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Design of a Fuzzy Controller Using the Parallel Architecture of Random Signal-based Learning  

Han, Chang-Wook (동의대학교)
Oh, Se-Jin (한국천문연구원)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.12, no.1, 2011 , pp. 62-66 More about this Journal
Abstract
This paper proposes a parallel architecture of random signal-based learning (PRSL), merged with simulated annealing (SA), to optimize the fuzzy logic controller (FLC). Random signal-based learning (RSL) finds the local optima very well, whereas it can not finds the global optimum in a very complex search space because of its serial nature. To overcome these difficulties, PRSL, which consists of serial RSL as a population, is considered. Moreover, SA is added to RSL to help the exploration. The validity of the proposed algorithm is conformed by applying it to the optimization of a FLC for the inverted pendulum.
Keywords
Fuzzy Controller; Global Optimization; Inverted Pendulum;
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