| 書(shū)目名稱 | Sequential Intelligent Dynamic System Modeling and Control |
| 編輯 | Hai-Jun Rong,Zhao-Xu Yang |
| 視頻video | http://file.papertrans.cn/866/865397/865397.mp4 |
| 概述 | Comprehensively studies sequential fuzzy system modelling in dynamic environments.Deepens sequential fuzzy and neural controller design both in theory and practice.Presents interdisciplinary research |
| 圖書(shū)封面 |  |
| 描述 | The book offers novel research results of sequential intelligent dynamic system modeling and control in a unified framework from theory proposals to real applications. It covers an in-depth study of various learning algorithms for the permanent adaptation of intelligent model parameters as well as of structural parts of the model. The comprehensive researches on sequential fuzzy and neural controller design schemes for some complex real applications are included. This is particularly suited for readers who are interested to learn practical solutions for controlling nonlinear systems that are uncertain and varied at any time. In addition, the organization of the book from addressing fundamental concepts, and presenting novel intelligent models to solving real applications is one of the major features of the book, which makes it a valuable resource for both beginners and researchers wanting to further their understanding and study about realtime online intelligent modeling and control ofnonlinear dynamic systems. The book can benefit researchers, engineers, and graduate students in the fields of control engineering, artificial intelligence, computational intelligence, intelligent con |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Online sequential learning; Modeling and control; Nonlinear dynamic system; fuzzy systems; neural networ |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-1541-1 |
| isbn_softcover | 978-981-97-1543-5 |
| isbn_ebook | 978-981-97-1541-1 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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