과도성능 개선을 위한 강인한 직접 적응 제어기의 설계

Abstract

In this paper, the robust adaptive controller design scheme is studied for nonlinear systems in the presence of bounded disturbances. A new robust adaptive controller is designed using high-order neural networks, which avoids the singularity problem in adaptive nonlinear control. The stability of teh resulting adaptive system with the proposed adaptive controller is guaranteed by suitably choosing the design parameters and initial conditions. In addition, the proposed adaptive controller provides improved tansient performance and fast on-line adaptation. The ability and effectiveness of the proposed adaptive control scheme is shown through simulations of a simple nonlinear system.