| 书目名称 | Chemical Optimization Algorithm for Fuzzy Controller Design |
| 编辑 | Leslie Astudillo,Patricia Melin,Oscar Castillo |
| 视频video | http://file.papertrans.cn/225/224380/224380.mp4 |
| 概述 | Presents a Chemical Optimization Algorithm for Fuzzy Controller Design.The novel algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performa |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions..This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.. |
| 出版日期 | Book 2014 |
| 关键词 | Chemical Optimization Algorithm; Fuzzy Controller Design; Optimization Method; Torque Controller; Unicyc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-05245-8 |
| isbn_softcover | 978-3-319-05244-1 |
| isbn_ebook | 978-3-319-05245-8Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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