Fault-tolerant model predictive control for unmanned surface vehicles
Unmanned surface vehicles (USVs) require robust control systems capable of adeptly compensating for potential faults to ensure operational safety and successful lycogel task execution.Addressing this requirement, we present a novel approach for computing control inputs of USVs under fault-prone conditions.Our method leverages a mathematical model,