Event-Based Integral Sliding-Mode Consensus Control for Networked Multiagent Systems With State Quantization.

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Deyin Yao,Zhifei Zheng,Hongru Ren,Hongyi Li,Yang Shi
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Abstract

This article focuses on the issue of the quantization-based event-triggered integral sliding-mode controller design for networked multiagent systems (MASs) encountering interferences under limited network bandwidth. An integral sliding manifold (ISM) is designed to address the effect of disturbances and ensure the desired dynamic performance of the system. We establish an event-triggered mechanism (ETM) with an exponential decay rate to conserve the limited communication resources. Then, a uniform quantizer is added to quantify the triggered state signals to lessen the network transmission burden caused by the digital network. Combining the designed ETM with a static uniform quantizer, the quantized trigger state signals are sent to decoders through the digital network to construct a quantized ISM. Subsequently, an event-triggered integral sliding-mode controller under quantization technology is developed to ensure the asymptotic average consensus of networked MASs. By testifying that every network agent has a lower positive bound, the viability of the proposed ETM is demonstrated, thereby ensuring the absence of Zeno behavior. Eventually, two simulation examples are proffered to confirm the efficacy of the quantization feedback-based event-triggered SMC methodology.
状态量化网络化多智能体系统的事件积分滑模一致性控制。
本文主要研究在有限网络带宽下,网络多智能体系统遇到干扰时,基于量化的事件触发积分滑模控制器设计问题。设计了一个积分滑动歧管(ISM)来解决扰动的影响,并确保系统的预期动态性能。为了节约有限的通信资源,我们建立了一个指数衰减率的事件触发机制。然后,加入均匀量化器对触发状态信号进行量化,以减轻数字化网络带来的网络传输负担。将所设计的ETM与静态均匀量化器相结合,将量子化的触发状态信号通过数字网络发送给解码器,构成量子化的ISM。为了保证网络质量的渐近平均一致性,提出了一种基于量化技术的事件触发积分滑模控制器。通过证明每个网络代理都有一个下正界,证明了所提ETM的可行性,从而保证了不存在芝诺行为。最后,通过两个仿真实例验证了基于量化反馈的事件触发SMC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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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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