图书信息:

丛 书 名:Engineering Systems and Sustainability Series
书  名:Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities
作  者:Guoliang Wei, Zidong Wang, Wei Qian
出 版 社:CRC Press
出版日期:2016年8月
语  种:英文
I S B N:9781498760744
页  数:250

内容简介:   

  Features:
  • Discusses control and filtering problems for several classes of nonlinear stochastic systems.
  • Includes investigations of stability, robust performance, reliability, and disturbance attenuation.
  • Addresses challenges such as random delays, randomly occurring nonlinearities, time-variant nonlinearities, and more.
  Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for stochastic systems with traditional and emerging engineering-oriented complexities. The book begins with an overview of the relevant background, motivation, and research problems, and then: Discusses the robust stability and stabilization problems for a class of stochastic time-delay interval systems with nonlinear disturbances; Investigates the robust stabilization and H control problems for a class of stochastic time-delay uncertain systems with Markovian switching and nonlinear disturbances;Explores the H state estimator and H output feedback controller design issues for stochastic time-delay systems with nonlinear disturbances, sensor nonlinearities, and Markovian jumping parameters; Analyzes the H performance for a general class of nonlinear stochastic systems with time delays, where the addressed systems are described by general stochastic functional differential equations; Studies the filtering problem for a class of discrete-time stochastic nonlinear time-delay systems with missing measurement and stochastic disturbances; Uses gain-scheduling techniques to tackle the probability-dependent control and filtering problems for time-varying nonlinear systems with incomplete information; Evaluates the filtering problem for a class of discrete-time stochastic nonlinear networked control systems with multiple random communication delays and random packet losses; Examines the filtering problem for a class of nonlinear genetic regulatory networks with state-dependent stochastic disturbances and state delays; Considers the H state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly occurring coupling delays; Addresses the H synchronization control problem for a class of dynamical networks with randomly varying nonlinearities.
  Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities describes novel methodologies that can be applied extensively in lab simulations, field experiments, and real-world engineering practices. Thus, this text provides a valuable reference for researchers and professionals in the signal processing and control engineering communities.

英文目录:
List of Figures
List of TablesList of Tables
Symbols
Series Editor Foreword
Series Editor
Preface
Authors
1 Introduction
  1.1 Background, Motivation, and Research Problem
    1.1.1 Engineering-Oriented Complexities
      1.1.1.1 Traditional Engineering Phenomena
      1.1.1.2 Randomly Occurring Incomplete Information
    1.1.2 Systems with Engineering-Oriented Complexities
    1.1.3 Analysis and Synthesis for Engineering-Oriented Complexities
  1.2 Outline
2 Robust Stabilization for Stochastic Time-Delay Interval Systems
  2.1 Problem Formulation
  2.2 Robust Stability Analysis
  2.3 Delay-Dependent Robust Stabilization
  2.4 An Illustrative Example
  2.5 Summary
3 RobustH∞ Control for Markov Systems with Nonlinear Disturbance
  3.1 Problem Formulation
  3.2 Robust Stabilization
  3.3 H∞ Control
  3.4 An Illustrative Example
  3.5 Summary
4 H∞ Filtering and Control for Markov Systems with Sensor Nonlinearities
  4.1 Problem Formulation
  4.2 H∞ Filtering
    4.2.1 Filter Analysis
    4.2.2 Filter Synthesis
    4.2.3 An Illustrative Example
  4.3 H∞ Dynamical Output Feedback Control
    4.3.1 H∞ Controller Analysis
    4.3.2 Output Feedback H∞ Controller Synthesis
    4.3.3 An Illustrative Example
  4.4 Summary
5 H∞ Analysis for Stochastic Differential Systems by Razumikhin Theory
  5.1 Problem Formulation
  5.2 Main Results
  5.3 The L2 Gain Problem for Nonlinear Stochastic Delay System
  5.4 Examples
  5.5 Summary
6 Robust Filtering with Nonlinearities and Multiple Missing Measurements
  6.1 Problem Formulation
  6.2 Main Results
    6.2.1 Filter Analysis
    6.2.2 Filter Synthesis
    6.2.3 The Solution
  6.3 An Illustrative Example
  6.4 Summary
7 Probability-Dependent Control with Randomly Occurring Nonlinearities
  7.1 Problem Formulation
  7.2 Gain-Scheduled Controller Design
  7.3 Computationally Accessible Solution
  7.4 An Illustrative Example
  7.5 Summary
8 Probability-Dependent Filtering with Missing Measurements
  8.1 Problem Formulation
  8.2 Main Results
    8.2.1 Stability Analysis
    8.2.2 Gain-Scheduled Filter Design
    8.2.3 Solvable Condition for Filter Design
  8.3 An Illustrative Example
  8.4 Summary
9 Controller Design for 2-D Stochastic Nonlinear Roesser Model
  9.1 Problem Formulation and Preliminaries
  9.2 Main Results
  9.3 An Illustrative Example
  9.4 Summary
10 Filtering for Networked Control Systems with Multiple Delays
  10.1 Problem Formulation
  10.2 Main Results
    10.2.1 Filter Analysis
    10.2.2 Filter Synthesis
  10.3 An Illustrative Example
  10.4 Summary
11 State Estimation for Stochastic Delayed Gene Regulatory Networks
  11.1 Problem Formulation
  11.2 Main Results
    11.2.1 State Estimator Analysis
    11.2.2 State Estimator Parameter Design
  11.3 An Illustrative Example
  11.4 Summary
12 State Estimation for Complex Networks with ROCD
  12.1 Problem Formulation
  12.2 Main Results
    12.2.1 Stability Analysis
    12.2.2 H∞ Performance Analysis
    12.2.3 State Estimator Synthesis
  12.3 An Illustrative Example
  12.4 Summary
13 H∞ Synchronization for Complex Networks with RVN
  13.1 Problem Formulation
  13.2 Main Results
    13.2.1 Stability Analysis
    13.2.2 H∞ Synchronization Performance Analysis
    13.2.3 Probability-Dependent Synchronization Controller Design
    13.2.4 Admissible Solution
  13.3 An Illustrative Example
  13.4 Summary
Bibliography
Index


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