Optimal Fuzzy Control
Kazuo A. TANAKA, Hua O. Wang · 2001
In this chapter, the authors propose an alternative approach to nonlinear optimal control based on fuzzy logic. The optimal fuzzy control methodology presented in this chapter is based on a quadratic performance function utilizing the relaxed stability conditions. The optimal fuzzy controller is designed by solving a minimization problem that minimizes the upper bound of a given quadratic performance function. In a strict sense, this approach is a suboptimal design. One of the advantages of this methodology is that the design conditions are represented in terms of LMIs.