Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances
研究了连续时间多智能体系统在未知频率扰动下的分布式优化问题，提出一种基于梯度的分布式控制方法，使智能体在估计未知频率并抑制有界扰动的同时实现最优一致性。
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.