Fuzzy controllers for a class of discrete-time nonlinear systems
作者:Hugang Han, Akira Ikuta
摘要
In consideration of system stability, two fuzzy controllers for a class of discrete-time nonlinear systems are proposed. When the knowledge on the control process is available, a fuzzy controller will maintain it as much as possible. In the other case where such knowledge is unavailable, another fuzzy controller can be used where the fuzzy rules are viewed as approximators to deal with some unknown parts in the system to be controlled. Computer simulations are provided to illustrate the effectiveness of the fuzzy controllers proposed in this paper.
论文关键词:Fuzzy rules, System stability, Discrete-time control, Adaptive controller, Lyapunov function
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10462-008-9086-1