Adaptive Fuzzy Control to Compensate Process Nonlinearities
نویسندگان
چکیده
This paper proposes inverse fuzzy-model-based feed-forward fuzzy controllers to compensate non-linear terms that affect the system dynamics. The gradient-descent algorithm can be used on-line to form adaptive fuzzy controllers. This ability allows these controllers to be used in applications were the knowledge to control the process does not exist or the process is subject to changes in its dynamic characteristics. To demonstrate the feasibility of the method one simulation example is presented. The proposed adaptive fuzzy controllers are applied to the adaptive control of a non-linear plant and are shown to be capable of providing good overall system performance.
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