This article presents a new method for learning and tuning a fuzzy logic controller automatically. A reinforcement learning and a genetic algorithm are used in conjunction with a multilayer neural network model of a fuzzy logic controller, which can automatically generate the fuzzy control rules and
โฆ LIBER โฆ
Comparison study between a fuzzy logic stabiliser and a self-tuning stabiliser
โ Scribed by C.M. Lim; T. Hiyama
- Book ID
- 104185396
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 1014 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0166-3615
No coin nor oath required. For personal study only.
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