English(EN) Nonadaptive Learning in Robust Nonlinear Output Regulation

新的非自适应控制设计用于非线性系统，已发表在arXiv上

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-19 04:00

研究人员开发了一种新颖的非自适应控制设计，用于具有高相对阶的系统的鲁棒非线性输出调节。该方法利用了输入驱动滤波器和通用内部模型，并结合了递归反步律。该方法避免了自适应方案的复杂性，例如线性参数化回归器和对特定Lyapunov函数的需求，并已在Duffing系统上进行了演示。 AI

影响这项研究推动了复杂系统的控制理论发展，可能对机器人和自主系统产生影响。

排序理由学术论文发表在arXiv上，详细介绍了一种新的控制理论方法。[lever_c_demoted from research: ic=1 ai=0.4]

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arXiv cs.AI TIER_1 English(EN) · Shimin Wang, Martin Guay, Richard D. Braatz · 2026-08-19 04:00

鲁棒非线性输出调节中的非自适应学习

arXiv:2608.17262v1 Announce Type: cross Abstract: This paper considers robust nonadaptive regulation for general nonlinear systems in an output-feedback setting with arbitrarily high relative degree. We develop a nonadaptive design that combines an input-driven filter and a gener…