| 书目名称 | Robust and Fault-Tolerant Control |
| 副标题 | Neural-Network-Based |
| 编辑 | Krzysztof Patan |
| 视频video | |
| 概述 | Equips the reader to solve problems in a wide class of nonlinear systems.Provides opportunities for practice and experience with examples of robust and fault-tolerant control.Allows the reader easy ac |
| 丛书名称 | Studies in Systems, Decision and Control |
| 图书封面 |  |
| 描述 | .Robust and Fault-Tolerant Control. proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include:.a comprehensive review of neural network architectures with possible applications in system modelling and control;.a concise introduction to robust and fault-tolerant control;.step-by-step presentation of the control approaches proposed;.an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and.a large number of figures and tables facilitating the performance analysis of the control approaches described..The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-net |
| 出版日期 | Book 2019 |
| 关键词 | Control System Synthesis; Artificial Neural Networks; Dynamic Modelling; Fault-tolerant Control Systems |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-11869-3 |
| isbn_ebook | 978-3-030-11869-3Series ISSN 2198-4182 Series E-ISSN 2198-4190 |
| issn_series | 2198-4182 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 17:35:16
