Optimal control for a linear quadratic neuro Takagi--Sugeno fuzzy singular system using genetic programming
نویسندگان
چکیده
منابع مشابه
Optimal control for stochastic linear quadratic singular neuro Takagi-Sugeno fuzzy system with singular cost using genetic programming
In this paper, optimal control for stochastic linear quadratic singular neuro Takagi–Sugeno (T-S) fuzzy system with singular cost is obtained using genetic programming(GP). 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 GP approach. The obtained solution in t...
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Article history: Received 21 December 2009 Received in revised form 27 January 2011 Accepted 2 February 2011 Available online 13 February 2011
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ژورنال
عنوان ژورنال: ANZIAM Journal
سال: 2015
ISSN: 1445-8810
DOI: 10.21914/anziamj.v55i0.7806