基于LQR的异构多智能体系统的最优一致性

LQR-based Optimal Leader-follower Consensus in Heterogeneous Multi-agent Systems

  • 摘要: 考虑了一类异构多智能体系统的最优一致性问题,所考虑的系统由静态领航者、一阶跟随者及二阶跟随者三类智能体组成.在系统位置拓扑图含有生成树,且至少有一个二阶跟随者可得到领航者信息的条件下,利用线性二次调节器(LQR)理论和逆优化方法得到了系统可解最优一致性问题的充分必要条件,也即所设计控制协议在所求得的性能指标意义下是最优的.仿真结果验证了算法的有效性.

     

    Abstract: We investigate the optimal leader-follower consensus problem in heterogeneous multi-agent systems, which consist of one static leader, first-order followers, and second-order followers. Under conditions in which the position digraph contains a spanning tree and at least one second-order follower takes the static leader as a neighbor, we present the necessary and sufficient condition for this system to achieve optimal consensus by employing the linear-quadratic regulator (LQR) theory and the inverse optimization method. In this sense, the proposed control protocols for each follower are optimized with respect to the obtained linear-quadratic-performance index function. The simulation results confirm the validity of the proposed method.

     

/

返回文章
返回