Fuzzy optimal control.

Abstract

In this thesis a systematic scheme is proposed to design fuzzy optimal controllers. The proposed scheme adjusts the parameters of the fuzzy controller using a gradient descent scheme in order to optimize a chosen performance criterion. The optimization is carried out employing a gradient descent method. The gradient computation is performed using the BPD (Block Partial Derivative) technique. Simulation studies are reported for thypical servo and regulator problems.