Proceedings ArticleDOI
Optimization of fuzzy sets of fuzzy control system based on hierarchical genetic algorithms
Yong Zhou,Dunwei Gong,Xijin Guo +2 more
- Vol. 3, pp 205-205
TLDR
An approach optimizing fuzzy sets based on hierarchical genetic algorithms is proposed in this paper, which optimizes the number and shape of fuzzy sets in fields currently, makes fuzzy sets distribution orderly and reduces the rule's redundancy.Abstract:
Because the number of the fuzzy sets in input and output variable fields directly affects the completeness of fuzzy rules and decides the performance of control system, an approach optimizing fuzzy sets based on hierarchical genetic algorithms is proposed in this paper, which optimizes the number and shape of fuzzy sets in fields currently, makes fuzzy sets distribution orderly and reduces the rule's redundancy. The simulation results of second ordered system show that the approach presented in this paper is effective.read more
Citations
More filters
Journal ArticleDOI
A PSO-based adaptive fuzzy PID-controllers
TL;DR: A novel algorithm is proposed which can decrease the number of evolution generation, and can also evolve the fuzzy system for obtaining a better performance.
Journal ArticleDOI
Numerical simulation for Fuzzy-PID controllers and helping EP reproduction with PSO hybrid algorithm
Juing-Shian Chiou,Ming-Tang Liu +1 more
TL;DR: The proposed algorithm is an improved variant of PSO, a relatively recently introduced stochastic optimization strategy for Fuzzy-PID controllers that is investigated in this study.
Journal ArticleDOI
Using fuzzy logic controller and evolutionary genetic algorithm for automotive active suspension system
J. S. Chiou,M. T. Liu +1 more
TL;DR: In this article, a GA-assisted FLC was proposed for an active automobile suspension system, in which the membership functions and control rules were optimized using a GA algorithm (GA) to strike an optimal balance between the ride comfort and the vehicle stability.
Journal ArticleDOI
On-line temperature control of an oven based on genetic algorithms
TL;DR: In this article, a special feature in selecting the population of the genes is proposed, such that the genetic based algorithms can be modified for on-line applications, and the modified algorithms are applied successfully to control the temperature of an electric oven.
Proceedings ArticleDOI
Predefining Numbers of Fuzzy Sets for Genetically Generated Fuzzy Knowledge Bases Using Clustering Techniques: Application to Tool Wear Monitoring
TL;DR: Two different validation indices as well as a combination of one of these with the multi-objective method are compared to the original multi- objective method on both synthetic and experimental data.
References
More filters
Journal ArticleDOI
An introductory survey of fuzzy control
TL;DR: This paper picks up key points in applying fuzzy control and shows very recent results in industrial applications and points out some interesting and important problems to be solved.