ISH
发表于 2025-3-21 19:16:19
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鞭打
发表于 2025-3-21 23:27:45
Data-Driven DAILC for Nonlinear Nonaffine Systemsu and Tan .; Xu and Jin .; Choi and Lee .; Tayebi .; Chien and Yao .; Rotariu et al. .; Chi et al. .; Li et al. .; Zhang and Li .; Zhang et al. .) have been widely studied by introducing parametric adaptation law in the learning process. The DAILC method not only overcomes the iteration-varying refe
野蛮
发表于 2025-3-22 00:56:03
Multi-Input Enhanced Data-Driven Discrete-Time Adaptive ILCe initial states and desired trajectories are iteratively varying. However, the IDL approach employed in Chap. 7 merely makes use of control information from an immediately past one sample instant even if the original system itself is of higher order in control input. In other words, the dynamic eff
Exploit
发表于 2025-3-22 04:52:11
Data-Driven Discrete-Time Adaptive ILC for Terminal Tracking. For example, if the realistic plant can be modeled by a parametric system, the DAILC presented in Chaps. . and . can be applied. If the real plant contains some hard nonlinearities, the DAILC methods-based nonlinearity estimator or neural networks presented in Chaps. . and . may be a proper select
Chronological
发表于 2025-3-22 12:13:10
Discrete-Time Adaptive Iterative Learning Control978-981-19-0464-6Series ISSN 2662-5458 Series E-ISSN 2662-5466
大雨
发表于 2025-3-22 14:05:35
Dimensions of Sustainability Appraisal, Learning is an important feature of artificial intelligence (AI) to mimic the cognitive functions of humans. Learning is a broad concept and can be defined as a modification of a behavioral tendency by experience. In the cybernetics field, learning means to tune the control action to improve contro
大雨
发表于 2025-3-22 20:01:09
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obnoxious
发表于 2025-3-23 00:23:44
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商议
发表于 2025-3-23 03:54:09
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Engulf
发表于 2025-3-23 07:51:49
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