Fixed/Prescribed-Time Synchronization and Energy Consumption for Kuramoto-Oscillator Networks

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Zhenfeng Ma;Dongbing Tong;Qiaoyu Chen;Wuneng Zhou
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Abstract

To evaluate the energy-saving effect of the controller, obtaining upper bounds on energy consumption and control time has become a worthwhile and meaningful issue to study. This article mainly discusses three contents about the Kuramoto oscillator network, including fixed-time synchronization (FxTS), prescribed-time synchronization (PTS), and energy consumption estimation. First, to reach FxTS, two sufficient conditions are proposed to guarantee that the Kuramoto oscillator network can reach fixed-time phase agreement and frequency synchronization. Unlike finite/fixed-time controllers, the prescribed-time controller in this article includes a time-varying function term, which is essential to ensure that the system achieves the prescribed-time phase agreement and frequency synchronization. At the same time, the setting-time for PTS is independent of the system initial values or controller parameters, which expands the application prospects of the system. Then, with limited setting-time as a premise, the energy consumed during the fixed/prescribed-time control process is obtained, which helps to evaluate the working time of the system. Finally, an example of a 5-node network is used to illustrate the effectiveness of FxTS and PTS in Kuramoto-oscillator networks.
库拉莫托振荡器网络的固定/规定时间同步与能耗
为了评价控制器的节能效果,获取能耗和控制时间的上界成为一个值得研究和有意义的问题。本文主要讨论了关于Kuramoto振荡器网络的三个内容,即固定时间同步(FxTS)、规定时间同步(PTS)和能耗估算。首先,为了达到FxTS,提出了保证Kuramoto振荡器网络能达到定时相位一致和频率同步的两个充分条件。与有限/固定时间控制器不同,本文中的规定时间控制器包含时变函数项,这对于确保系统达到规定时间相位一致和频率同步至关重要。同时,PTS的整定时间与系统初始值或控制器参数无关,拓展了系统的应用前景。然后,以有限的设定时间为前提,得到固定/规定时间控制过程中所消耗的能量,从而对系统的工作时间进行评估。最后,以一个5节点网络为例,说明了FxTS和PTS在kuramoto振荡器网络中的有效性。
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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