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Titlebook: Nonlinear Systems and Controls; Jürgen Adamy Textbook 20221st edition The Editor(s) (if applicable) and The Author(s), under exclusive lic

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31#
發(fā)表于 2025-3-26 23:55:09 | 只看該作者
32#
發(fā)表于 2025-3-27 04:05:19 | 只看該作者
Jürgen Adamynvolved in contributing to circadian rhythmicity. We know for example, that the general circadian mechanism is not regulated equally in all tissues of m- mals. Hence, a lot still needs to be discovered to get a full understanding of cir- dian rhythms at the systems level. In this respect, technology
33#
發(fā)表于 2025-3-27 08:23:22 | 只看該作者
Jürgen Adamyrcadian mechanism is not regulated equally in all tissues of m- mals. Hence, a lot still needs to be discovered to get a full understanding of cir- dian rhythms at the systems level. In this respect, technology978-1-4614-2512-0978-1-4419-1262-6
34#
發(fā)表于 2025-3-27 10:53:31 | 只看該作者
35#
發(fā)表于 2025-3-27 15:29:06 | 只看該作者
Jürgen Adamyrcadian mechanism is not regulated equally in all tissues of m- mals. Hence, a lot still needs to be discovered to get a full understanding of cir- dian rhythms at the systems level. In this respect, technology978-1-4614-2512-0978-1-4419-1262-6
36#
發(fā)表于 2025-3-27 19:24:53 | 只看該作者
37#
發(fā)表于 2025-3-28 00:25:56 | 只看該作者
Textbook 20221st editionods of?nonlinear control, which are becoming increasingly important in research and industrial applications. The?main features of?the?book are the?comprehensive presentation of?the?theory, excellent comprehensibility, the?many example applications, and more than a hundred exercises with?solutions. T
38#
發(fā)表于 2025-3-28 04:21:27 | 只看該作者
ves a clear introduction to?the?theory and application of?nonlinear systems and controls. The?author introduces and explains the?methods of?nonlinear control, which are becoming increasingly important in research and industrial applications. The?main features of?the?book are the?comprehensive presen
39#
發(fā)表于 2025-3-28 09:03:56 | 只看該作者
40#
發(fā)表于 2025-3-28 14:07:41 | 只看該作者
Nonlinear Control of Linear and Nonlinear Systems,l and state variables, and to nonlinear plants as well. The reasons for their widespread and successful use are the good explainability of their basic principle and their applicability to complex high-order dynamical systems.
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