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Table of Contents
Preface; Acknowledgments; Contents; Acronyms; 1 Introduction; 1.1 Research Background, Motivations, and Research Problems; 1.1.1 Nonlinear Stochastic Systems; 1.1.2 Network-Induced Phenomena; 1.1.3 Nonlinear Filtering and Control; 1.2 Outline; References; 2 Recursive Filtering with Missing Measurements and Quantized Effects; 2.1 Extended Kalman Filtering with Multiple Missing Measurements; 2.1.1 Problem Formulation; 2.1.2 Design of EKF; 2.2 Quantized Filtering with Missing Measurements and Multiplicative Noises; 2.2.1 Problem Formulation; 2.2.2 Design of Quantized Filter
2.3 Illustrative Examples2.4 Summary; References; 3 Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated Noises; 3.1 Recursive Filtering with Random Parameter Matrices; 3.1.1 Problem Formulation; 3.1.2 Design of Filter Gain; 3.2 Gain-Constrained Recursive Filtering with Probabilistic Sensor Delays; 3.2.1 Problem Formulation; 3.2.2 Design of Filter Gain with Gain Constraint; 3.3 Illustrative Examples; 3.4 Summary; References; 4 Probability-Guaranteed Hinfty Finite-Horizon Filtering with Sensor Saturations; 4.1 Problem Formulation; 4.2 Main Results
4.2.1 Hinfty Performance Analysis4.2.2 Computational Algorithm; 4.3 An Illustrative Example; 4.4 Summary; References; 5 Hinfty Sliding Mode Observer Design for Nonlinear Time Delay Systems; 5.1 Problem Formulation; 5.2 Design of SMO; 5.2.1 Reachability Analysis; 5.2.2 Performance Analysis of the Sliding Motion; 5.2.3 Computational Algorithm; 5.3 An Illustrative Example; 5.4 Summary; References; 6 Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities; 6.1 Robust SMC for Time Delay Systems with Randomly Occurring Nonlinearities; 6.1.1 Problem Formulation
6.1.2 Design of SMC6.2 Robust Hinfty SMC for Time Delay Systems with Stochastic Nonlinearities; 6.2.1 Problem Formulation; 6.2.2 Sliding Motion Analysis; 6.2.3 Reachability Analysis; 6.3 Illustrative Examples; 6.4 Summary; References; 7 Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time Delays; 7.1 Robust SMC with ROUs, RONs, and Mixed Time Delays; 7.1.1 Problem Formulation; 7.1.2 Design of SMC; 7.2 SMC for Systems with Mixed Time Delays and Markovian Jumping Parameters; 7.2.1 Problem Formulation; 7.2.2 Design of SMC; 7.3 Illustrative Examples; 7.4 Summary
2.3 Illustrative Examples2.4 Summary; References; 3 Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated Noises; 3.1 Recursive Filtering with Random Parameter Matrices; 3.1.1 Problem Formulation; 3.1.2 Design of Filter Gain; 3.2 Gain-Constrained Recursive Filtering with Probabilistic Sensor Delays; 3.2.1 Problem Formulation; 3.2.2 Design of Filter Gain with Gain Constraint; 3.3 Illustrative Examples; 3.4 Summary; References; 4 Probability-Guaranteed Hinfty Finite-Horizon Filtering with Sensor Saturations; 4.1 Problem Formulation; 4.2 Main Results
4.2.1 Hinfty Performance Analysis4.2.2 Computational Algorithm; 4.3 An Illustrative Example; 4.4 Summary; References; 5 Hinfty Sliding Mode Observer Design for Nonlinear Time Delay Systems; 5.1 Problem Formulation; 5.2 Design of SMO; 5.2.1 Reachability Analysis; 5.2.2 Performance Analysis of the Sliding Motion; 5.2.3 Computational Algorithm; 5.3 An Illustrative Example; 5.4 Summary; References; 6 Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities; 6.1 Robust SMC for Time Delay Systems with Randomly Occurring Nonlinearities; 6.1.1 Problem Formulation
6.1.2 Design of SMC6.2 Robust Hinfty SMC for Time Delay Systems with Stochastic Nonlinearities; 6.2.1 Problem Formulation; 6.2.2 Sliding Motion Analysis; 6.2.3 Reachability Analysis; 6.3 Illustrative Examples; 6.4 Summary; References; 7 Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time Delays; 7.1 Robust SMC with ROUs, RONs, and Mixed Time Delays; 7.1.1 Problem Formulation; 7.1.2 Design of SMC; 7.2 SMC for Systems with Mixed Time Delays and Markovian Jumping Parameters; 7.2.1 Problem Formulation; 7.2.2 Design of SMC; 7.3 Illustrative Examples; 7.4 Summary