Neural fuzzy control systems with structure and parameter learning
โ Scribed by Spyros Tzafestas
- Publisher
- Springer Netherlands
- Year
- 1996
- Tongue
- English
- Weight
- 74 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0921-0296
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## Abstract In this paper, we study the design of iterative learning controllers for nonaffine nonlinear interconnected systems with repeatable control tasks. The interaction between each subsystem can be a general type of unknown nonlinear function if a bounding condition is satisfied. An error mo
hi this paper, we consider a class of optimal control problems in which certain parameters in the system dynamic and the objective functional are fuzzy. It is assumed that each of these fuzzy parameters can be estimated to lie in some fixed interval. The aim of the paper is to devise a computation