Linguistic Adaptive Critics for tuning fuzzy controllers

In this paper we demonstrate the use of Linguistic Adaptive Critics (LACs) for the design of fuzzy control systems. This technique is related to Adaptive Critic based Approximate Dynamic Programming as developed and applied in the neurocontrol context. We have previously shown how such techniques can be conveniently generalized to fuzzy controllers or neuro-fuzzy hybrids. We demonstrate LACs by designing a temperature controller for a simple water bath system.