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 journal › peer-review
Author(s)
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Detail(s)
Original language | English |
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Pages (from-to) | 1170-1177 |
Journal / Publication | IEEE Transactions on Automatic Control |
Volume | 64 |
Issue number | 3 |
Online published | 21 May 2018 |
Publication status | Published - Mar 2019 |
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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
Citation Format(s)
Power Gain Bounds of MIMO Networked Control Systems : An Entropy Perspective. / Fang, Song; Chen, Jie; Ishii, Hideaki.
In: IEEE Transactions on Automatic Control, Vol. 64, No. 3, 03.2019, p. 1170-1177.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review