It has been proved that fuzzy control is a powerful tool to control a complicated system. But, sometimes it has still suffered from collecting fuzzy control rules which is its critical part. In this article, inspired by the control strategy of the conventional PID control, we propose a rule self-gen
A self-generating method for fuzzy system design
β Scribed by Ching-Chang Wong; Shyang-Ming Her
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 673 KB
- Volume
- 103
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
In this paper, a self-generating method based on genetic algorithms is proposed to automatically construct a fuzzy system. A parameter structure of fuzzy system is presented along with a fuzzy set elimination method, which enables the self-generating method not only to determine an appropriate fuzzy system with a high performance but also to favor the selected system with fewer fuzzy rules. An inverted pendulum control and a system modeling problem are utilized respectively to illustrate the efficiency of the proposed method in the fuzzy system design.
π SIMILAR VOLUMES
A systematic method to construct stabilization fuzzy controllers for a single pendulum system and a series-type double pendulum system is presented based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model. The angle and angular velocity of each pendulum and the posi
We present a cascaded genetic algorithm which automatically generates high-performance fuzzy systems with a minimal number of fuzzy sets and rules. Such a tool is especially useful for complex systems which can no longer be designed and optimized manually. The cascade technique is tested on a fuzzy