| 书目名称 | Neural Dynamics for Time-varying Problems | | 副标题 | Advances and Applica | | 编辑 | Long Jin,Lin Wei,Xin Lv | | 视频video | | | 概述 | Explores neural dynamics methods via control theoretical techniques for time-varying problems.Includes theoretical analyses on the models, simulative examples, and physical experiments.Suitable for st | | 图书封面 |  | | 描述 | .This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization are also presented. In this book, we present the design, proposal, development, analysis, modeling, and simulation of various neural dynamic models, along with their respective applications including motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization. Specifically, starting from the top-level considerations of hardware implementation, we integrate computational intelligence methods and control theory to design a series of dynamic and noise-resistant discrete neural dynamic methods. The research work not only owns the theoretical guarantee on its convergence, noise res | | 出版日期 | Book 2025 | | 关键词 | Neural dynamics; computational intelligence; time-varying problems; optimization; quadratic programming; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-68594-1 | | isbn_softcover | 978-3-031-68596-5 | | isbn_ebook | 978-3-031-68594-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:38:26
