Yang Ruohan, Liu Lu, Feng Gang
IEEE Trans Cybern. 2022 Jan;52(1):3-15. doi: 10.1109/TCYB.2019.2962305. Epub 2022 Jan 11.
This article addresses the cooperative output tracking problem of a class of linear minimum-phase multiagent systems, where the agent dynamics are unknown and heterogeneous. A distributed event-triggered model reference adaptive control strategy is developed. It is shown that under the proposed event-triggered control strategy, the outputs of all the agents synchronize to the output of the leader asymptotically. It is also shown that Zeno behavior can be excluded with the proposed novel event triggering mechanism. In addition, the proposed adaptive control strategy is fully distributed in the sense that no prior knowledge of some global information, such as the eigenvalues of the associated Laplacian matrix and the number of the agents is required. Finally, an example is given to demonstrate the effectiveness of the proposed control strategy.
本文研究了一类线性最小相位多智能体系统的协同输出跟踪问题，其中智能体动力学未知且异构。提出了一种分布式事件触发模型参考自适应控制策略。结果表明，在所提出的事件触发控制策略下，所有智能体的输出渐近同步于领导者的输出。还表明，所提出的新型事件触发机制可以排除芝诺行为。此外，所提出的自适应控制策略是完全分布式的，即不需要关于一些全局信息的先验知识，如相关拉普拉斯矩阵的特征值和智能体数量。最后，给出一个例子来证明所提出控制策略的有效性。
