Robust $${\cal {H}}_{\infty}$$ Stabilization of Stochastic Hybrid Systems with Wiener Process
E. K. Boukas
Additional contact information
E. K. Boukas: École Polytechnique de Montréal
Journal of Optimization Theory and Applications, 2005, vol. 126, issue 1, No 4, 63-84
Abstract:
Abstract This paper deals with the class of uncertain continuous-time linear stochastic hybrid systems with Wiener process. The uncertainties that we are considering are of the norm-bounded type. The robust $${\cal {H}}_{\infty}$$ stochastic stabilization problem is treated. LMIs based sufficient conditions are developed to design the state feedback controller that robustly and stochastically stabilizes the studied class of systems and at the same time rejects a disturbance of desired level. The minimum disturbance rejection is also determined. A numerical example is provided to show the validity of the proposed results.
Keywords: Stochastic systems; Markovian jumping parameters systems; stabilization; robustness; LMI (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-005-2657-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:joptap:v:126:y:2005:i:1:d:10.1007_s10957-005-2657-2
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-005-2657-2
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().