一类多智能体系统的自适应编队控制与目标跟踪:编队机动

V. Gazi, B. Fidan
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引用次数: 14

摘要

本文针对一类具有非线性不确定动力学的多智能体系统,提出了一种基于直接自适应模糊控制的编队控制和目标跟踪方法。假设智能体只能测量它们与其他智能体的相对位置,并应用目标和高增益观测器来估计组合跟踪和编队误差的导数。还考虑了各种编队机动,如收缩/膨胀、旋转和编队的重新配置。使用边界和滑模控制项来保证系统的稳定性和鲁棒性。通过简单的数值模拟验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive formation control and target tracking in a class of multi-agent systems: Formation maneuvers
In this article we develop a direct adaptive fuzzy control based methodology for formation control and target tracking in a class of multi-agent systems with nonlinear and uncertain dynamics. The agents are assumed to be able to measure only their relative position to the other agents and the target and high gain observers are applied to estimate the derivatives of the combined tracking and formation errors. Various formation maneuvers such as contraction/expansion, rotation, and reconfiguration of the formation are also considered. Bounding and sliding mode control terms are used to guarantee stability and robust performance. Simple numerical simulations are also provided to verify the effectiveness of the algorithm.
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