Dynamic memory event-triggered fault-tolerant control of Markov jump systems based on proportional-integral intermediate observer under deception attacks

This paper proposes a proportional-integral intermediate observer-based fault-tolerant control method for Markov jump systems under a dynamic memory event-triggered scheme. In order to save network communication resources, a new dynamic memory-based event-triggered condition is designed by incorporating dynamically adjusted memory buffers. A mode-dependent intermediate observer is built by introducing an output error integral term to achieve better tracking performance. The corresponding memory-based event-triggered fault-tolerant controller is explored for the first time to overcome the effect of deception attacks and unknown faults. The sufficient conditions for the design of the proportional-integral observer and the controller are derived. Ultimately, two cases are given to demonstrate the efficacy of the proposed approach.