内容简介：

　　本书聚焦该领域的基本问题，包括各种时滞系统的稳定性分析、镇定、控制器设计、滤波等。作者提出了一种全新的自由权矩阵方法，该方法较之其它方法的有效性和优势将从理论上给予证明并用各种例子加以说明。本书基于作者的最新成果，全面而系统地向读者论述用自由权矩阵研究时滞系统的方法。

　　本书可供自动控制及相关领域的广大工程技术人员和科研工作者自学与参考使用。

英文目录：

1. Introduction
　　1.1 Review of Stability Analysis for Time-Delay Systems
　　1.2 Introduction to FWMs
　　1.3 Outline of This Book
　　References
2. Preliminaries
　　2.1 Lyapunov Stability and Basic Theorems
　　　　2.1.1 Types of Stability
　　　　2.1.2 Lyapunov Stability Theorems
　　2.2 Stability of Time-Delay Systems
　　　　2.2.1 Stability-Related Topics
　　　　2.2.2 Lyapunov-Krasovskii Stability Theorem
　　　　2.2.3 Razumikhin Stability Theorem
　　2.3 H_∞ Norm
　　　　2.3.1 Norm
　　　　2.3.2 H_∞ Norm
　　2.4 H_∞ Control
　　2.5 LMI Method
　　　　2.5.1 Common Specifications of LMIs
　　　　2.5.2 Standard LMI Problems
　　2.6 Lemmas
　　2.7 Conclusion
　　References
3. Stability of Systems with Time-Varying Delay
　　3.1 Problem Formulation
　　3.2 Stability of Nominal System
　　　　3.2.1 Replacing the Term x(t)
　　　　3.2.2 Retaining the Term x(t)
　　　　3.2.3 Equivalence Analysis
　　3.3 Stability of Systems with Time-Varying Structured Uncertainties
　　　　3.3.1 Robust Stability Analysis
　　　　3.3.2 Numerical Example
　　3.4 Stability of Systems with Polytopic-Type Uncertainties
　　　　3.4.1 Robust Stability Analysis
　　　　3.4.2 Numerical Example
　　3.5 IFWM Approach
　　　　3.5.1 Retaining Useful Terms
　　　　3.5.2 Further Investigation
　　　　3.5.3 Numerical Examples
　　3.6 Conclusion
　　References
4. Stability of Systems with Multiple Delays
　　4.1 Problem Formulation
　　4.2 Two Delays
　　　　4.2.1 Nominal Systems
　　　　4.2.2 Equivalence Analysis
　　　　4.2.3 Systems with Time-Varying Structured Uncertainties
　　　　4.2.4 Numerical Examples
　　4.3 Multiple Delays
　　4.4 Conclusion
　　References
5. Stability of Neutral Systems
　　5.1 Neutral Systems with Time-Varying Discrete Delay
　　　　5.1.1 Problem Formulation
　　　　5.1.2 Nominal Systems
　　　　5.1.3 Systems with Time-Varying Structured Uncertainties
　　　　5.1.4 Numerical Example
　　5.2 Neutral Systems with Identical Discrete and Neutral Delays
　　　　5.2.1 FWM Approach
　　　　5.2.2 FWM Approach in Combination with Parameterized Model Transformation
　　　　5.2.3 FWM Approach in Combination with Augmented Lyapunov-Krasovskii Functional
　　　　5.2.4 Numerical Examples
　　5.3 Neutral Systems with Different Discrete and Neutral Delays
　　　　5.3.1 Nominal Systems
　　　　5.3.2 Equivalence Analysis
　　　　5.3.3 Systems with Time-Varying Structured Uncertainties
　　　　5.3.4 Numerical Example
　　5.4 Conclusion
　　References
6. Stabilization of Systems with Time-Varying Delay
　　6.1 Problem Formulation
　　6.2 Iterative Nonlinear Minimization Algorithm
　　6.3 Parameter-Tuning Method
　　6.4 Completely LMI-Based Design Method
　　6.5 Numerical Example
　　6.6 Conclusion
　　References
7. Stability and Stabilization of Discrete-Time Systems with Time-Varying Delay
　　7.1 Problem Formulation
　　7.2 Stability Analysis
　　7.3 Controller Design
　　　　7.3.1 SOF Controller
　　　　7.3.2 DOF Controller
　　7.4 Numerical Examples
　　7.5 Conclusion
　　References
8. H_∞ Control Design for Systems with Time-Varying Delay
　　8.1 Problem Formulation
　　8.2 BRL
　　8.3 Design of State-Feedback H_∞ Controller
　　8.4 Numerical Examples
　　8.5 Conclusion
　　References
9. H_∞ Filter Design for Systems with Time-Varying Delay
　　9.1 H_∞ Filter Design for Continuous-Time Systems
　　　　9.1.1 Problem Formulation
　　　　9.1.2 H_∞ Performance Analysis
　　　　9.1.3 Design of H_∞ Filter
　　　　9.1.4 Numerical Examples
　　9.2 H_∞ Filter Design for Discrete-Time Systems
　　　　9.2.1 Problem Formulation
　　　　9.2.2 H_∞ Performance Analysis
　　　　9.2.3 Design of H_∞ Filter
　　　　9.2.4 Numerical Example
　　9.3 Conclusion
　　References
10. Stability of Neural Networks with Time-Varying Delay
　　10.1 Stability of Neural Networks with Multiple Delays
　　　　10.1.1 Problem Formulation
　　　　10.1.2 Stability Criteria
　　　　10.1.3 Numerical Examples
　　10.2 Stability of Neural Networks with Interval Delay
　　　　10.2.1 Problem Formulation
　　　　10.2.2 Stability Criteria
　　　　10.2.3 Numerical Examples
　　10.3 Exponential Stability of Continuous-Time Neural Networks
　　　　10.3.1 Problem Formulation
　　　　10.3.2 Stability Criteria Derived by FWM Approach
　　　　10.3.3 Stability Criteria Derived by IFWM Approach
　　　　10.3.4 Numerical Examples
　　10.4 Exponential Stability of Discrete-Time Recurrent Neural Networks
　　　　10.4.1 Problem Formulation
　　　　10.4.2 Stability Criterion Derived by IFWM Approach
　　　　10.4.3 Numerical Examples
　　10.5 Conclusion
　　References
11. Stability of T-S Fuzzy Systems with Time-Varying Delay
　　11.1 Problem Formulation
　　11.2 Stability Analysis
　　11.3 Numerical Examples
　　11.4 Conclusion
　　References
12. Stability and Stabilization of NCSs
　　12.1 Modeling of NCSs with Network-Induced Delay
　　12.2 Stability Analysis
　　12.3 Controller Design
　　12.4 Numerical Examples
　　12.5 Conclusion
　　References
13. Stability of Stochastic Systems with Time-Varying Delay
　　13.1 Robust Stability of Uncertain Stochastic Systems
　　　　13.1.1 Problem Formulation
　　　　13.1.2 Robust Stability Analysis
　　　　13.1.3 Numerical Example
　　13.2 Exponential Stability of Stochastic Markovian Jump Systems with Nonlinearities
　　　　13.2.1 Problem Formulation
　　　　13.2.2 Exponential-Stability Analysis
　　　　13.2.3 Numerical Example
　　13.3 Conclusion
　　References
14. Stability of Nonlinear Time-Delay Systems
　　14.1 Absolute Stability of Nonlinear Systems with Delay and Multiple Nonlinearities
　　　　14.1.1 Problem Formulation
　　　　14.1.2 Nominal Systems
　　　　14.1.3 Systems with Time-Varying Structured Uncertainties
　　　　14.1.4 Numerical Examples
　　14.2 Absolute Stability of Nonlinear Systems with Time-Varying Delay
　　　　14.2.1 Problem Formulation
　　　　14.2.2 Nominal Systems
　　　　14.2.3 Systems with Time-Varying Structured Uncertainties
　　　　14.2.4 Numerical Example
　　14.3 Stability of Systems with Interval Delay and Nonlinear Perturbations
　　　　14.3.1 Problem Formulation
　　　　14.3.2 Stability Results
　　　　14.3.3 Further Results Obtained with Augmented Lyapunov-Krasovskii Functional
　　　　14.3.4 Numerical Examples
　　14.4 Conclusion
　　References
Index