IEEE Trans Cybern. 2022 Jun;52(6):5174-5183. doi: 10.1109/TCYB.2020.3027961. Epub 2022 Jun 16.
Cooperative output regulation (COR) of multiagent systems having heterogeneous uncertain nonlinear dynamics is often challenging because of the complex system dynamics and the coupling among agents. This article develops an adaptive internal model-based distributed regulator such that the outputs of a network of nonlinear agents are all regulated to a reference despite external disturbances. Specifically, we consider heterogeneous agents having nonlinear strict-feedback forms, with nonidentical unknown control directions, and subject to an unknown linear exosystem. Addressing the nonlinear COR problem shows the capability and flexibility of the proposed output regulator. The simulation results of output synchronization of Lorenz systems and cooperative tracking control of multiple ships are presented to show the capability of the proposed regulator.
多智能体系统的协同输出调节(COR)通常具有挑战性,因为系统动态复杂且各智能体之间存在耦合。本文提出了一种自适应内部模型基分布式调节器,使得即使存在外部干扰,网络中非线性智能体的输出也都能被调节到参考值。具体来说,我们考虑具有非线性严格反馈形式的异构智能体,具有不同的未知控制方向,并受到未知线性外系统的影响。解决非线性 COR 问题展示了所提出的输出调节器的能力和灵活性。通过洛伦兹系统的输出同步和多艘船舶的协同跟踪控制的仿真结果,展示了所提出的调节器的性能。