Optimal Networked Control Systems with MATLAB: 1st Edition (Hardback) book cover

Optimal Networked Control Systems with MATLAB

1st Edition

By Jagannathan Sarangapani, Hao Xu

CRC Press

335 pages | 102 B/W Illus.

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pub: 2015-12-16
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Description

Optimal Networked Control Systems with MATLAB® discusses optimal controller design in discrete time for networked control systems (NCS). The authors apply several powerful modern control techniques in discrete time to the design of intelligent controllers for such NCS. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB® codes are included for each case.

The book begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite and infinite horizons. The text then:

  • Introduces quantization effects for linear and nonlinear NCS, describing the design of stochastic adaptive controllers for a class of linear and nonlinear systems
  • Presents two-player zero-sum game-theoretic formulation for linear systems in input–output form enclosed by a communication network
  • Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic programming
  • Explores stochastic optimal design for nonlinear two-player zero-sum games under communication constraints
  • Treats an event-sampled distributed NCS to minimize transmission of state and control signals within the feedback loop via the communication network
  • Covers distributed joint optimal network scheduling and control design for wireless NCS, as well as the effect of network protocols on the wireless NCS controller design

An ideal reference for graduate students, university researchers, and practicing engineers, Optimal Networked Control Systems with MATLAB® instills a solid understanding of neural network controllers and how to build them.

Table of Contents

Introduction to Networked Control Systems

Overview of Networked Control Techniques

Challenges in Networked Control Systems

Current Research

References

Background on Lyapunov Stability and Stochastic Optimal Control

Deterministic Dynamical Systems

Mathematical Background

Properties of Dynamical Systems

Nonlinear Stability Analysis and Controls Design

Stochastic Discrete-Time Control

Problems

References

Optimal Adaptive Control of Uncertain Linear Network Control Systems

Traditional Control Design and Stochastic Riccati Equation-Based Solution

Finite-Horizon Optimal Adaptive Control

Extensions to Infinite Horizon

Conclusions

Problems

Appendices

References

Optimal Control of Unknown Quantized Network Control Systems

Background

Finite-Horizon Optimal Control of Linear QNCS

Finite-Horizon Optimal Control of Nonlinear QNCS

Conclusions

Problems

Appendices

References

Optimal Control of Uncertain Linear Networked Control Systems in Input–Output Form with Disturbance Inputs

Traditional Two-Player Zero-Sum Game Design and Game-Theoretic Riccati Equation-Based Solution

Infinite-Horizon Optimal Adaptive Design

Conclusions

Problems

Appendices

References

Optimal Control of Uncertain Nonlinear Networked Control Systems via Neuro Dynamic Programming

Traditional Nonlinear Optimal Control Design and HJB Equation-Based Solution

Finite-Horizon Optimal Control for NNCS

Extensions to Infinite Horizon

Conclusions

Problems

References

Optimal Design for Nonlinear Two-Player Zero-Sum Games under Communication Constraints

Traditional Stochastic Optimal Control Design for Two-Player Zero-Sum Game

NNCS Two-Player Zero-Sum Game

Finite-Horizon Optimal Adaptive Design

Simulation Results

Conclusions

Problems

Appendices

References

Distributed Joint Optimal Network Scheduling and Controller Design for Wireless Networked Control Systems

Background of Wireless Networked Control Systems

Wireless Networked Control Systems Codesign

Conclusions

Problems

References

Event-Sampled Distributed Networked Control Systems

Distributed Networked Control Systems

Optimal Adaptive Event-Sampled Control

Simulation

Conclusions

Problems

References

Optimal Control of Uncertain Linear Control Systems under a Unified Communication Protocol

Optimal Control Design under Unified Communication Protocol Framework

Closed-Loop System Stability

Simulation Results

Conclusions

Problems

Appendices

References

About the Authors

Jagannathan Sarangapani (referred to as S. Jagannathan) is a Rutledge-Emerson endowed chair professor of electrical and computer engineering and the site director for the National Science Foundation Industry/University Cooperative Research Center on Intelligent Maintenance Systems at the Missouri University of Science and Technology, Rolla, USA (former University of Missouri-Rolla, USA). Widely published and highly decorated with 20 US patents, he is a fellow of the Institute of Measurement and Control, UK, and the Institution of Engineering and Technology, UK. He has been on the organizing committees of several IEEE conferences, and served as the IEEE Control Systems Society Intelligent Control Technical Committee chair.

Hao Xu earned his master’s degree in electrical engineering from Southeast University, Nanjing, China, in 2009, and his Ph.D from the Missouri University of Science and Technology, Rolla, USA (formerly, the University of Missouri-Rolla, USA), in 2012. Currently, he is an assistant professor in the College of Science and Engineering and the director of the Unmanned Systems Research Laboratory at Texas A&M University–Corpus Christi, USA. His research interests include autonomous unmanned aircraft systems, multi-agent systems, wireless passive sensor networks, localization, detection, networked control systems, cyber-physical systems, distributed network protocol design, optimal control, and adaptive control.

About the Series

Automation and Control Engineering

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Subject Categories

BISAC Subject Codes/Headings:
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General
TEC008010
TECHNOLOGY & ENGINEERING / Electronics / Circuits / General