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You searched for subject:(neuro controller). Showing records 1 – 9 of 9 total matches.

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1. Balaji, K. Second order KY converter voltage ripple reduction and load regulation by adaptive neuro fuzzy controller; -.

Degree: Electronic engineering, 2015, St Peters University

Available

Bibliography p.96-105

Advisors/Committee Members: Manic, Suresh K.

Subjects/Keywords: adaptive neuro fuzzy controller; KY converter

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

APA (6th Edition):

Balaji, K. (2015). Second order KY converter voltage ripple reduction and load regulation by adaptive neuro fuzzy controller; -. (Thesis). St Peters University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/42703

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):

Balaji, K. “Second order KY converter voltage ripple reduction and load regulation by adaptive neuro fuzzy controller; -.” 2015. Thesis, St Peters University. Accessed February 27, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/42703.

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

MLA Handbook (7th Edition):

Balaji, K. “Second order KY converter voltage ripple reduction and load regulation by adaptive neuro fuzzy controller; -.” 2015. Web. 27 Feb 2021.

Vancouver:

Balaji K. Second order KY converter voltage ripple reduction and load regulation by adaptive neuro fuzzy controller; -. [Internet] [Thesis]. St Peters University; 2015. [cited 2021 Feb 27]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/42703.

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

Council of Science Editors:

Balaji K. Second order KY converter voltage ripple reduction and load regulation by adaptive neuro fuzzy controller; -. [Thesis]. St Peters University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/42703

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


Vrije Universiteit Amsterdam

2. Nitschke, G.S. Neuro-Evolution for Emergent Specialization in Collective Behavior Systems .

Degree: 2009, Vrije Universiteit Amsterdam

Subjects/Keywords: Controller design using neuro-evolution in collective behaviour systems; Neuro-Evolution; Collective Behavior

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APA (6th Edition):

Nitschke, G. S. (2009). Neuro-Evolution for Emergent Specialization in Collective Behavior Systems . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/13153

Chicago Manual of Style (16th Edition):

Nitschke, G S. “Neuro-Evolution for Emergent Specialization in Collective Behavior Systems .” 2009. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed February 27, 2021. http://hdl.handle.net/1871/13153.

MLA Handbook (7th Edition):

Nitschke, G S. “Neuro-Evolution for Emergent Specialization in Collective Behavior Systems .” 2009. Web. 27 Feb 2021.

Vancouver:

Nitschke GS. Neuro-Evolution for Emergent Specialization in Collective Behavior Systems . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2009. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1871/13153.

Council of Science Editors:

Nitschke GS. Neuro-Evolution for Emergent Specialization in Collective Behavior Systems . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2009. Available from: http://hdl.handle.net/1871/13153


University of Michigan

3. Johri, Rajit. Neuro_Dynamic Programming and Reinforcement Learning for Optimal Energy Management of a Series Hydraulic Hybrid Vehicle Considering Engine Transient Emissions.

Degree: PhD, Mechanical Engineering, 2011, University of Michigan

 Sequential decision problems under uncertainty are encountered in various fields such as optimal control and operations research. In this dissertation, Neuro-Dynamic Programming (NDP) and Reinforcement… (more)

Subjects/Keywords: Neuro Dynamic Programming; Hybrid Vehicle; Supervisory Controller / Power Management; Soot and NOx Model; Optimal Control; Transient Diesel Emission; Mechanical Engineering; Engineering

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APA (6th Edition):

Johri, R. (2011). Neuro_Dynamic Programming and Reinforcement Learning for Optimal Energy Management of a Series Hydraulic Hybrid Vehicle Considering Engine Transient Emissions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89829

Chicago Manual of Style (16th Edition):

Johri, Rajit. “Neuro_Dynamic Programming and Reinforcement Learning for Optimal Energy Management of a Series Hydraulic Hybrid Vehicle Considering Engine Transient Emissions.” 2011. Doctoral Dissertation, University of Michigan. Accessed February 27, 2021. http://hdl.handle.net/2027.42/89829.

MLA Handbook (7th Edition):

Johri, Rajit. “Neuro_Dynamic Programming and Reinforcement Learning for Optimal Energy Management of a Series Hydraulic Hybrid Vehicle Considering Engine Transient Emissions.” 2011. Web. 27 Feb 2021.

Vancouver:

Johri R. Neuro_Dynamic Programming and Reinforcement Learning for Optimal Energy Management of a Series Hydraulic Hybrid Vehicle Considering Engine Transient Emissions. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2027.42/89829.

Council of Science Editors:

Johri R. Neuro_Dynamic Programming and Reinforcement Learning for Optimal Energy Management of a Series Hydraulic Hybrid Vehicle Considering Engine Transient Emissions. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89829


University of Manitoba

4. Aldaba, Cassandra. Investigation of virtual reality locomotion technology effects on simulator sickness and application for neuro-cogntive training for participants with memory problems.

Degree: Biomedical Engineering, 2018, University of Manitoba

 This thesis investigated the effects of virtual reality locomotive controllers with a head-mounted display on a user’s simulator sickness and controller’s intuitiveness. The investigation included… (more)

Subjects/Keywords: Simulator Sickness; Virtual Reality; Neuro-cognitive training; VR; HMD; VRN Chair; Spatial Navigation; Cognitive Training; Locomotion Controller; Memory

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APA (6th Edition):

Aldaba, C. (2018). Investigation of virtual reality locomotion technology effects on simulator sickness and application for neuro-cogntive training for participants with memory problems. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33301

Chicago Manual of Style (16th Edition):

Aldaba, Cassandra. “Investigation of virtual reality locomotion technology effects on simulator sickness and application for neuro-cogntive training for participants with memory problems.” 2018. Masters Thesis, University of Manitoba. Accessed February 27, 2021. http://hdl.handle.net/1993/33301.

MLA Handbook (7th Edition):

Aldaba, Cassandra. “Investigation of virtual reality locomotion technology effects on simulator sickness and application for neuro-cogntive training for participants with memory problems.” 2018. Web. 27 Feb 2021.

Vancouver:

Aldaba C. Investigation of virtual reality locomotion technology effects on simulator sickness and application for neuro-cogntive training for participants with memory problems. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1993/33301.

Council of Science Editors:

Aldaba C. Investigation of virtual reality locomotion technology effects on simulator sickness and application for neuro-cogntive training for participants with memory problems. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33301


University of Ontario Institute of Technology

5. Multani, Munish. Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System.

Degree: 2010, University of Ontario Institute of Technology

 This thesis deals with enhancing the performance of Fuzzy Logic (FL) based PI controllers for High Voltage Direct Current Transmission Systems (HVDC) by optimizing the… (more)

Subjects/Keywords: HVDC converter; Fuzzy logic controller; Membership function; Neuro-fuzzy controller; EMTP-RV

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

APA (6th Edition):

Multani, M. (2010). Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/103

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):

Multani, Munish. “Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System.” 2010. Thesis, University of Ontario Institute of Technology. Accessed February 27, 2021. http://hdl.handle.net/10155/103.

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

MLA Handbook (7th Edition):

Multani, Munish. “Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System.” 2010. Web. 27 Feb 2021.

Vancouver:

Multani M. Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System. [Internet] [Thesis]. University of Ontario Institute of Technology; 2010. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10155/103.

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

Council of Science Editors:

Multani M. Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System. [Thesis]. University of Ontario Institute of Technology; 2010. Available from: http://hdl.handle.net/10155/103

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


Pontifical Catholic University of Rio de Janeiro

6. VINICIUS DE MELLO LIMA. [en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM FOR UAV S, BASED ON NEURO-FUZZY CONTROLLER.

Degree: 2019, Pontifical Catholic University of Rio de Janeiro

[pt] Esta dissertação apresenta o projeto e desenvolvimento de um sistema para detecção e desvio de obstáculos para veículos aéreos não tripulados (VANTs), implementado por… (more)

Subjects/Keywords: [pt] SONAR; [en] SONAR; [pt] VANT; [en] UAV; [pt] ENGENHARIA ELETRICA - TESES; [en] ELECTRICAL ENGINEERING - THESIS; [pt] SISTEMA DE DETECCAO E DESVIO DE OBSTACULO; [en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM; [pt] CONTROLADOR NEURO-FUZZY; [en] NEURO-FUZZY CONTROLLER; [pt] LIDAR; [en] LIDAR

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APA (6th Edition):

LIMA, V. D. M. (2019). [en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM FOR UAV S, BASED ON NEURO-FUZZY CONTROLLER. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=37757

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):

LIMA, VINICIUS DE MELLO. “[en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM FOR UAV S, BASED ON NEURO-FUZZY CONTROLLER.” 2019. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed February 27, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=37757.

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

MLA Handbook (7th Edition):

LIMA, VINICIUS DE MELLO. “[en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM FOR UAV S, BASED ON NEURO-FUZZY CONTROLLER.” 2019. Web. 27 Feb 2021.

Vancouver:

LIMA VDM. [en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM FOR UAV S, BASED ON NEURO-FUZZY CONTROLLER. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2019. [cited 2021 Feb 27]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=37757.

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

Council of Science Editors:

LIMA VDM. [en] OBSTACLE DETECTION AND AVOIDANCE SYSTEM FOR UAV S, BASED ON NEURO-FUZZY CONTROLLER. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2019. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=37757

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


Colorado State University

7. Kretchmar, R. Matthew. Synthesis of reinforcement learning and robust control theory, A.

Degree: PhD, Computer Science, 2000, Colorado State University

 The pursuit of control algorithms with improved performance drives the entire control research community as well as large parts of the mathematics, engineering, and artificial… (more)

Subjects/Keywords: robust control theory; neuro-control scheme; neuro-controller; neural networks; Reinforcement learning; Control theory

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APA (6th Edition):

Kretchmar, R. M. (2000). Synthesis of reinforcement learning and robust control theory, A. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/26305

Chicago Manual of Style (16th Edition):

Kretchmar, R Matthew. “Synthesis of reinforcement learning and robust control theory, A.” 2000. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/26305.

MLA Handbook (7th Edition):

Kretchmar, R Matthew. “Synthesis of reinforcement learning and robust control theory, A.” 2000. Web. 27 Feb 2021.

Vancouver:

Kretchmar RM. Synthesis of reinforcement learning and robust control theory, A. [Internet] [Doctoral dissertation]. Colorado State University; 2000. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/26305.

Council of Science Editors:

Kretchmar RM. Synthesis of reinforcement learning and robust control theory, A. [Doctoral Dissertation]. Colorado State University; 2000. Available from: http://hdl.handle.net/10217/26305


Pontifical Catholic University of Rio de Janeiro

8. GIOVANE QUADRELLI. [en] NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS.

Degree: 2002, Pontifical Catholic University of Rio de Janeiro

[pt] Este trabalho apresenta procedimentos de modelagem e controle neuro-fuzzy de sistemas dinâmicos. Neste contexto, é proposta e avaliada a utilização simultânea da abordagem neuro-fuzzy… (more)

Subjects/Keywords: [pt] REDES NEURAIS; [en] NEURAL NETWORKS; [pt] LOGICA FUZZY; [en] FUZZY LOGIC; [pt] CONTROLADOR NEURO-FUZZY DE COEFICIENTES VARIAVEIS; [en] NEURO-FUZZY CONTROLLER WITH VARIABLE COEFFICIENTS

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

APA (6th Edition):

QUADRELLI, G. (2002). [en] NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2701

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):

QUADRELLI, GIOVANE. “[en] NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS.” 2002. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed February 27, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2701.

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

MLA Handbook (7th Edition):

QUADRELLI, GIOVANE. “[en] NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS.” 2002. Web. 27 Feb 2021.

Vancouver:

QUADRELLI G. [en] NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2002. [cited 2021 Feb 27]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2701.

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

Council of Science Editors:

QUADRELLI G. [en] NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2002. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2701

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

9. Ατσαλάκης, Γιώργος. Σύστημα πρόβλεψης της βραχυχρόνιας τάσης της τιμής των μετοχών με χρήση νευρο-ασαφών μεθόδων.

Degree: 2006, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης

Subjects/Keywords: Πρόβλεψη αγορών; Πρόβλεψη δεικτών; Πρόβλεψη με νευρο-ασαφή συστήματα; Πρόβλεψη με νευρωνικά δίκτυα; Πρόβλεψη με ασαφή λογική; Χρηματιστήριο; Ελεγκτές για πρόβλεψη; Πρόβλεψη τιμών μετοχών; Πρόβλεψη χρηματαγορών; Πρόβλεψη τάσης μετοχών; Forecasting; Stock price forecasting; Stock exchange; Stock market; Neuro-fuzzy stock market forecasting; Neural network stock market forecasting; Fuzzy stock market forecasting; Forecasting by controller; Stock trend; Stock market trend

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APA (6th Edition):

Ατσαλάκης, . . (2006). Σύστημα πρόβλεψης της βραχυχρόνιας τάσης της τιμής των μετοχών με χρήση νευρο-ασαφών μεθόδων. (Thesis). Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Retrieved from http://hdl.handle.net/10442/hedi/14420

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):

Ατσαλάκης, Γιώργος. “Σύστημα πρόβλεψης της βραχυχρόνιας τάσης της τιμής των μετοχών με χρήση νευρο-ασαφών μεθόδων.” 2006. Thesis, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Accessed February 27, 2021. http://hdl.handle.net/10442/hedi/14420.

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

MLA Handbook (7th Edition):

Ατσαλάκης, Γιώργος. “Σύστημα πρόβλεψης της βραχυχρόνιας τάσης της τιμής των μετοχών με χρήση νευρο-ασαφών μεθόδων.” 2006. Web. 27 Feb 2021.

Vancouver:

Ατσαλάκης . Σύστημα πρόβλεψης της βραχυχρόνιας τάσης της τιμής των μετοχών με χρήση νευρο-ασαφών μεθόδων. [Internet] [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 2006. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10442/hedi/14420.

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

Council of Science Editors:

Ατσαλάκης . Σύστημα πρόβλεψης της βραχυχρόνιας τάσης της τιμής των μετοχών με χρήση νευρο-ασαφών μεθόδων. [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 2006. Available from: http://hdl.handle.net/10442/hedi/14420

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

.