Stochastic Networked Control Systems

From the reviews: "Explains the mathematics useful for the description of those systems, when imbedded in a mathematical framework of discrete time, and elements which take their values either in discrete or in Euclidean spaces ... . The reviewer sees two uses for the book. It could be a valuable information source for someone interested in an overall picture of the subject ... . other use would be for a reading course by a courageous student willing to reconstruct part of the material." (A. F. Gualtierotti, Mathematical Reviews, March, 2014)

• Introduction.- Part I Information Structures in Networked Control.- Networked Control Systems as Stochastic Team Decision Problems: A General Introduction.- Characterization and Comparison of Information Structures.- Topological Properties of Information Structures: Comparison, Convergence and Optimization.- Part II Stabilization of Networked Control Systems.- Coding for Control and Connections with Information Theory.- Stochastic Stability and Drift Criteria for Markov Chains in Networked Control.- Stochastic Stabilization over Noiseless Channels.- Stochastic Stabilization over Noisy Channels.- Stabilization of Decentralized Systems over Communication Channels.- Part III Optimization in Networked Control: Design of Optimal Policies under Information Constraints.- Optimization of Real-Time Coding and Control Policies: Structural and Existence Results.- Optimal Coding and Control for Linear Gaussian Systems over Gaussian Channels under Quadratic Cost.- Agreement in Teams and the Dynamic Programming Approach under Information Constraints.- A Topological Notions and Optimization.- B Probability Theory and Stochastic Processes.- C Markov Chains, Martingales and Ergodic Processes.- D Markov Decision Theory and Optimality of Markov Policies.- References.- Index.