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|Title:||Induced l₂ filtering of fuzzy stochastic systems with time-varying delays|
|Other Titles:||Induced l(2) filtering of fuzzy stochastic systems with time-varying delays|
|Citation:||IEEE Transactions on Cybernetics, 2013; 43(4):1251-1264|
|Xiaojie Su, Peng Shi, Ligang Wu, and Sing Kiong Nguang|
|Abstract:||This paper is concerned with the problem of induced l2 filter design for a class of discrete-time Takagi-Sugeno fuzzy Itô stochastic systems with time-varying delays. Attention is focused on the design of the desired filter to guarantee an induced l2 performance for the filtering error system. A new comparison model is proposed by employing a new approximation for the time-varying delay state, and then, sufficient conditions for the obtained filtering error system are derived by this comparison model. A desired filter is constructed by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms. Finally, simulation examples are provided to illustrate the effectiveness of the proposed approaches.|
|Keywords:||Induced l22 filter design|
scaled small gain (SSG) theorem
Takagi–Sugeno (T-S) fuzzy systems
|Rights:||© 2012 IEEE|
|Appears in Collections:||Aurora harvest|
Electrical and Electronic Engineering publications
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