Abstract
Abstract This work suggests an adaptive limited-time command filtering control method for moving ships around in the Arctic. It does a good job of solving the thruster dynamics problem while taking into account uneven ice loads, model errors, and unknown changes in the environment. In the DP system, the neural network system is used to get close to the unclear function. A finite-time control law is meant to get the ship to the point and course that the captain wants by using estimates. Lyapunov analysis showed that the closed-loop system as a whole is stable, which means that all signals are still limited in time. Number-based simulations have shown that the suggested control strategy works.
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