Discrete-Time Recurrent Neural Control : Analysis and Applications /: Analysis and Applications. (2018)
- Record Type:
- Book
- Title:
- Discrete-Time Recurrent Neural Control : Analysis and Applications /: Analysis and Applications. (2018)
- Main Title:
- Discrete-Time Recurrent Neural Control : Analysis and Applications
- Further Information:
- Note: Edgar N. Sánchez.
- Authors:
- Sanchez, Edgar N
- Contents:
- Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgments; Authors; SECTION I: Analyses; Chapter 1: Introduction; 1.1 Preliminaries; 1.2 Motivation; 1.3 Objectives; 1.4 Book Structure; 1.5 Notation; 1.6 Acronyms; Chapter 2: Mathematical Preliminaries; 2.1 Optimal Control; 2.2 Lyapunov Stability; 2.3: Robust Stability Analysis; 2.3.1 Optimal Control for Disturbed Systems; 2.4 Passivity; 2.5 Discrete-time High Order Neural Networks; 2.6 The EKF Training Algorithm; 2.7 Separation Principle for Discrete-time Nonlinear Systems Chapter 3: Neural Block Control3.1 Identification; 3.2 Illustrative Example; 3.3 Neural Block Controller Design; 3.4 Applications; 3.4.1 Neural Network Identification; 3.4.2 Neural Block Controller Design; 3.4.3 Reduced Order Nonlinear Observer; 3.4.4 Simulation Results; 3.5 Conclusions; Chapter 4: Neural Optimal Control; 4.1 Inverse Optimal Control via CLF; 4.1.1 Example; 4.1.2 Inverse Optimal Control for Linear Systems; 4.2 Robust Inverse Optimal Control; 4.3 Trajectory Tracking Inverse Optimal Control; 4.3.1 Application to the Boost Converter; 4.3.1.1 Boost Converter Model 4.3.1.2 Control Synthesis4.3.1.3 Simulation Results; 4.4 CLF-based Inverse Optimal Control for a Class of Nonlinear Positive Systems; 4.5 Speed-gradient for the Inverse Optimal Control; 4.5.1 Speed-gradient Algorithm; 4.5.2 Summary of the Proposed SG Algorithm to Calculate Parameter pk; 4.5.3 SG Inverse Optimal Control; 4.5.3.1 Example;Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgments; Authors; SECTION I: Analyses; Chapter 1: Introduction; 1.1 Preliminaries; 1.2 Motivation; 1.3 Objectives; 1.4 Book Structure; 1.5 Notation; 1.6 Acronyms; Chapter 2: Mathematical Preliminaries; 2.1 Optimal Control; 2.2 Lyapunov Stability; 2.3: Robust Stability Analysis; 2.3.1 Optimal Control for Disturbed Systems; 2.4 Passivity; 2.5 Discrete-time High Order Neural Networks; 2.6 The EKF Training Algorithm; 2.7 Separation Principle for Discrete-time Nonlinear Systems Chapter 3: Neural Block Control3.1 Identification; 3.2 Illustrative Example; 3.3 Neural Block Controller Design; 3.4 Applications; 3.4.1 Neural Network Identification; 3.4.2 Neural Block Controller Design; 3.4.3 Reduced Order Nonlinear Observer; 3.4.4 Simulation Results; 3.5 Conclusions; Chapter 4: Neural Optimal Control; 4.1 Inverse Optimal Control via CLF; 4.1.1 Example; 4.1.2 Inverse Optimal Control for Linear Systems; 4.2 Robust Inverse Optimal Control; 4.3 Trajectory Tracking Inverse Optimal Control; 4.3.1 Application to the Boost Converter; 4.3.1.1 Boost Converter Model 4.3.1.2 Control Synthesis4.3.1.3 Simulation Results; 4.4 CLF-based Inverse Optimal Control for a Class of Nonlinear Positive Systems; 4.5 Speed-gradient for the Inverse Optimal Control; 4.5.1 Speed-gradient Algorithm; 4.5.2 Summary of the Proposed SG Algorithm to Calculate Parameter pk; 4.5.3 SG Inverse Optimal Control; 4.5.3.1 Example; 4.5.4 Application to the Inverted Pendulum on a Cart; 4.5.4.1 Simulation Results; 4.6 Speed-gradient Algorithm for Trajectory Tracking; 4.6.1 Example; 4.7 Trajectory Tracking for Systems in Block-control Form; 4.7.1 Example; 4.8 Neural Inverse Optimal Control 4.8.1 Stabilization4.8.1.1 Example; 4.8.2 Trajectory Tracking; 4.8.2.1 Application to a Synchronous Generator; 4.8.2.2 Comparison; 4.9 Block-control Form: A Nonlinear Systems Particular Class; 4.9.1 Block Transformation; 4.9.2 Block Inverse Optimal Control; 4.10 Conclusions; SECTION II: Real-Time Applications; Chapter 5: Induction Motors; 5.1 Neural Identifier; 5.2 Discrete-time Super-twisting Observer; 5.3 Neural Sliding Modes Block Control; 5.4 Neural Inverse Optimal Control; 5.5 Implementation; 5.6 Prototype; 5.6.1 RCP System; 5.6.2 Power Electronics; 5.6.3 Signal Conditioning for ADC 5.6.4 Real-time Controller Implementation5.6.4.1 Induction Motor Inputs and Outputs; 5.6.4.2 Flux Observer; 5.6.4.3 Neural Identifier; 5.6.4.4 Serial Communication Interface; 5.6.5 Neural Sliding Mode Real-time Results; 5.6.6 Neural Inverse Optimal Control Real-time Results; 5.7 Conclusions; Chapter 6: Doubly Fed Induction Generator; 6.1 Neural Identifiers; 6.1.1 DFIG Neural Identifier; 6.1.2 DC Link Neural Identifier; 6.2 Neural Sliding Mode Block Control; 6.2.1 DFIG Controller; 6.2.1.1 Simulation Results; 6.2.2 DC Link Controller; 6.2.2.1 Simulation Results … (more)
- Publisher Details:
- Boca Raton, FL : CRC Press
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 629.89563201183
Industrial Electronics
Intelligent Systems
Systems & Controls
ENGnetBASE
ElectricalEngineeringnetBASE
SCI-TECHnetBASE
STMnetBASE
Automatic control -- Data processing
Discrete-time systems
Neural networks (Computer science)
Nonlinear control theory
Automatic control -- Data processing
Discrete-time systems
Neural networks (Computer science)
Nonlinear control theory
TECHNOLOGY & ENGINEERING / Engineering (General)
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9781315147185
1315147181
9781351377430
1351377434
9781351377423
1351377426 - Related ISBNs:
- 9781138550209
1138550205 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.325501
- Ingest File:
- 01_264.xml