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多智能体系统输入约束下的一致性与轨迹规划研究

DOI: 10.3724/SP.J.1004.2012.01074, PP. 1074-1082

Keywords: 多智能系统,一致性,轨迹规划,预测控制

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Abstract:

?针对多智能体系统提出了一种分布式预测控制方法.首先,研究了有输入约束下的一致性问题.其次,对环境中有障碍物的多智能体轨迹规划进行了研究,其中只有当障碍物进入智能体有限感知区域内时,障碍物状态信息才能被获取.基于预测控制方法,设计了一种分布式控制算法来解决上面两个问题.构造一个与每个智能体动力学相交互的代价函数,设计相应最优控制问题,从而实现优化控制算法.智能体间交互信息是其邻居在上一时刻的最优控制状态.系统稳定性可以通过构造代价函数中的一个终点状态控制器与最优控制问题中的一个终点状态区域来保证.仿真研究表明所提方法的有效性.

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