歪曲道理
发表于 2025-3-28 16:56:52
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煞费苦心
发表于 2025-3-28 20:50:26
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RUPT
发表于 2025-3-29 00:20:58
https://doi.org/10.1007/978-3-540-70764-6y different from the ones in Chap. 10. Instead of using limiting dynamics or averaging, we use a “frozen dynamics” approach, whereby Lyapunov functions for the corresponding frozen dynamics are used to build strict Lyapunov functions for the original slowly time-varying dynamics. We illustrate our results using friction and pendulum models.
花束
发表于 2025-3-29 05:57:35
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遗忘
发表于 2025-3-29 07:21:52
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Minatory
发表于 2025-3-29 13:40:54
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Communicate
发表于 2025-3-29 15:47:04
Adaptively Controlled Systemstions for an augmented system that includes the tracking error and the parameter estimation error. Our strict Lyapunov function approach makes it possible to quantify the effects of other types of uncertainty in the model as well, using the input-to-state stability framework. We illustrate our results using Rössler’s dynamics and Lorenz systems.
PARA
发表于 2025-3-29 23:17:39
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extinct
发表于 2025-3-30 02:12:40
Background on Nonlinear Systemsby Brockett’s Necessary Condition. Brockett’s Criterion motivates our use of time-varying feedbacks to stabilize both autonomous and time-varying systems. We illustrate these notions in several examples. In later chapters, we revisit these notions using strict Lyapunov functions.
AGONY
发表于 2025-3-30 06:12:14
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