Reliable Tracking Control of Dynamic Positioning Ships Based on Aperiodic Measurement Information

Abstract

This study investigates the reliable tracking control problem for a dynamic positioning ship (DPS) based on aperiodic measurement information. Firstly, the actuator-failure model for the DPS is established, and the values of the actuator failures are random and the upper and lower bounds of the delay are considered. By introducing a new Lyapunov-Krasovskii functional (LKF), the mean square exponential stability criteria are obtained by means of linear matrix inequalities. And the real sampling patterns can be fully captured by constructing a suitable Lyapunov functions. Finally, an illustrative example is exhibited that the sampled-data controller can ensure the states of the DPS and have excellent tracking performances.