A Novel Communication Time-Delay Cooperative Control Method with Switching Event-Triggered Strategy

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Robotic Systems Pub Date : 2024-03-11 DOI:10.1007/s10846-024-02076-5
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Abstract

A novel communication time-delay classification-based method is designed for nonlinear multiagent systems with the finite-time prescribed performance function. The time-delay phenomenon for communication channels between agents is discussed. Then, an improved time-delay classification method is proposed to broaden the standard of classification mechanism by considering the degree of deviation and relative variation of neighbor agents, rather than classifying the delay time into large time-delay and small time-delay. Based on this, the unified Lyapunov-Krasovskii functional and the finite-time performance function are used to solve the large time-delay phenomenon and ensure that the error is within the preset boundary, respectively. Furthermore, a modified switching event-triggered strategy is put forward to reduce the transmission burden, which considers the impact of tracking error to adjust the threshold condition in real-time. Additionally, all signals of the closed-loop systems are bounded. Eventually, two simulation examples verify the validity of the control strategy.

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采用切换事件触发策略的新型通信时延协同控制方法
摘要 针对具有有限时间规定性能函数的非线性多代理系统,设计了一种基于通信时延分类的新方法。讨论了代理间通信信道的时延现象。然后,提出了一种改进的时延分类方法,通过考虑相邻代理的偏差程度和相对变化来拓宽分类机制的标准,而不是将时延分为大时延和小时延。在此基础上,利用统一的 Lyapunov-Krasovskii 函数和有限时间性能函数分别解决大时延现象和确保误差在预设边界内。此外,为减轻传输负担,还提出了一种改进的开关事件触发策略,该策略考虑了跟踪误差的影响,可实时调整阈值条件。此外,闭环系统的所有信号都是有界的。最后,两个仿真实例验证了控制策略的有效性。
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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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