Bipartite Containment Control of Uncertain Dynamic Networks Based on Adaptive Internal Model Method
针对多领导者网络系统，提出一种分布式控制律，利用自适应补偿器解决外部系统信息不可用时的包含控制问题，并设计新型自适应内模补偿器处理系统鲁棒性。
A distributed control law synthesized several effective tools which called adaptive compensators solve a containment control problem. Distinguish from many studies on tracking, the situation where external system information is not available to network nodes is considered in a multileader system under a structurally balanced topology, the designed compensator is used to estimate the adaptive state of the convex hull to each follower. Considering the special case of external system information, a novel adaptive internal model compensator is proposed to dispose of the system robustness problem. Moreover, a novel Sylvester equation is given without considering all closed-loop system information and present an algorithm for calculating adaptive solutions of Sylvester equations based on containment control.