Reliable control for a class of nonlinear time-varying stochastic systems with randomly occurring sensor failures
Lifeng Ma,
Yuming Bo,
Xiaohui Liu and
Zhi Guo
International Journal of Systems Science, 2014, vol. 45, issue 7, 1383-1392
Abstract:
This paper is concerned with the reliable H∞${\mathcal {H}}_\infty$ control problem for a class of nonlinear stochastic systems subject to possible sensor failures. The sensor failures are assumed to happen in a random way, namely, randomly occurring sensor failures (ROSF), and the failure probability is governed by a random variable obeying the Bernoulli distribution. The stochastic nonlinearities described by statistical means could cover several types of well-studied stochastic nonlinearities. The purpose of this problem is to design an output feedback controller such that the closed-loop system meets the desired H∞${\mathcal {H}}_\infty$ performance over a finite horizon. Sufficient condition for the existence of the desired controller is given, where the feedback gains at each time point k can be obtained by solving certain convex optimisation problems iteratively. A numerical computing algorithm is presented, and then a simulation example is given to illustrate the effectiveness and applicability of the proposed algorithm.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2013.859331 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:45:y:2014:i:7:p:1383-1392
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721.2013.859331
Access Statistics for this article
International Journal of Systems Science is currently edited by Visakan Kadirkamanathan
More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().