This article addresses synchronization control of switched CN with unknown state and actuator fault. A mode-dependent proportional-integral intermediate observer is explored to estimate unknown elements with high-estimation accuracy. A hybrid controller is constructed to treat the asynchronous occurrence of impulses and switching moments. With the help of mode-dependent average dwell time and mode-dependent average impulsive interval, a mode-dependent criterion is established to guarantee the uniformly bounded synchronization performance. Two examples are simulated to deliver the effectiveness of the proposed method.

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.

The article addresses Pareto-optimal synchronization control of complex networks (CNs) under dynamic topology. The performance function and the correspondingly Hamilton–Jacobi–Bellman equation are formulated by utilizing coupling information. This equation is solved to obtain an optimized control policy via a policy iteration algorithm with an actor–critic neural network (NN). Under this policy, the sparse projected gradient is utilized to attain a Pareto-optimal topology. A novel lemma is proposed to link the topology update with the performance function. Sufficient conditions are established to guarantee the uniformly ultimately bounded synchronization performance. Finally, a vehicle platoon example is provided to deliver the effectiveness of the proposed approach.