Includes bibliographical references and index.

Title Page; Copyright; Dedication; Preface; Acknowledgments; List of Abbreviations; List of Notations; Chapter 1: Introduction; 1.1 Background, Motivations, and Research Problems; 1.2 Outline; Chapter 2: Variance-Constrained Finite-Horizon Filtering and Control with Saturations; 2.1 Problem Formulation for Finite-Horizon Filter Design; 2.2 Analysis of H∞ and Covariance Performances; 2.3 Robust Finite-Horizon Filter Design; 2.4 Robust H∞ Finite-Horizon Control with Sensor and Actuator Saturations; 2.5 Illustrative Examples; 2.6 Summary

Chapter 3: Filtering and Control with Stochastic Delays and Missing Measurements3.1 Problem Formulation for Robust Filter Design; 3.2 Robust H∞ Filtering Performance Analysis; 3.3 Robust H∞ Filter Design; 3.4 Robust H∞ Fuzzy Control; 3.5 Illustrative Examples; 3.6 Summary; Chapter 4: Filtering and Control for Systems with Repeated Scalar Nonlinearities; 4.1 Problem Formulation for Filter Design; 4.2 Filtering Performance Analysis; 4.3 Filter Design; 4.4 Observer-Based H∞ Control with Multiple Packet Losses; 4.5 Illustrative Examples; 4.6 Summary

Chapter 5: Filtering and Fault Detection for Markov Systems with Varying Nonlinearities5.1 Problem Formulation for Robust H∞ Filter Design; 5.2 Performance Analysis of Robust H∞ Filter; 5.3 Design of Robust H∞ Filters; 5.4 Fault Detection with Sensor Saturations and Randomly Varying Nonlinearities; 5.5 Illustrative Examples; 5.6 Summary; Chapter 6: Quantized Fault Detection with Mixed Time-Delays and Packet Dropouts; 6.1 Problem Formulation for Fault Detection Filter Design; 6.2 Main Results; 6.3 Fuzzy-Model-Based Robust Fault Detection; 6.4 Illustrative Examples; 6.5 Summary

Chapter 7: Distributed Filtering over Sensor Networks with Saturations7.1 Problem Formulation; 7.2 Main Results; 7.3 An Illustrative Example; 7.4 Summary; Chapter 8: Distributed Filtering with Quantization Errors: The Finite-Horizon Case; 8.1 Problem Formulation; 8.2 Main Results; 8.3 An Illustrative Example; 8.4 Summary; Chapter 9: Distributed Filtering for Markov Jump Nonlinear Time-Delay Systems; 9.1 Problem Formulation; 9.2 Main Results; 9.3 An Illustrative Example; 9.4 Summary; Chapter 10: A New Finite-Horizon Filtering Approach to Mobile Robot Localization

10.1 Mobile Robot Kinematics and Absolute Measurement10.2 A Stochastic H∞ Filter Design; 10.3 Simulation Results; 10.4 Summary; Chapter 11: Conclusions and Future Work; 11.1 Conclusions; 11.2 Contributions; 11.3 Future Work; References; Index

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