전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제32B권8호
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- Pages.1119-1126
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- 1995
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- 1016-135X(pISSN)
유전알고리듬을 결합한 퍼지-신경망 제어 시스템 설계
On Designing A Fuzzy-Neural Network Control System Combined with Genetic Algorithm
초록
The construction of rule-base for a nonlinear time-varying system, becomes much more complicated because of model uncertainty and parameter variations. Furthemore, FLC does not have an ability of adjusting rule- base in responding to some sudden changes of control environments. To cope with these problems, an auto-tuning method of the fuzzy rule-base is required. In this paper, the GA-based Fuzzy-Neural control system combining Fuzzy-Neural control theory with the genetic algorithm(GA), which is known to be very effective in the optimization problem, will be proposed. The tuning of the proposed system is performed by two tuning processes(the course tuning process and the fine tuning/adaptive learning process). The effectiveness of the proposed control system will be demonstrated by computer simulations using a two degree of freedom robot manipulator.
키워드