Model-Reference Adaptive Control using Associate Memory Network
نویسندگان
چکیده
Model-reference adaptive control with neurofuzzy methodology is derived in this paper. Associate memory network(AMN) is investigated in detail to be the possible implementation as the direct self-tuning nonlinear controller. The essence of the neurofuzzy controller has been discussed and the local stability of the system is reached. The performance of the model-reference adaptive neurofuzzy controller is illustrated by examples involving both linear and nonlinear systems. Copyright2002IFAC
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ورودعنوان ژورنال:
- Control and Intelligent Systems
دوره 32 شماره
صفحات -
تاریخ انتشار 2004