NDLI: Optimal control over a lossy communication network based on linear predictive compensation

Content Provider	IET Digital Library
Author	He, Lidong Han, Dongfang Wang, Xiaofan
Abstract	This study investigates the linear quadratic Gaussian state regulation problem over a packet-dropping network. A linear predictive compensation scheme is proposed to counteract the uncontrollable packet loss. To characterise the operating state of the system, differently from the widely used Markov jump linear systems theory or multi-mode Markov chain, in this study the actual control command executed to the plant is expressed as a stochastic sequence. Moreover, the original information set is divided into several subsets, which benefits to establish the quantitative relationship between the infinite-horizon quadratic performance index and the prediction horizon. A numerical example is provided to show that there exists an optimal prediction horizon to minimise the performance index.
Starting Page	2297
Ending Page	2304
Page Count	8
ISSN	17518644
Volume Number	8
e-ISSN	17518652
Issue Number	Issue 18, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/8/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0322
Journal	IET Control Theory & Applications
Publisher Date	2014-10-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Compensation Infinite-horizon Quadratic Performance Index Linear Predictive Compensation Scheme Linear Quadratic Gaussian Control Linear Quadratic Gaussian State Regulation Lossy Communication Network Markov Jump Linear System Theory Markov Processes Multimode Markov Chain Networked Control System Optimal Control Packet-dropping Network Prediction Horizon Predictive Control Stochastic Sequence
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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