Nonlinear Control and Filtering for Stochastic Networked Systems

The book covers control and filtering problems for several classes of stochastic networked systems including stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels within a unified theoretical framework. It derives sufficient conditions for systems to achieve the prescribed design requirements.

1 Introduction 1.1 Nonlinear Stochastic Networked Systems 1.2 Sliding Model Control 1.3 Distributed Filtering 1.4 Cyber Attacks 1.5 Network-Induced Randomly Occurring Phenomena 1.6 Nonlinear Stochastic Multi-Agent Systems 1.7 Consensus of Nonlinear Multi-Agent Systems with Stochastic Dynamics 1.8 Consensus with Stochastic Topologies 1.9 Outline 2 Robust H1 Sliding Mode Control for Nonlinear Stochastic Systems with Multiple Data Packet Losses 2.1 Problem Formulation 2.2 Design of Sliding Model Controllers 2.3 An Illustrative Example 2.4 Summary 3 Sliding Mode Control for a Class of Nonlinear Discrete-Time Networked Systems with Multiple Stochastic Communication Delays 3.1 Problem Formulation 3.2 Design of SMC 3.3 Sliding Mode Controller 3.4 An Illustrative Example 3.5 Summary 4 Sliding Mode Control for Nonlinear Networked Systems with Stochastic Communication Delays 4.1 Problem Formulation 4.2 Design of SMC 4.3 Sliding Mode Controller 4.4 An Illustrative Example 4.5 Summary 5 Reliable H1 Control for A Class of Nonlinear Time-Varying Stochastic Systems with Randomly Occurring Sensor Failures 5.1 Problem Formulation 5.2 H1 Performance 5.3 Controller Design 5.4 Numerical Example 5.5 Summary 6 Event-Triggered Mean Square Consensus Control for Time-Varying Stochastic Multi-Agent System with Sensor Saturations 6.1 Problem Formulation 6.2 Main Results 6.3 Illustrative Example 6.4 Summary 7 Mean-Square H1 Consensus Control for A Class of Nonlinear Time-Varying Stochastic Multi-Agent Systems: The Finite-Horizon Case 7.1 Problem Formulation 7.2 Main Results 7.3 Illustrative Example 7.4 Summary 8 Consensus Control for Nonlinear Multi-Agent Systems Subject to Deception Attacks 8.1 Problem Formulation 8.2 Main Results 8.3 Summary 9 Distributed Event-Based Set-Membership Filtering for A Class of Nonlinear Systems with Sensor Saturations over Sensor Networks 9.1 Problem Formulation 9.2 Distributed Event-Based Set-Membership Filter Design 9.3 An Illustrative Example 9.4 Summary 10 Variance-Constrained Distributed Filtering for Time varying Systems with Multiplicative Noises and Deception Attacks over Sensor Networks 10.1 Problem Formulation 10.2 Distributed Filter Design 10.3 Numerical Example 10.4 Summary 11 Conclusions and Future Topics Bibliography Index