| 书目名称 | Fuzzy Model Identification |
| 副标题 | Selected Approaches |
| 编辑 | Hans Hellendoorn,Dimiter Driankov |
| 视频video | |
| 图书封面 |  |
| 描述 | During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and model-based design. The main motivation for the heuristics-based design is given by the fact that many industrial processes are still controlled in one of the following two ways: - The process is controlled manually by an experienced operator. - The process is controlled by an automatic control system which needs manual, on-line ‘trimming‘ of its parameters by an experienced operator. In both cases it is enough to translate in terms of a set of fuzzy if-then rules the operator‘s manual control algorithm or manual on-line ‘trimming‘ strategy in order to obtain an equally good, or even better, wholly automatic fuzzy control system. This implies that the design of a fuzzy controller can only be done after a manual control algorithm or trimming strategy exists. It is admitted in the literature on fuzzy control that the heuristics-based approach to the design of fuzzy controllers is very difficult to apply to multiple-inputjmultiple-output control problems which represent the largest part of challenging industrial process control applications. Furth |
| 出版日期 | Book 1997 |
| 关键词 | algorithms; artificial intelligence; control; control engineering; genetic algorithms; intelligence; learn |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-60767-7 |
| isbn_softcover | 978-3-540-62721-0 |
| isbn_ebook | 978-3-642-60767-7 |
| copyright | Springer-Verlag Berlin Heidelberg 1997 |
发表于 2025-3-21 18:37:22
