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Formation of optimal control of nonlinear dynamic object based on Takagi–Sugeno model
Computer Research and Modeling, 2015, v. 7, no. 1, pp. 51-59Views (last year): 2.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.
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Motion control of a rigid body in viscous fluid
Computer Research and Modeling, 2013, v. 5, no. 4, pp. 659-675Views (last year): 2. Citations: 1 (RSCI).We consider the optimal motion control problem for a mobile device with an external rigid shell moving along a prescribed trajectory in a viscous fluid. The mobile robot under consideration possesses the property of self-locomotion. Self-locomotion is implemented due to back-and-forth motion of an internal material point. The optimal motion control is based on the Sugeno fuzzy inference system. An approach based on constructing decision trees using the genetic algorithm for structural and parametric synthesis has been proposed to obtain the base of fuzzy rules.
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International Interdisciplinary Conference "Mathematics. Computing. Education"