Trace Control of Unmanned Vehicles Based on Event-Triggered Mechanism

By proposing a model predictive control algorithm based on an event-triggered mechanism and optimizing the unmanned vehicle motion model and optimization algorithm, the problem of unmanned vehicle trajectory tracking control with bounded disturbances can be effectively solved. This algorithm ensures the accuracy of unmanned vehicle trajectory tracking to the reference trajectory while reducing the computational effort of solving optimization problems, lowering the computational burden, and improving computational efficiency. Through simulation verification, the effectiveness and superiority of this algorithm are proved, providing a new control method for the practical application of unmanned vehicles.