Observer-based output consensus of a class of heterogeneous multi-agent systems with unmatched disturbances

Observer-based output consensus of a class of heterogeneous multi-agent systems with unmatched disturbances
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一类具有不匹配扰动的异构多智能体系统基于观察者的输出一致性

DOI:
10.1016/j.cnsns.2017.08.007
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发表时间:
2018-03
影响因子:
3.9
通讯作者:
Fanglai Zhu
Fanglai Zhu
中科院分区:
数学2区
文献类型:
--
作者:
Jiancheng Zhang;Fanglai Zhu

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研究了一类具有非匹配扰动的线性异质多智能体系统的输出一致性问题。首先,基于相邻智能体之间的相对输出信息,提出了一种基于渐近滑模的一致性控制方案,通过消除输出通道的扰动,使输出一致性误差收敛到零。其次,为了达到一致的目标,我们为每个智能体设计了一种新颖的高阶未知输入观测器。它不仅可以估计每个智能体的状态和扰动,而且可以估计扰动的高阶导数,这是上述控制方案所要求的。给出了基于观测器的一致控制律和一致误差动态收敛分析。最后,给出了一个仿真实例,验证了该方法的有效性。
In this paper, the output consensus of a class of linear heterogeneous multi-agent systems with unmatched disturbances is considered. Firstly, based on the relative output information among neighboring agents, we propose an asymptotic sliding-mode based consensus control scheme, under which, the output consensus error can converge to zero by removing the disturbances from output channels. Secondly, in order to reach the consensus goal, we design a novel high-order unknown input observer for each agent. It can estimate not only each agent’s states and disturbances, but also the disturbances’ high-order derivatives, which are required in the control scheme aforementioned above. The observer-based consensus control laws and the convergence analysis of the consensus error dynamics are given. Finally, a simulation example is provided to verify the validity of our methods.
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期刊: IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS
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