Global output-feedback stabilization for a class of stochastic non-minimum-phase nonlinear systems

Shu Jun Liu, Zhong Ping Jiang, Ji Feng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, the output-feedback stabilization problem is investigated for the first time for a class of stochastic nonlinear systems whose zero dynamics may be unstable. Under the assumption that the inverse dynamics of the system is stochastic input-to-state stabilizable, a stabilizing output-feedback controller is constructively designed by the integrator backstepping method together with a new reducedorder observer design and the technique of changing supply functions. It is shown that, under small-gain type conditions, the resulting closed-loop system is globally asymptotically stable in the probabilistic sense. The obtained results extend the existing methodology from deterministic systems to stochastic systems.

Original languageEnglish (US)
Title of host publication16th IEEE International Conference on Control Applications, CCA 2007. Part of IEEE Multi-conference on Systems and Control
Pages771-776
Number of pages6
DOIs
StatePublished - 2007
Event16th IEEE International Conference on Control Applications, CCA 2007. Part of IEEE Multi-conference on Systems and Control - , Singapore
Duration: Oct 1 2007Oct 3 2007

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other16th IEEE International Conference on Control Applications, CCA 2007. Part of IEEE Multi-conference on Systems and Control
CountrySingapore
Period10/1/0710/3/07

ASJC Scopus subject areas

  • Engineering(all)

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