Event-triggered Simultaneous Fault Detection and Consensus Control for Linear Multi-agent Systems

This paper investigates the design and development of event-triggered simultaneous fault detection and consensus control (SFDCC) problem for a network of linear agents. Each agent is equipped with a distributed SFDCC unit that uses the information from the relative measurement sensors and data transmission facilities. It is assumed that the data is transmitted from an agent to its neighbours whenever a specific event condition is satisfied. With the proposed methodology each agent can detect not only its own fault but also the faults occurred in its neighbors and at the same time, all the agents can track the output of a reference model. The parameters of the SFDCC module are designed such that a mixed H-infinity/H- performance index is satisfied based on sufficient conditions in terms of extended linear matrix inequalities (LMIs). It is shown that by using event-triggered data transmission, the amount of data transmitted from an agent to its neighbors and the actuator updates are reduced. Simulation results are presented for fault detection and control of a group of unmanned underwater vehicles to demonstrate and verify the effectiveness of the proposed methodology.