الفهرس 
INTRODUCTION
TABLE I: SYSTEM DATAOnly 14 pages are availabe for public view
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Abstract
This thesis develops an algorithm for designing an adaptive fuzzy logic controller based on sliding mode concept for a class of nonlinear dynamic systems for which the plant nonlinearities is either unknown or impossible. The motivation behind this scheme is to combine the best features of fuzzy control and sliding mode to achieve rapid and accurate tracking control. The chatter encountered by most sliding mode control schemes is greatly alleviated without sacrificing invariant properties. Fuzzy tuning schemes are employed to improve control performance and to alleviate chattering in the sliding mode. It is first shown that the fuzzy system with the system representative point (RP) and its derivative in variable structure control (VSC) theory as inputs can approximate unknown nonlinear dynamics in the neighborhood of the switching hyperplane. Then a new method for designing an adaptive fuzzy control system based on sliding mode is proposed for the trajectory tracking control. In this case, the fuzzy controller acts as a compensator to refine system performance. To verify the scheme, this method is applied numerically to regulate the errors in the loadfrequency control problem of an interconnected two area power generation systems connected together via a single transmission line. The results show that both alleviation of chatter and robust performance are achieved. Global asymptotic stability of the algorithm is established in the Lyapunov sense, the tracking errors converging to a neighborhood of zero.