Event-Triggered Reliable State Estimation for Networked Unmanned Surface Vehicles with Sensor Faults
摘要
Our paper tries to solve the reliable state estimation issue of networked unmanned surface vehicle (USV) with external disturbances. A novel event-triggered information exchange strategy is proposed for the USV within the reliable framework. By model transformation and convex optimization method, sufficient conditions are established and the state estimator is designed with desired disturbance attenuation performance. Finally, the simulation example is shown for verifying corresponding usefulness for our derived theoretical approaches.