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扰动来源至关重要:自适应调节中的外部、内部与控制生成噪声

The Source of Disturbance Matters: External, Internal, and Control-Generated Noise in Adaptive Regulation

Veronique Ziegler

arXiv 2609.26428首次发表:更新:

AI 中文总结

本研究通过模拟比较外部、内部及控制生成扰动对自适应调节的影响,发现内部扰动负担最大,且控制成本增加导致非单调响应,强调扰动来源与时机的重要性。

AI 中文摘要

自适应调节本身可能会扰动其旨在稳定的状态。在对自适应智能体的复制模拟中,我们比较了在调节优先和扰动优先排序下,外部扰动、持续的内部生成扰动以及控制生成扰动的影响。在所测试的参数网格内,持续的内部扰动产生了最大的暴露和调节负担。当正向控制器更新产生即时扰动成本时,增加该成本会产生非单调响应:有效扰动最初上升,随机运行间的变异性在中间范围内增加,而在较高成本下纠正活动被强烈抑制。结果表明,扰动来源和时序如何塑造该模型中的暴露和控制器负担。它们促使使用不同扰动来源测试自适应智能体,并评估调节活动与暴露。

英文摘要

Adaptive regulation can itself perturb the state it is intended to stabilize. In replicated simulations of an adaptive agent, we compare external disturbance, persistent internally generated disturbance, and control-generated disturbance under regulation-first and disturbance-first ordering. Persistent internal disturbance produces the largest exposure and regulatory burden within the tested parameter grid. When positive controller updates generate an immediate disturbance cost, increasing that cost produces a nonmonotonic response: effective disturbance initially rises, variability across stochastic runs increases over an intermediate range, and corrective activity becomes strongly suppressed at higher costs. The results show how disturbance source and timing shape exposure and controller burden in this model. They motivate testing adaptive agents with distinct disturbance sources and assessing regulatory activity alongside exposure.

Comments14 pages, 9 figures, 1 table

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