Optimal control for stochastic singular integro-differential Takagi-Sugeno fuzzy system using ant colony programming | Zendy

N. Kumaresan | Zendy

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Optimal control for stochastic singular integro-differential Takagi-Sugeno fuzzy system using ant colony programming

Author(s) -

N. Kumaresan

Publication year - 2012

Publication title -

filomat

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.449

H-Index - 34

eISSN - 2406-0933

pISSN - 0354-5180

DOI - 10.2298/fil1203415k

Subject(s) - mathematics , ant colony optimization algorithms , mathematical optimization , optimal control , differential (mechanical device) , control theory (sociology) , fuzzy logic , dynamic programming , algebraic equation , differential equation , control (management) , nonlinear system , computer science , mathematical analysis , artificial intelligence , engineering , aerospace engineering , physics , quantum mechanics

In this paper, optimal control for stochastic singular integro-differential Takagi-Sugeno (T-S) fuzzy system with quadratic performance is obtained using ant colony programming (ACP). To obtain the optimal control, the solution of MRDE is computed by solving differential algebraic equation (DAE) using a novel and nontraditional ACP approach. The obtained solution in this method is equivalent or very close to the exact solution of the problem. An illustrative numerical example is presented for the proposed method.

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