Adaptive Critic Based Approximate Dynamic Programming for Tuning Fuzzy Controllers
IEEE International Conference on Fuzzy Systems
In this paper we show the applicability of the Dual Heuristic Programming (DHP) method of Approximate Dynamic Programming to parameter tuning of a fuzzy control system. DHP and related techniques have been developed in the neurocontrol context but can be equally productive when used with fuzzy controllers or neuro-fuzzy hybrids. We demonstrate this technique on a highly nonlinear 2nd order plant proposed by Sanner and Slotine. Throughout our example application, we take advantage of the TS model framework to initialize our tunable parameters with reasonable problem specific values, a practice difficult to perform when applying DHP to neurocontrol.
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Shannon, T. T., & Lendaris, G. G. (2000, May). Adaptive critic based approximate dynamic programming for tuning fuzzy controllers. In Ninth IEEE International Conference on Fuzzy Systems. FUZZ-IEEE 2000 (Cat. No. 00CH37063) (Vol. 1, pp. 25-29). IEEE.