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Engineering Book from C.H.I.P.S.

Neural Network Control of Nonlinear Discrete Time Systems
by Jagannathan Sarangapani

Neural Network Control of Nonlinear Discrete Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems.

Features:

  • Presents the first comprehensive treatise on neurocontroller design in discrete-time
  • Helps you navigate through the complexity of discrete-time design with progressive development of the concepts
  • Includes a complete derivation of an output feedback controller along with a practical example of spark-engine ignition control using neural networks
  • Develops a framework for implementation in embedded industrial systems

Contents

Background on Neural Networks

  • NN Topologies and Recall
  • Properties of NN
  • NN Weight Selection and Training
  • NN Learning and Control Architectures

Background and Discrete-Time Adaptive Control

  • Dynamical Systems
  • Mathematical Background
  • Properties of Dynamical Systems
  • Nonlinear Stability Analysis and Controls Design
  • Robust Implicit STR

Neural Network Control of Nonlinear Systems and Feedback Linearization

  • NN Control with Discrete-Time Tuning
  • Feedback Linearization
  • NN Feedback Linearization
  • Multilayer NN for Feedback Linearization
  • Passivity Properties of the NN

Neural Network Control of Uncertain Nonlinear Discrete-Time Systems with Actuator Nonlinearities

  • Background on Actuator Nonlinearities
  • Reinforcement NN Learning Control with Saturation
  • Uncertain Nonlinear System with Unknown Deadzone and Saturation Nonlinearities
  • Adaptive NN Control of Nonlinear System with Unknown Backlash

Output Feedback Control of Strict Feedback Nonlinear Mimo Discrete Time Systems

  • Class of Nonlinear Discrete-Time Systems
  • Output Feedback Controller Design
  • Weight Updates for Guaranteed Performance

Neural Network Control of Nonstrict Feedback Nonlinear Systems

  • Adaptive NN Control Design Using State Measurements
  • Output Feedback NN Controller Design

System Identification Usin Discrete-Time Neural Networks

  • Identification of Nonlinear Dynamical Systems
  • Identifier Dynamics for MIMO Systems
  • NN Identifier Design
  • Passivity Properties of the NN

Discrete-Time Model Reference Adaptive Control

  • Dynamics of an mnth-Order Multi-Input and Multi-Output System
  • NN Controller Design
  • Projection Algorithm

Neural Network Control in Discrete-Time Using Hamilton-Jacobi-Bellman Formulation

  • Optimal Control and Generalized HJB Equation in Discrete-Time
  • NN Least-Squares Approach
  • Numerical Examples

Neural Network Output Feedback Controller Design and Embedded Hardware Implementation

  • Embedded Hardware-PC Real-Time Digital Control System
  • SI Engine Test Bed
  • Lean Engine Controller Design and Implementation
  • EGR Engine Controller Design and Implementation

Index

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Neural Network Control of Nonlinear Discrete Time Systems
by Jagannathan Sarangapani
2006 624 pages $148.95 + shipping
Texas residents please add 6.75 % sales tax

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