Observer-based distributed event-triggered control of Markov linear system over saturation sensor network

Under the consideration of distributed adaptive event-triggered communication scheme and cyber-attacks, the paper focuses the observer-based H ∞ control issue for Markov jump linear systems over stochastic saturation sensor networks. To describe physical systems with abrupt variations, the system parameters and the network structure composed of a group of sensor nodes are modeled by Markovian switching topologies. A distributed adaptive event-triggered mechanism is designed to reduce the occupancy of the limited network resources. Based on randomly occurring cyber-attacks, a novel observer collected coupled transmission signals from multi-channel is first proposed to estimate unavailable state variables and exploited in the feedback protocol. Furthermore, a sufficient condition is derived to guarantee the stability of the built model with a prescribed performance index. Simultaneously, a co-design method for observer and controller gain matrices is proposed. Finally, the effectiveness of the model is illustrated by a numerical simulation example.