Titlebook: Stochastic Networked Control Systems; Stabilization and Op Serdar Yüksel,Tamer Ba?ar Book 2013 Springer Science+Business Media New York 201

證實

Coding for Control and Connections with Information Theoryferences between the real-time communication formulation and the traditional Shannon theoretic setup which allows for large blocks of data (with unbounded block-length) to be encoded and transmitted. This distinction is highlighted in the context of distortion-constrained quantizer design and the ra

似少年

Stochastic Stability and Drift Criteria for Markov Chains in Networked Controlate-dependent stochastic drift criteria are presented together with a class of application areas in networked control systems. Criteria for transience and other forms of stochastic stability are presented.

insidious

Stochastic Stabilization Over Noiseless Channelsems within both fully observed and partially-observed settings are considered, and conditions for stochastic stabilizability are obtained. Using the state-dependent random-time drift criteria introduced in the previous chapter, stabilizing schemes are obtained under information rate constraint on th

Admire

Stochastic Stabilization Over Noisy Channelsnuous-alphabet channels. It is shown that for ergodicity (under additional technical assumptions), Shannon capacity with feedback provides a boundary condition in the space of communication channels for stochastic stabilization of unstable linear systems. For quadratic and finite moment stability, h

無所不知

curettage

ostensible

Optimal Coding and Control for Linear Gaussian Systems Over Gaussian Channels Under Quadratic Costn channels, proving also the existence of optimal solutions. Furthermore, the chapter identifies conditions under which optimal coding and control policies are linear. A large class of network settings where optimal policies are non-linear is identified.

減弱不好

淺灘

Facilities

Characterization and Comparison of Information Structuresare investigated. Expansion of information structures is presented as a general recipe for studying dynamic teams with non-classical information patterns. Witsenhausen’s characterization of information structures is also discussed in this chapter.