Distributed stabilization of fuzzy networked systems with event-based sampling scheme

The distributed stabilization problem of fuzzy networked systems with event-triggered sampling scheme is investigated. An event condition is designed for each agent to govern the sampling instants. Since the event conditions are separately given for different agents, the sequences of sampling instants of agents are mutually independent. To stabilize the system, the state feedback controllers are implemented in the system. The controllers also use the sampled states of agents. The sampled signal is handled as a special delayed information. A delay-dependent method is utilized to derive the main results in terms of the linear matrix inequalites. To reduce the computational complexity, some relax matrices are introduced. Finally, a numerical example is given to demonstrate the advantage of our results.