Fault-Tolerant Synchronization Control for Complex Networks by an Average Observer Approach
提出一种基于平均观测器的复杂网络容错同步控制方法，通过降维和估计未知元素，保证闭环系统同步有界，适用于网络化控制系统。
This article is dedicated to a fault-tolerant synchronization control method of complex networks (CNs) via an average observer. A projected operator matrix is constructed to reduce the dimension of CNs by clustering and aggregation. An average observer with derivative and integral terms is built to estimate unknown elements with high estimation accuracy. The fault-tolerant controller is a composite form of state-feedback and the estimated faults. Sufficient criterions are set up to guarantee the uniformly ultimately bounded synchronization of the resultant close-loop system. Finally, an example is simulated to deliver the effectiveness of the proposed approach.