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Titlebook: Control Synthesis of Switched Systems; Xudong Zhao,Yonggui Kao,Tingting Wu Book 2017 The Editor(s) (if applicable) and The Author(s), unde

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樓主: coherent
11#
發(fā)表于 2025-3-23 12:30:19 | 只看該作者
https://doi.org/10.1007/978-3-319-44830-5Adaptive Backstepping; Adaptive Control; Common Lyapunov Function; Intelligent Control; Linear Subsystem
12#
發(fā)表于 2025-3-23 15:19:46 | 只看該作者
978-3-319-83145-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
13#
發(fā)表于 2025-3-23 21:43:36 | 只看該作者
14#
發(fā)表于 2025-3-24 01:11:55 | 只看該作者
https://doi.org/10.1007/978-3-642-99206-32015), Miao, Neurocomputing 111:184–189 (2013), Xu, Neurocomputing 154:337–346 (2015), [.–.] that the adaptive backstepping technique is a powerful tool which has been widely used to solve some complex optimization problems and applied in the fields of industry and engineering.
15#
發(fā)表于 2025-3-24 05:43:33 | 只看該作者
,Anhang. Die akute Entzündung der Haut,ation. In the past few years, some control problems of switched systems have been successfully solved, but there still are quite many interesting topics deserving further investigation; some of them have been considered in the book.
16#
發(fā)表于 2025-3-24 10:07:46 | 只看該作者
Adaptive Control of Switched Nonlinear Systems,2015), Miao, Neurocomputing 111:184–189 (2013), Xu, Neurocomputing 154:337–346 (2015), [.–.] that the adaptive backstepping technique is a powerful tool which has been widely used to solve some complex optimization problems and applied in the fields of industry and engineering.
17#
發(fā)表于 2025-3-24 14:23:13 | 只看該作者
Conclusions and Future Study Directions,ation. In the past few years, some control problems of switched systems have been successfully solved, but there still are quite many interesting topics deserving further investigation; some of them have been considered in the book.
18#
發(fā)表于 2025-3-24 18:52:26 | 只看該作者
19#
發(fā)表于 2025-3-24 20:30:38 | 只看該作者
20#
發(fā)表于 2025-3-25 00:24:49 | 只看該作者
https://doi.org/10.1007/978-3-642-99206-32015), Miao, Neurocomputing 111:184–189 (2013), Xu, Neurocomputing 154:337–346 (2015), [.–.] that the adaptive backstepping technique is a powerful tool which has been widely used to solve some complex optimization problems and applied in the fields of industry and engineering.
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