基于不确定性观测器的多智能体系统动态滑模编队控制

Yang Fei, Xin Yuan, P. Shi, C. Lim
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引用次数: 0

摘要

在多智能体系统的实际应用中,智能体可能持续受到外界干扰,这可能会对其跟踪性能产生负面影响。此外,系统动力学中未知或不准确的因素也会给系统的性能带来负面影响。针对二阶非线性多智能体系统的时变群体控制问题,提出了一种基于不确定性观测器的动态滑模控制方法。首先为每个agent实现一个不确定性观测器来估计agent的外部和内部不确定性及其时间导数的组合。针对一类二阶非线性智能体,提出了一种基于观测器的动态滑模编队控制律,以实现时变编队。最后,通过数值仿真验证了所提控制方法的有效性。
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Uncertainty-Observer-Based Dynamic Sliding Mode Formation Control for Multi-Agent Systems
For practical applications of multi-agent systems, agents could be continuously subject to external disturbances, which is likely to negatively affect their tracking performances. Furthermore, the unknown or inaccurate factors in system dynamics can also bring negative effects to a system’s performance. In this paper, an uncertainty-observer-based dynamic sliding mode control scheme is proposed to deal with time-varying formation control problems of second-order nonlinear multi-agent systems. An uncertainty observer is first implemented for each agent to estimate the combination of the agent’s external and internal uncertainties and its time derivative. An observer-based dynamic sliding mode formation control law is developed for a cluster of second-order nonlinear agents to achieve time-varying formation. Finally, a numerical simulation is provided to illustrate the validity of the proposed control approach.
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