Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty
This paper discusses the robust passivity and global stabilization problems for a class of uncertain nonlinear stochastic systems with structural uncertainties. A robust version of stochastic Kalman-Yakubovitch-Popov (KYP) lemma is established, which sustains the robust passivity of the system. More...
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2013-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/460348 |
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doaj-215316fcaaf04bc983d1b3fcf0aa44902020-11-24T23:17:52ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/460348460348Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural UncertaintyZhongwei Lin0Jizhen Liu1Yuguang Niu2State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, ChinaThis paper discusses the robust passivity and global stabilization problems for a class of uncertain nonlinear stochastic systems with structural uncertainties. A robust version of stochastic Kalman-Yakubovitch-Popov (KYP) lemma is established, which sustains the robust passivity of the system. Moreover, a robust strongly minimum phase system is defined, based on which the uncertain nonlinear stochastic system can be feedback equivalent to a robust passive system. Following with the robust passivity theory, a global stabilizing control is designed, which guarantees that the closed-loop system is globally asymptotically stable in probability (GASP). A numerical example is presented to illustrate the effectiveness of our results.http://dx.doi.org/10.1155/2013/460348 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhongwei Lin Jizhen Liu Yuguang Niu |
spellingShingle |
Zhongwei Lin Jizhen Liu Yuguang Niu Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty Mathematical Problems in Engineering |
author_facet |
Zhongwei Lin Jizhen Liu Yuguang Niu |
author_sort |
Zhongwei Lin |
title |
Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty |
title_short |
Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty |
title_full |
Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty |
title_fullStr |
Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty |
title_full_unstemmed |
Robust Passivity and Feedback Design for Nonlinear Stochastic Systems with Structural Uncertainty |
title_sort |
robust passivity and feedback design for nonlinear stochastic systems with structural uncertainty |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2013-01-01 |
description |
This paper discusses the robust passivity and global stabilization problems for a class of uncertain nonlinear stochastic systems with structural uncertainties. A robust version of stochastic Kalman-Yakubovitch-Popov (KYP) lemma is established, which sustains the robust passivity of the system. Moreover, a robust strongly minimum phase system is defined, based on which the uncertain nonlinear stochastic system can be feedback equivalent to a robust passive system. Following with the robust passivity theory, a global stabilizing control is designed, which guarantees that the closed-loop system is globally asymptotically stable in probability (GASP). A numerical example is presented to illustrate the effectiveness of our results. |
url |
http://dx.doi.org/10.1155/2013/460348 |
work_keys_str_mv |
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1725582900745732096 |