基于零梯度和的事件触发预定义时间分布式优化算法

IF 2.1 3区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

Systems & Control Letters Pub Date : 2025-02-01 DOI:10.1016/j.sysconle.2025.106019

Ge Guo , Xinxin Zhang , Renyongkang Zhang , Jian Kang

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引用次数: 0

摘要

提出了一种针对一致性约束和强凸局部代价函数的事件触发分布式优化算法。该算法采用零梯度和机制和滑模控制，不需要任何初始条件和局部极小化。为了避免持续的通信和测量，我们的算法使代理之间的交互仅在事件触发的时刻进行，从而节省了通信资源。重要的是，该方法在预定义的时间内将系统驱动到最优共识状态。仿真结果验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Event-triggered predefined-time distributed optimization algorithm based on zero-gradient-sum

This paper presents an event-triggered distributed optimization (DO) algorithm for consensus constraints and strongly convex local cost functions. The algorithm is derived by means of the zero-gradient-sum mechanism and sliding mode control, which is free from any initial conditions or local minimization. In order to avoid continuous communication and measurement, our algorithm enables the interaction between agents solely at event-triggered instants, resulting in conserving communication resources. Importantly, the proposed method drives system to the optimal consensus state within a predefined time. Simulation results demonstrate the effectiveness of our approach.

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来源期刊

Systems & Control Letters 工程技术-运筹学与管理科学

CiteScore

4.60

自引率

3.80%

发文量

144

审稿时长

6 months

期刊介绍： Founded in 1981 by two of the pre-eminent control theorists, Roger Brockett and Jan Willems, Systems & Control Letters is one of the leading journals in the field of control theory. The aim of the journal is to allow dissemination of relatively concise but highly original contributions whose high initial quality enables a relatively rapid review process. All aspects of the fields of systems and control are covered, especially mathematically-oriented and theoretical papers that have a clear relevance to engineering, physical and biological sciences, and even economics. Application-oriented papers with sophisticated and rigorous mathematical elements are also welcome.