Adaptive Critic Based Approximate Dynamic Programming for Tuning Fuzzy Controllers
Published In
IEEE International Conference on Fuzzy Systems
Document Type
Citation
Publication Date
1-1-2000
Abstract
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.
Locate the Document
https://doi.org/10.1109/FUZZY.2000.838628
DOI
10.1109/FUZZY.2000.838628
Persistent Identifier
https://archives.pdx.edu/ds/psu/37268
Citation Details
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.