Observer-based output feedback tracking consensus for multi-agent systems with periodic intermittent communication and input saturation

This paper studies the semi-global tracking consensus problem for general multi-agent networks with input saturation and periodic intermittent communication. The considered is solved by proposing an efficient distributed observer-based control protocol, where inputs of follower agents are subjected to saturation. First, a low-gain feedback method introduced suppress constraint, output protocol defined based on algebraic Riccati equation. Next, state observer designed ensure that can realize reconstruction under condition cannot be measured directly in process information interaction. Then, according Lyapunov second related linear inequalities, sufficient conditions which necessary observation system coordinated consensus, Finally, simulation performed prove expectant algorithm.