IEEE Trans Cybern. 2017 Aug;47(8):2058-2066. doi: 10.1109/TCYB.2017.2703945. Epub 2017 May 24.
In this paper, a distributed optimization problem is studied for continuous-time multiagent systems with unknown-frequency disturbances. A distributed gradient-based control is proposed for the agents to achieve the optimal consensus with estimating unknown frequencies and rejecting the bounded disturbance in the semi-global sense. Based on convex optimization analysis and adaptive internal model approach, the exact optimization solution can be obtained for the multiagent system disturbed by exogenous disturbances with uncertain parameters.
本文针对具有未知频率干扰的连续时间多智能体系统研究了分布式优化问题。为了在半全局意义上实现最优一致性并抑制有界干扰，提出了一种基于分布式梯度的控制方法来估计未知频率。基于凸优化分析和自适应内模方法，对于受不确定参数外部干扰的多智能体系统，可以得到精确的优化解。
