Self-adaptive fuzzy controller based on an exact fast simulated annealing algorithm

The paper proposes a novel simulated annealing algorithm, which can achieve a satisfactory or optimizing result rapidly. The partly continuous algorithm (PCA) is optimized by the algorithm. The self-adaptive fuzzy controller is made of the two methods to control sophistic plants. The simulation resu...

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Bibliographic Details
Published in10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297) Vol. 1; pp. 529 - 532 vol.1
Main Authors Hu Jing-Song, Zheng Qi Lun, Pan Dan, Peng Hong
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Algorithm design and analysis
Computational modeling
Computer errors
Error correction
Fuzzy control
Fuzzy systems
Mathematical model
Mathematics
Optimization methods
Simulated annealing
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Summary:The paper proposes a novel simulated annealing algorithm, which can achieve a satisfactory or optimizing result rapidly. The partly continuous algorithm (PCA) is optimized by the algorithm. The self-adaptive fuzzy controller is made of the two methods to control sophistic plants. The simulation results illustrate that the self-optimizing controller has fine performances to time-varied nonlinear plants of which mathematics models aren't known.
ISBN:078037293X
9780780372931
DOI:10.1109/FUZZ.2001.1007365