Control Design for Artificial Swarm Mechanical Systems: Dynamics, Uncertainty, and Constraint

Control Design for Artificial Swarm Mechanical Systems: Dynamics, Uncertainty, and Constraint
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人工群体机械系统的控制设计:动力学、不确定性和约束

DOI:
10.1002/asjc.1688
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发表时间:
2018-09
影响因子:
2.4
通讯作者:
Dong Fangfang
Dong Fangfang
中科院分区:
计算机科学4区
文献类型:
--
作者:
Zhao Xiaomin;Chen Ye-Hwa;Zhao Han;Dong Fangfang

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我们考虑一个由多个智能体组成的人工群体系统。agent之间通过引力/斥力相互影响,这与agent之间的相对位置有关。在这里,主体的集体行为模仿了一些生物群体系统。考虑了不确定性,建立了每个agent的动态模型。基于动态模型,我们针对每个agent提出了三种类型的自适应鲁棒控制,包括切换型、非切换型和分数型。控制设计结合了运动学、动力学、达朗贝尔原理、约束和不确定性的几个内在特征。
We consider an artificial swarm system consisting of multiple agents. The agents influence each other through the attraction/repulsion, which is related to the relative positions among them. Here the collective behavior of the agents mimics some biological swarm systems. The dynamic model for each agent is built by taking the uncertainty into account. Based on the dynamic model, we propose three types adaptive robust controls, including switching type, non‐switching type and fractional type, for each agent. The control design weaves together several intrinsic features of kinematics, dynamics, d'Alembert's principle, constraint, and uncertainty.
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