Power Gain Bounds of MIMO Networked Control Systems : An Entropy Perspective

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1170-1177
Journal / PublicationIEEE Transactions on Automatic Control
Volume64
Issue number3
Online published21 May 2018
Publication statusPublished - Mar 2019

Abstract

In this paper we develop performance bounds on disturbance power reduction for multiple-input multiple-output networked feedback systems via an information-theoretic approach. The bounds are derived for control systems with linear time-invariant plants and causal stabilizing controllers communicating over noisy communication channels. We utilize the notion of power gain to measure the worst-case power reduction from the disturbance to the error signal. Concepts from information theory such as entropy and mutual information are instrumental in the analysis, and the performance bounds can be quantified explicitly in terms of the channel blurredness and the plant unstable dynamics.

Research Area(s)

  • disturbance attenuation, entropy, information theory, Performance limitation, power gain, power gain bound