachary I. Target Tracking in Unknown Environments Using a Monocular Camera Subject to Intermittent Sensing.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2019, University of Florida

 In most applications involving autonomous agents tracking a moving target through uncertain environments, it is necessary to estimate the structure of local features in the… (more)

Subjects/Keywords: nonlinear-estimation  – structure-and-motion  – structure-and-motion-from-motion  – visual-odometry

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APA (6th Edition):

Bell, Z. I. (2019). Target Tracking in Unknown Environments Using a Monocular Camera Subject to Intermittent Sensing. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0056078

Chicago Manual of Style (16th Edition):

Bell, Zachary I. “Target Tracking in Unknown Environments Using a Monocular Camera Subject to Intermittent Sensing.” 2019. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0056078.

MLA Handbook (7th Edition):

Bell, Zachary I. “Target Tracking in Unknown Environments Using a Monocular Camera Subject to Intermittent Sensing.” 2019. Web. 20 Sep 2020.

Vancouver:

Bell ZI. Target Tracking in Unknown Environments Using a Monocular Camera Subject to Intermittent Sensing. [Internet] [Doctoral dissertation]. University of Florida; 2019. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0056078.

Council of Science Editors:

Bell ZI. Target Tracking in Unknown Environments Using a Monocular Camera Subject to Intermittent Sensing. [Doctoral Dissertation]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0056078


University of Florida

19. Subramanian, Sankrith. Control Techniques in Dynamic Communication Networks.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 Power control in the Physical Layer of a communication network is used to ensure that each link achieves its target signal-to-interference plus-noise ratio (SINR) to… (more)

Subjects/Keywords: Algorithms; Markov chains; Markov models; Modeling; Natural logarithms; Propagation delay; Radio; Signals; Simulations; Transmitters; cdma  – mac  – nonlinear-control  – wireless

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APA (6th Edition):

Subramanian, S. (2012). Control Techniques in Dynamic Communication Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044591

Chicago Manual of Style (16th Edition):

Subramanian, Sankrith. “Control Techniques in Dynamic Communication Networks.” 2012. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0044591.

MLA Handbook (7th Edition):

Subramanian, Sankrith. “Control Techniques in Dynamic Communication Networks.” 2012. Web. 20 Sep 2020.

Vancouver:

Subramanian S. Control Techniques in Dynamic Communication Networks. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0044591.

Council of Science Editors:

Subramanian S. Control Techniques in Dynamic Communication Networks. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044591


University of Florida

20. Rouse, Courtney A. A Switched Systems Approach to Human-Machine Interaction.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2019, University of Florida

 Functional Electrical Stimulation (FES) is an established method for enhancing rehabilitation exercises for people with neurological conditions.This dissertation explores the use of switched systems theories… (more)

Subjects/Keywords: control  – lyapunov  – nonlinear  – rehabilitation  – robotics  – switching

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

APA (6th Edition):

Rouse, C. A. (2019). A Switched Systems Approach to Human-Machine Interaction. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0054343

Chicago Manual of Style (16th Edition):

Rouse, Courtney A. “A Switched Systems Approach to Human-Machine Interaction.” 2019. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0054343.

MLA Handbook (7th Edition):

Rouse, Courtney A. “A Switched Systems Approach to Human-Machine Interaction.” 2019. Web. 20 Sep 2020.

Vancouver:

Rouse CA. A Switched Systems Approach to Human-Machine Interaction. [Internet] [Doctoral dissertation]. University of Florida; 2019. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0054343.

Council of Science Editors:

Rouse CA. A Switched Systems Approach to Human-Machine Interaction. [Doctoral Dissertation]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0054343


University of Florida

21. Obuz, Serhat. Unknown Time-Varying Input Delay Compensation for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2016, University of Florida

 Time delay commonly exists in engineering applications such as master-slave robots, haptic systems, networked systems, chemical systems, and biological systems. The system dynamics, communication over… (more)

Subjects/Keywords: Developmental delay; Electric stimulation therapy; Electrical stimulation; Error signals; Lower extremity; Propagation delay; Signals; Systems design; Torque; Trajectories; control  – delay  – nonlinear

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APA (6th Edition):

Obuz, S. (2016). Unknown Time-Varying Input Delay Compensation for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049923

Chicago Manual of Style (16th Edition):

Obuz, Serhat. “Unknown Time-Varying Input Delay Compensation for Uncertain Nonlinear Systems.” 2016. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0049923.

MLA Handbook (7th Edition):

Obuz, Serhat. “Unknown Time-Varying Input Delay Compensation for Uncertain Nonlinear Systems.” 2016. Web. 20 Sep 2020.

Vancouver:

Obuz S. Unknown Time-Varying Input Delay Compensation for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0049923.

Council of Science Editors:

Obuz S. Unknown Time-Varying Input Delay Compensation for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0049923


University of Florida

22. Lin, Yashen. Control of Commercial Building HVAC Systems for Power Grid Ancillary Service.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2014, University of Florida

 Ancillary services are used to correct the mismatch between power generation and consumption in a power grid. They are needed to maintain the grid's functionality… (more)

Subjects/Keywords: Air flow; Climate models; Commercial buildings; Cooling; Environmental control systems; Heating ventilation and cooling; Modeling; Signals; Simulations; Temperature control; ancillary  – building  – grid  – hvac

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APA (6th Edition):

Lin, Y. (2014). Control of Commercial Building HVAC Systems for Power Grid Ancillary Service. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046640

Chicago Manual of Style (16th Edition):

Lin, Yashen. “Control of Commercial Building HVAC Systems for Power Grid Ancillary Service.” 2014. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0046640.

MLA Handbook (7th Edition):

Lin, Yashen. “Control of Commercial Building HVAC Systems for Power Grid Ancillary Service.” 2014. Web. 20 Sep 2020.

Vancouver:

Lin Y. Control of Commercial Building HVAC Systems for Power Grid Ancillary Service. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0046640.

Council of Science Editors:

Lin Y. Control of Commercial Building HVAC Systems for Power Grid Ancillary Service. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0046640


University of Florida

23. Asundi,Sharanabasaweshwara. CubeSat System Design Based on Methodologies Adopted for Developing Wireless Robotic Platform.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 CubeSats have been recognized globally for their potential utility for revolutionizing the space industry. However, with the exception of the CubeSat specification, the development approach… (more)

Subjects/Keywords: Artificial satellites; Batteries; Electric potential; Magnetism; Photovoltaic cells; Quaternions; Sensors; Spacecraft; Systems design; Telemetry; attitude  – cdh  – cubesats  – ekf  – estimation  – mission  – multifunctional  – murrell  – nanosatellites  – operations  – panels  – picosatellites  – smallsats  – solar  – ssg  – swampsat  – systems  – ttc

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APA (6th Edition):

Asundi,Sharanabasaweshwara. (2011). CubeSat System Design Based on Methodologies Adopted for Developing Wireless Robotic Platform. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0042579

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Asundi,Sharanabasaweshwara. “CubeSat System Design Based on Methodologies Adopted for Developing Wireless Robotic Platform.” 2011. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0042579.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Asundi,Sharanabasaweshwara. “CubeSat System Design Based on Methodologies Adopted for Developing Wireless Robotic Platform.” 2011. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Asundi,Sharanabasaweshwara. CubeSat System Design Based on Methodologies Adopted for Developing Wireless Robotic Platform. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0042579.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Asundi,Sharanabasaweshwara. CubeSat System Design Based on Methodologies Adopted for Developing Wireless Robotic Platform. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0042579

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

24. Dani,Ashwin P. Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Recent advances in image-based information estimation has enabled the use of vision sensor in many robotics and surveillance applications. The work in this dissertation, is… (more)

Subjects/Keywords: Angular velocity; Coordinate systems; Kinetics; Point estimators; Simulations; State estimation; Statistical estimation; Sufficient conditions; Systems design; Velocity; control  – estimation  – motion  – nonlinear  – slam  – structure  – vision

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APA (6th Edition):

P, D. (2011). Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0042842

Chicago Manual of Style (16th Edition):

P, Dani,Ashwin. “Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision.” 2011. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0042842.

MLA Handbook (7th Edition):

P, Dani,Ashwin. “Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision.” 2011. Web. 20 Sep 2020.

Vancouver:

P D. Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0042842.

Council of Science Editors:

P D. Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0042842


University of Florida

25. Fischer, Nic. Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 Time delays and actuator saturation are two phenomena which affect the performance of dynamic systems under closed-loop control. Effective compensation mechanisms can be applied to… (more)

Subjects/Keywords: Delay lines; Design analysis; Developmental delay; Differential equations; Feedback control; Propagation delay; Signals; Sufficient conditions; Systems design; Trajectories; control  – nonlinear  – time-delays

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APA (6th Edition):

Fischer, N. (2012). Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044857

Chicago Manual of Style (16th Edition):

Fischer, Nic. “Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0044857.

MLA Handbook (7th Edition):

Fischer, Nic. “Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems.” 2012. Web. 20 Sep 2020.

Vancouver:

Fischer N. Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0044857.

Council of Science Editors:

Fischer N. Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044857


University of Florida

26. Navaravong, Leenhapat. Topology Reconfiguration for Systems of Networked Autonomous Vehicles with Network Connectivity Constraints.

Degree: PhD, Electrical and Computer Engineering, 2013, University of Florida

 Future systems of networked autonomous vehicles, such as unmanned aerial or ground vehicles, may rely on peer-to-peer, wireless communication to coordinate their actions. The physical… (more)

Subjects/Keywords: Algorithms; Communication models; Communication systems; Connectivity; Motor vehicle traffic; Plant roots; Simulated annealing; Simulations; Topology; Traffic flow; algorithm  – networking  – topology  – uav

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APA (6th Edition):

Navaravong, L. (2013). Topology Reconfiguration for Systems of Networked Autonomous Vehicles with Network Connectivity Constraints. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045200

Chicago Manual of Style (16th Edition):

Navaravong, Leenhapat. “Topology Reconfiguration for Systems of Networked Autonomous Vehicles with Network Connectivity Constraints.” 2013. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0045200.

MLA Handbook (7th Edition):

Navaravong, Leenhapat. “Topology Reconfiguration for Systems of Networked Autonomous Vehicles with Network Connectivity Constraints.” 2013. Web. 20 Sep 2020.

Vancouver:

Navaravong L. Topology Reconfiguration for Systems of Networked Autonomous Vehicles with Network Connectivity Constraints. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0045200.

Council of Science Editors:

Navaravong L. Topology Reconfiguration for Systems of Networked Autonomous Vehicles with Network Connectivity Constraints. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045200


University of Florida

27. Kim, Dohee. A Novel Integrated Spacecraft Attitude Control System Using Variable Speed Control Moment Gyroscopes a Lyapunov-Based Approach.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Abstract A Variable Speed Control Moment Gyroscope (VSCMG) is a momentum exchange device used for attitude control in various objects such as satellite, aircraft, and… (more)

Subjects/Keywords: Acceleration; Artificial satellites; Attitude control; Gimbals; Kinetics; Momentum; Simulations; Steering; Torque; Wheels; vscmg

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APA (6th Edition):

Kim, D. (2011). A Novel Integrated Spacecraft Attitude Control System Using Variable Speed Control Moment Gyroscopes a Lyapunov-Based Approach. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043645

Chicago Manual of Style (16th Edition):

Kim, Dohee. “A Novel Integrated Spacecraft Attitude Control System Using Variable Speed Control Moment Gyroscopes a Lyapunov-Based Approach.” 2011. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0043645.

MLA Handbook (7th Edition):

Kim, Dohee. “A Novel Integrated Spacecraft Attitude Control System Using Variable Speed Control Moment Gyroscopes a Lyapunov-Based Approach.” 2011. Web. 20 Sep 2020.

Vancouver:

Kim D. A Novel Integrated Spacecraft Attitude Control System Using Variable Speed Control Moment Gyroscopes a Lyapunov-Based Approach. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0043645.

Council of Science Editors:

Kim D. A Novel Integrated Spacecraft Attitude Control System Using Variable Speed Control Moment Gyroscopes a Lyapunov-Based Approach. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043645


University of Florida

28. Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Notions of optimal behavior expressed in natural systems led researchers to develop reinforcement learning (RL) as a computational tool in machine learning to learn actions… (more)

Subjects/Keywords: Approximation; Human error; Identifiers; Learning modalities; Machine learning; Neural networks; Optimal control; Signals; State estimation; Statistical estimation; adaptive  – approximate  – control  – dynamic  – learning  – neural  – nonlinear  – optimal  – reinforcement

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APA (6th Edition):

Bhasin,Shubhendu. (2011). Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0042825

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0042825.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0042825.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0042825

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

29. Dinh, Huyen T. Dynamic Neural Network-Based Robust Control Methods for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 Neural networks (NNs) have proven to be effective tools for identification, estimation and control of complex uncertain nonlinear systems. As a natural extension of feed… (more)

Subjects/Keywords: Approximation; Feedback control; Human error; Neural networks; Neurons; Simulations; Sliding; Statistical estimation; Trajectories; Velocity; adaptive-control  – identification-for-control  – lyapunov-methods  – neural-networks  – nonlinear-time-delay-systems  – observers  – output-feedback  – robust-adaptive-control  – time-delay  – uncertain-systems

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APA (6th Edition):

Dinh, H. T. (2012). Dynamic Neural Network-Based Robust Control Methods for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044481

Chicago Manual of Style (16th Edition):

Dinh, Huyen T. “Dynamic Neural Network-Based Robust Control Methods for Uncertain Nonlinear Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0044481.

MLA Handbook (7th Edition):

Dinh, Huyen T. “Dynamic Neural Network-Based Robust Control Methods for Uncertain Nonlinear Systems.” 2012. Web. 20 Sep 2020.

Vancouver:

Dinh HT. Dynamic Neural Network-Based Robust Control Methods for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0044481.

Council of Science Editors:

Dinh HT. Dynamic Neural Network-Based Robust Control Methods for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044481


University of Florida

30. Wang, Qiang. Lyapunov-Based Neuromuscular Electrical Stimulation Control.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 Neuromuscular electrical stimulation (NMES) or functional electrical stimulation (FES) is a widely used technique for rehabilitation and restoration of motor function. Millions of people suffering… (more)

Subjects/Keywords: Ankle; Cost control; Cost functions; Electric stimulation therapy; Electrical stimulation; Feedback control; Gait; Muscle contraction; Signals; Trajectories; closed-loop  – control  – electrical  – lyapunov-based  – neuromuscular  – stimulation

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APA (6th Edition):

Wang, Q. (2012). Lyapunov-Based Neuromuscular Electrical Stimulation Control. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044949

Chicago Manual of Style (16th Edition):

Wang, Qiang. “Lyapunov-Based Neuromuscular Electrical Stimulation Control.” 2012. Doctoral Dissertation, University of Florida. Accessed September 20, 2020. https://ufdc.ufl.edu/UFE0044949.

MLA Handbook (7th Edition):

Wang, Qiang. “Lyapunov-Based Neuromuscular Electrical Stimulation Control.” 2012. Web. 20 Sep 2020.

Vancouver:

Wang Q. Lyapunov-Based Neuromuscular Electrical Stimulation Control. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Sep 20]. Available from: https://ufdc.ufl.edu/UFE0044949.

Council of Science Editors:

Wang Q. Lyapunov-Based Neuromuscular Electrical Stimulation Control. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044949

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