Nonlinear control and filtering for stochastic networked systems

Description

"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"-- Abstract: "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"--  Read more... Content: Introduction -- Robust H1 Sliding Mode Control for Nonlinear Stochastic Systems with Multiple Data Packet Losses -- Sliding Mode Control for a Class of Nonlinear Discrete-Time -- Sliding Mode Control for Nonlinear Networked Systems with Stochastic Communication Delays -- Reliable H1 Control for A Class of Nonlinear Time-Varying Stochastic Systems with Randomly Occurring Sensor Failures -- Event-Triggered Mean Square Consensus Control for Time-Varying Stochastic Multi-Agent System with Sensor Saturations -- Mean-Square H1 Consensus Control for A Class of Nonlinear Time-Varying Stochastic Multi-Agent Systems: The Finite-Horizon Case -- Consensus Control for Nonlinear Multi-Agent Systems Subject to Deception Attacks -- Distributed Event-Based Set-Membership Filtering for A Class of Nonlinear Systems with Sensor Saturations over Sensor Networks -- Variance-Constrained Distributed Filtering for Time-varying Systems with Multiplicative Noises and Deception Attacks over Sensor Networks