Zhang Ji, Chai Sen-Chun, Zhang Bai-Hai, Liu Guo-Ping
IEEE Trans Cybern. 2022 Nov;52(11):12403-12413. doi: 10.1109/TCYB.2021.3073217. Epub 2022 Oct 17.
In this article, the tracking problem of networked discrete-time second-order nonlinear multiagent systems (MASs) is studied. First, for the MASs without communication delay, a novel method, called distributed model-free sliding-mode control algorithm is proposed, which can make the system converge quickly without the accurate model. Furthermore, for the MASs with delay, in order to eliminate the influence of time delay on the system, a distributed model-free sliding-mode predictive control strategy based on time-delay compensation technology is proposed, which can actively compensate for time delay while ensuring system stability and consensus tracking performance requirements. Both the simulation and experiment results reveal the superiority of the proposed methods.
本文研究了网络化离散时间二阶非线性多智能体系统(MASs)的跟踪问题。首先,针对无通信延迟的MASs,提出了一种新颖的方法,称为分布式无模型滑模控制算法,该算法无需精确模型就能使系统快速收敛。此外,针对存在延迟的MASs,为消除时延对系统的影响,提出了一种基于时延补偿技术的分布式无模型滑模预测控制策略,该策略能在确保系统稳定性和一致性跟踪性能要求的同时,主动补偿时延。仿真和实验结果均表明了所提方法的优越性。