퍼지 신경 회로망을 이용한 혼돈 비선형 시스템의 간접 적응 제어기 설계

The Design of Indirect Adaptive Controller of Chaotic Nonlinear Systems using Fuzzy Neural Networks

In this paper, the design method of fuzzy neural network(FNN) controller using indirect adaptive control technique is presented for controlling chaotic nonlinear systems. Firstly, the fuzzy model identified with a FNN in off-line process. Secondly, the trained fuzzy model tunes adaptively the control rules of the FNN controller in on-line process. In order to evaluate the proposed control method, Indirect adaptive control method is applied to the representative continuous-time chaotic nonlinear systems, that is, the Duffing system and the Lorenz system. Simulations are done to verify the effectivencess of controller.