Neural Network Control of Nonlinear Discrete-Time Systems
eBook - ePub

Neural Network Control of Nonlinear Discrete-Time Systems

  1. 622 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Neural Network Control of Nonlinear Discrete-Time Systems

About this book

Intelligent systems are a hallmark of modern feedback control systems. But as these systems mature, we have come to expect higher levels of performance in speed and accuracy in the face of severe nonlinearities, disturbances, unforeseen dynamics, and unstructured uncertainties. Artificial neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control methods in more complex systems. Borrowing from Biology Examining neurocontroller design in discrete-time for the first time, Neural Network Control of Nonlinear Discrete-Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. At every step, the author derives rigorous stability proofs and presents simulation examples to demonstrate the concepts. Progressive Development After an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman formulation. The author concludes by developing a framework for implementing intelligent control in actual industrial systems using embedded hardware. Neural Network Control of Nonlinear Discrete-Time Systems fosters an understanding of neural network controllers and explains how to build them using detailed derivations, stability analysis, and computer simulations.

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Yes, you can access Neural Network Control of Nonlinear Discrete-Time Systems by Jagannathan Sarangapani in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright Page
  5. Dedication
  6. Preface
  7. Contents
  8. 1: Background on Neural Networks
  9. 2: Background and Discrete-Time Adaptive Control
  10. 3: Neural Network Control of Nonlinear Systems and Feedback Linearization
  11. 4: Neural Network Control of Uncertain Nonlinear Discrete-Time Systems with Actuator Nonlinearities
  12. 5: Output Feedback Control of Strict Feedback Nonlinear MIMO Discrete-Time Systems
  13. 6: Neural Network Control of Nonstrict Feedback Nonlinear Systems
  14. 7: System Identification Using Discrete-Time Neural Networks
  15. 8: Discrete-Time Model Reference Adaptive Control
  16. 9: Neural Network Control in Discrete-Time Using Hamilton-JacobiBellman Formulation
  17. 10: Neural Network Output Feedback Controller Design and Embedded Hardware Implementation
  18. Index