State estimation via Markov switching-channel network and application to suspension systems

	State estimation via Markov switching-channel network and application to suspension systems
	Yin, X. Y.; L. X. Zhang; Z. P. Ning; D. P. Tian; A. Alsaedi and B. Ahmad
	2017
发表期刊	Iet Control Theory and Applications
卷号	11 期号:3
摘要	The problem of H-infinity estimation for a class of networked non-linear systems is investigated. A practical scenario with multiple switching communication channels coexisting in the network is considered. System signals are exchanged over the multiple communication channels and each channel is subject to the two main transmission imperfections, network-induced time-varying delays and packet dropouts. The channel switching is assumed to be governed by a continuous-time Markov process, and a Markov jump non-linear system model is exploited to represent the overall networked system. Linear estimators are designed such that the underlying estimation error system is stochastically stable and the disturbance rejection attenuation satisfies an H-infinity performance bound. As a case study, a state estimation problem for an intelligent active suspension system is addressed to verify the theoretical findings.
收录类别	sci ; ei
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59395
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yin, X. Y.,L. X. Zhang,Z. P. Ning,et al. State estimation via Markov switching-channel network and application to suspension systems[J]. Iet Control Theory and Applications,2017,11(3).
APA	Yin, X. Y.,L. X. Zhang,Z. P. Ning,D. P. Tian,&A. Alsaedi and B. Ahmad.(2017).State estimation via Markov switching-channel network and application to suspension systems.Iet Control Theory and Applications,11(3).
MLA	Yin, X. Y.,et al."State estimation via Markov switching-channel network and application to suspension systems".Iet Control Theory and Applications 11.3(2017).

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