In this paper we extend the classical Lyapunov synthesis method to the domain of computing with words. This new approach is used to design fuzzy controllers. Assuming minimal knowledge about the plant to be controlled, the proposed method enables us to systematically derive the fuzzy rules that cons
Nested design of fuzzy controllers with partial fuzzy rule base
β Scribed by J.S. Taur; C.W. Tao
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 269 KB
- Volume
- 120
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
In this paper, a systematic nested design approach with a partial fuzzy if-then rule base is proposed to reduce the complexity of the fuzzy controllers. In the design procedure, the fuzzy controller is ΓΏrst constructed with a basic fuzzy rule base. When the fuzzy rule base is not su cient to provide the performance that meets the requirement of the fuzzy control system, the fuzzy rule base contains some unsatisfactory fuzzy rules and needs to be adjusted. After the unsatisfactory fuzzy rules are identiΓΏed, the fuzzy region controlled by each unsatisfactory fuzzy rule is further partitioned into sub-regions. Based on the nested design procedure, the partial fuzzy rule base of the fuzzy controller is modiΓΏed by replacing each unsatisfactory fuzzy rule with new fuzzy rules for the corresponding sub-regions. Each fuzzy region of the input space can be partitioned independently into fuzzy sub-regions to avoid generating the redundant rules. The parameters in the fuzzy mechanism are tuned by minimizing a cost function. Simulations are carried out to show the e ectiveness of the fuzzy controllers with nested fuzzy if-then rules.
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