Abstract:
The algorithm of fuzzy control system essentially nonlinear dynamic object is considered in this article. For solving nonlinear optimal control problem is proposed to use the method of linear quadratic regulation (LQR) with fuzzy Takagi-Sugeno model. The algorithm can be used for the design of deterministic optimal control of nonlinear objects. The algorithm of optimal control for controlling the rotational motion of a space vehicle is proposed.
Keywords:
control system, rotational motion of a space vehicle, Takagi-Sugeno model, fuzzy control system.
Citation:
S. N. Chukanov, E. L. Pershina, “Formation of optimal control of nonlinear dynamic object based on takagi-sugeno model”, Computer Research and Modeling, 7:1 (2015), 51–59
\Bibitem{ChuPer15}
\by S.~N.~Chukanov, E.~L.~Pershina
\paper Formation of optimal control of nonlinear dynamic object based on takagi-sugeno model
\jour Computer Research and Modeling
\yr 2015
\vol 7
\issue 1
\pages 51--59
\mathnet{http://mi.mathnet.ru/crm167}
\crossref{https://doi.org/10.20537/2076-7633-2015-7-1-51-59}
Linking options:
https://www.mathnet.ru/eng/crm167
https://www.mathnet.ru/eng/crm/v7/i1/p51
This publication is cited in the following 2 articles:
Miao Yu, Yutong He, Qian Kong, Gengxin Sun, “Research on Pattern Extraction Method of Underwater Acoustic Signal Based on Linear Array”, Mathematical Problems in Engineering, 2022 (2022), 1
Xi Li, Sheng Bin, “Construction of English Translation Model Based on Improved Fuzzy Semantic Optimal Control of GLR Algorithm”, Scientific Programming, 2022 (2022), 1
Citation in format AMSBIB
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