Stochastic Networked Control Systems Stabilization and Optimization under Information Constraints

Stochastic Networked Control Systems Stabilization and Optimization under Information Constraints / by Serdar Yüksel, Tamer Başar.

Networked control systems are increasingly ubiquitous today, with applications ranging from vehicle communication and adaptive power grids to space exploration and economics. The optimal design of such systems presents major challenges, requiring tools from various disciplines within applied mathema...

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Bibliographic Details
Main Authors: Yüksel, Serdar (Author), Başar, Tamer (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Birkhäuser, 2013.
Edition:1st ed. 2013.
Series:Systems & Control: Foundations & Applications,
Springer eBook Collection.
Subjects:
Information theory.
Computer organization.
System theory.
Electrical engineering.
Computers.
Mathematical optimization.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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