Nonlinear control and filtering for stochastic networked systems Introduction Dynamics 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 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