Adaptive event-triggered control of Markovian jump complex dynamic networks with actuator faults

The adaptive event-triggered control of Markovian jump complex dynamic networks (MJCDN) with actuator faults is studied in this paper. A new adaptive fault-tolerant control method is introduced to prove that the synchronization error is asymptotically convergent. Compared with traditional event-triggered strategies, a more general adaptive event-triggered control scheme for MJCDN is proposed to reduce network traffic load more effectively. This paper not only considers the synchronization of MJCDN with actuator faults and time-varying delay but also studies the H∞ disturbance attenuation performance of MJCDN with random disturbance and actuator faults under adaptive event-triggered controller with appropriate adaptive laws. The Zeno behavior is ruled out effectively in these two different situations. In the end, two simulation examples are provided to illustrate the validity and rationality of the proposed methods about the adaptive event-triggered control of MJCDN with actuator faults.