Formation of optimal control of nonlinear dynamic object based on takagi-sugeno model

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.