Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays

In this study, a multiobjective nonfragile control is proposed for a class of stochastic Takagi and Sugeno (T–S) fuzzy systems with mixed time delays to guarantee the optimal H2 and H∞ performance simultaneously. Firstly, based on the T–S fuzzy model, two form of nonfragile state feedback controller...

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Main Authors: Yang Yang, Jianwei Xia, Jianli Zhao, Xiaodi Li, Zhen Wang
Format: Article
Language:English
Published: Vilnius University Press 2019-09-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.journals.vu.lt/nonlinear-analysis/article/view/14506
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author Yang Yang
Jianwei Xia
Jianli Zhao
Xiaodi Li
Zhen Wang
author_facet Yang Yang
Jianwei Xia
Jianli Zhao
Xiaodi Li
Zhen Wang
author_sort Yang Yang
collection DOAJ
description In this study, a multiobjective nonfragile control is proposed for a class of stochastic Takagi and Sugeno (T–S) fuzzy systems with mixed time delays to guarantee the optimal H2 and H∞ performance simultaneously. Firstly, based on the T–S fuzzy model, two form of nonfragile state feedback controllers are designed to stabilize the T–S fuzzy system, that is to say, nonfragile state feedback controllers minimize the H2 and H∞ performance simultaneously. Then, by applying T–S fuzzy approach, the multiobjective H2/H∞ nonfragile fuzzy control problem is transformed into linear matrix inequality (LMI)-constrained multiobjective problem (MOP). In addition, we efficiently solve Pareto optimal solutions for the MOP by employing LMI-based multiobjective evolution algorithm (MOEA). Finally, the validity of this approach is illustrated by a realistic design example.
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spelling doaj.art-1198b228dcf640db8acc4fc8073994452022-12-21T23:38:29ZengVilnius University PressNonlinear Analysis1392-51132335-89632019-09-0124510.15388/NA.2019.5.2Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delaysYang Yang0Jianwei Xia1Jianli Zhao2Xiaodi Li3Zhen Wang4Liaocheng UniversityLiaocheng UniversityLiaocheng UniversityShandong Normal UniversityShandong University of Science and TechnologyIn this study, a multiobjective nonfragile control is proposed for a class of stochastic Takagi and Sugeno (T–S) fuzzy systems with mixed time delays to guarantee the optimal H2 and H∞ performance simultaneously. Firstly, based on the T–S fuzzy model, two form of nonfragile state feedback controllers are designed to stabilize the T–S fuzzy system, that is to say, nonfragile state feedback controllers minimize the H2 and H∞ performance simultaneously. Then, by applying T–S fuzzy approach, the multiobjective H2/H∞ nonfragile fuzzy control problem is transformed into linear matrix inequality (LMI)-constrained multiobjective problem (MOP). In addition, we efficiently solve Pareto optimal solutions for the MOP by employing LMI-based multiobjective evolution algorithm (MOEA). Finally, the validity of this approach is illustrated by a realistic design example.http://www.journals.vu.lt/nonlinear-analysis/article/view/14506multiobjective nonfragile controlmixed time delaysPareto optimal solutionslinear matrix inequality
spellingShingle Yang Yang
Jianwei Xia
Jianli Zhao
Xiaodi Li
Zhen Wang
Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
Nonlinear Analysis
multiobjective nonfragile control
mixed time delays
Pareto optimal solutions
linear matrix inequality
title Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
title_full Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
title_fullStr Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
title_full_unstemmed Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
title_short Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
title_sort multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays
topic multiobjective nonfragile control
mixed time delays
Pareto optimal solutions
linear matrix inequality
url http://www.journals.vu.lt/nonlinear-analysis/article/view/14506
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AT jianlizhao multiobjectivenonfragilefuzzycontrolfornonlinearstochasticfinancialsystemswithmixedtimedelays
AT xiaodili multiobjectivenonfragilefuzzycontrolfornonlinearstochasticfinancialsystemswithmixedtimedelays
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