Advances in fuzzy adaptive control
β Scribed by A.O. Esogbue; J.A. Murrell
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 709 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The performance of two fuzzy relational controllers namely the self-learning predictive fuzzy controller (SLPFC) (Bourke and Fisher, Proc. 5th Int. Conf. on Fuzzy Systems, New Orleans, 1996, pp. 464 -1470) and the fuzzy relational long range predictive controller (FRLRPC) (Postlethwaite, IEE Proc. D
A methodology for the reduction of complexity of the fuzzy if-then rules for a robust controller system is presented. An analysis of the fuzzy if-then rules is performed by viewing the fuzzy sets in the rules as crisp sets. The knowledge of the analysis is used to reduce the number of variables and
Intelligent systems may be viewed as a framework for solving the problems of nonlinear system control. The intelligence of the system in the nonlinear or changing environment is used to recognize in which environment the system currently resides and to service it appropriately. This paper presents a
In order to achieve the goal of fully automated manufacturing systems, novel techniques and tools in many aspects of manufacturing, including scheduling and control, need to be developed. These novel techniques can be recognised by their capabilities to adapt to complex situations, which conventiona