| 书目名称 | Intelligent Control |
| 副标题 | A Hybrid Approach Ba |
| 编辑 | Nazmul Siddique |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .Intelligent Control. considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller. The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution. A single rule-base is developed by merging the membership functions for change of error of the PD-type controller and sum of error of the PI-type controller. Membership functions are then optimized using evolutionary algorithms. Since the two fuzzy controllers were executed in series, necessary further tuning of the differential and integral scaling factors of the controller is then performed. Neural-network-based tuning for the scaling parameters of the fuzzy controller is then described and finally an evolutionary algorithm is applied to the neurally-tuned-fuzzy controller in which the sigmoidal function shape of the neura |
| 出版日期 | Book 2014 |
| 关键词 | Evolutionary Algorithm; Fuzzy Control; Hybrid Systems; Intelligent Control; Neural Networks |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-02135-5 |
| isbn_softcover | 978-3-319-34348-8 |
| isbn_ebook | 978-3-319-02135-5Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 16:45:30
