Analysis of Robust Stability for a Class of Stochastic Systems via Output Feedback : The LMI Approach
Joint Authors
Source
Journal of Function Spaces and Applications
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper investigates the robust stability for a class of stochastic systems with both state and control inputs.
The problem of the robust stability is solved via static output feedback, and we convert the problem to a constrained convex optimization problem involving linear matrix inequality (LMI).
We show how the proposed linear matrix inequality framework can be used to select a quadratic Lyapunov function.
The control laws can be produced by assuming the stability of the systems.
We verify that all controllers can robustly stabilize the corresponding system.
Further, the numerical simulation results verify the theoretical analysis results.
American Psychological Association (APA)
Cong, Xin-rong& Li, Long-suo. 2013. Analysis of Robust Stability for a Class of Stochastic Systems via Output Feedback : The LMI Approach. Journal of Function Spaces and Applications،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-505202
Modern Language Association (MLA)
Cong, Xin-rong& Li, Long-suo. Analysis of Robust Stability for a Class of Stochastic Systems via Output Feedback : The LMI Approach. Journal of Function Spaces and Applications No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-505202
American Medical Association (AMA)
Cong, Xin-rong& Li, Long-suo. Analysis of Robust Stability for a Class of Stochastic Systems via Output Feedback : The LMI Approach. Journal of Function Spaces and Applications. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-505202
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505202