Shan Wang, Xisheng Zhan, Jie Wu, Lingli Cheng, Bo Wu
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引用次数: 0
摘要
本研究深入探讨了二阶多Agent系统(MAS)的固定时间和预定时间两方共识跟踪(BCT),其中合作行为和竞争行为并存,同时考虑了有界干扰。基于滑模控制方法,提出了固定时间和预定时间控制协议,以确保实现 MAS 的固定时间和规定时间 BCT,从而有效消除奇异性和颤振。利用 Lyapunov 稳定性,我们为二阶 MAS 建立了一套实现固定时间和预定时间 BCT 的充分条件。此外,我们还给出了数值模拟结果,以证实理论结论。
Fixed-Time and Predefined-Time Bipartite Consensus Tracking for Second-Order Multi-agent Systems Based on Sliding-Mode Approach
This study delves into fixed-time and predefined-time bipartite consensus tracking (BCT) of second-order multi-agent systems (MASs), where cooperative and competitive behaviors coexist, while accounting for bounded disturbances. Based on the sliding mode control method, the fixed-time and predefined-time control protocols are proposed to ensure the achievement of fixed-time and prescribed-time BCT for the MASs, which can effectively eliminate singularity and chattering. Leveraging Lyapunov stability, we establish a set of adequate conditions to achieve fixed-time and predefined-time BCT for second-order MASs. Furthermore, we present numerical simulation results to substantiate the theoretical conclusions.
期刊介绍:
Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area.
The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing.
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Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.