Show simple item record

dc.contributor.authorYin, YanYan
dc.contributor.authorLin, Z.
dc.date.accessioned2017-04-28T13:57:53Z
dc.date.available2017-04-28T13:57:53Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2016
dc.identifier.citationYin, Y. and Lin, Z. 2016. Robust stabilization of input constrained uncertain systems with nonhomogeneous Markov switching, pp. 2579-2584.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52207
dc.identifier.doi10.1109/CCDC.2016.7531418
dc.description.abstract

© 2016 IEEE.This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markov jumps. The uncertainties are assumed to be norm bounded and the transition probabilities are time-varying and unknown. By expressing the saturated linear feedback law on a convex hull of a group of auxiliary linear feedback laws and the time-varying transition probabilities inside a polytope, we establish conditions under which the closed-loop system is asymptotically stable. Based on these conditions, the problem of designing the state feedback gains for achieving fast transience response with a guaranteed size of the domain of attraction is formulated and solved as a constrained optimization problem with linear matrix inequality (LMI) constraints. The results are then illustrated by a numerical example.

dc.titleRobust stabilization of input constrained uncertain systems with nonhomogeneous Markov switching
dc.typeConference Paper
dcterms.source.startPage2579
dcterms.source.endPage2584
dcterms.source.titleProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
dcterms.source.seriesProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
dcterms.source.isbn9781467397148
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record