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Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints

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Introduction.- Part I Information Structures in Networked Control.- Networked Control Systems as Stochastic Team Decision A General Introduction.- Characterization and Comparison of Information Structures.- Topological Properties of Information 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 Design of Optimal Policies under Information Constraints.- Optimization of Real-Time Coding and Control 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.

502 pages, Paperback

First published June 1, 2013

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