Optimal control for stochastic linear quadratic singular periodic neuro Takagi–Sugeno (T-S) fuzzy system with singular cost using ant colony programming
نویسندگان
چکیده
منابع مشابه
Optimal control for stochastic linear quadratic singular periodic neuro Takagi–Sugeno (T-S) fuzzy system with singular cost using ant colony programming
Article history: Received 21 December 2009 Received in revised form 27 January 2011 Accepted 2 February 2011 Available online 13 February 2011
متن کاملOptimal control for stochastic linear quadratic singular periodic neuro TakagiヨSugeno (T-S) fuzzy system with singular cost using ant colony programming
In this paper, optimal control for stochastic linear singular periodic neuro Takagi–Sugeno (T–S) fuzzy system with singular cost is obtained using ant colony programming (ACP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using a novel and nontraditional ACP approach. ACP solution is equiv...
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متن کاملOptimal control for stochastic linear quadratic singular Takagi-Sugeno fuzzy system using ant colony programming
In this paper, optimal control for stochastic linear singular Takagi-Sugeno (T-S) fuzzy system with quadratic performance is obtained using ant colony programming (ACP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using ACP approach. The solution of this novel method is compared with the ...
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ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 2011
ISSN: 0307-904X
DOI: 10.1016/j.apm.2011.02.017