Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

1. Front Matter

   Pages i-xxiii

   PDF

2. Introduction

   • Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi

   Pages 1-7

3. Mathematical Preliminaries

   • Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi

   Pages 9-16

4. NN-Based Adaptive Control of Affine Nonlinear Systems

   • Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi

   Pages 17-58

5. NN-Based Adaptive Control of Nonaffine Canonical Nonlinear Systems

   • Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi

   Pages 59-98

6. NN-Based Adaptive Control of Nonaffine Noncanonical Nonlinear Systems

   • Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi

   Pages 99-126

7. NN-Based Adaptive Control of MIMO Nonaffine Noncanonical Nonlinear Systems

   • Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi

   Pages 127-160

8. Back Matter

   Pages 161-163

   PDF

The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations (i.e., saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems.

 

• Adaptive control
• observer-based control
• neural networks
• saturation constraints
• robotic systems
• nonlinear systems
• model-free controller
• nonlinear observers
• nonlinear identifiers
• input constraints
• complexity

• Center for Systems Science, Yale University, New Haven, USA

  Kasra Esfandiari

• Department of Electrical Engineering, Amirkabir University, Tehran, Iran

  Farzaneh Abdollahi, Heidar A. Talebi

Kasra Esfandiari is a PhD candidate at The Center for Systems Science, Yale University, New Haven, CT, United States.

 

Farzaneh Abdollahi is Associate Professor at the Department of Electrical Engineering, AmirKabir University, Tehran, Iran and Adjunct Assistant Prof. at Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada.

 

Heidar Ali Talebi is Professor at the Department of Electrical Engineering, AmirKabir University, Tehran, Iran and Adjunct Professor at the Department of Electrical Engineering, University of Western Ontario, London, ON, Canada. 

Policies and ethics