一类扇形有界非线性系统的混合控制策略。

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2025-03-01 DOI:10.3390/e27030261
Adrian-Mihail Stoica, Isaac Yaesh
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引用次数: 0

摘要

本文研究了一类具有扇区有界非线性系统的混合策略控制问题。建议的控制策略采用随机状态反馈,其中控制增益除了确定性部分外还包括白噪声成分。虽然每个控制信号组件有时可以独立完成控制任务,但组合可能有一些优点。当需要分别量化控制信号的均值和方差时,尤其如此。应用确定性状态反馈控制的系统非常多,而将状态乘性噪声作为控制手段的应用则比较有限。然而,基于状态乘性噪声控制的随机抗共振(SAR)在各种工程应用、物理建模和生物模型(如视觉运动任务)中都遇到过。导出了加权l2增益的矩阵不等式条件,该条件采用混合策略控制,具有闭环的指数lp稳定性。最后给出了一个数值算例,说明了混合控制策略相对于确定性控制策略的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed Control Strategy for a Class of Sector-Bounded Nonlinear Systems.

Here, mixed-strategy-based control of systems with sector-bounded nonlinearities is considered. The suggested control strategy applies a stochastic state feedback, where the control gain includes a white noise component in addition to the deterministic part. While each of the control signal components can sometimes accomplish the control task independently, the combination may have some merits. This is especially true when both the mean value and the variance of the control signal need to be quantified separately. Systems that apply deterministic state-feedback control are abundant, whereas the application of state-multiplicative noise as a mean of control is more limited. Nevertheless, Stochastic Anti Resonance (SAR) with state-multiplicative noise based control, are encountered in diverse engineering applications, physics modelling, and biological models, such as visual-motor tasks. Matrix Inequalities conditions are derived, for weighted L2-gain using a mixed strategy control along with exponential LP-stability of the closed-loop. A numerical example is given, where the merit of mixed control strategy comparing to deterministic control is demonstrated.

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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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