Within the next several years, there will be a high level of autonomous technology that will
be available for widespread use, which will reduce labor costs, increase safety, save energy …

Fuzzy logic control, due to its simple control structure, easy and cost-effective design, has
been successfully employed to the application of guidance and control in robotic fields. This …

This paper presents a path following controller of a surface vessel with a prescribed
performance in the presence of input saturation and external disturbances. Based on the …

This paper addresses the problem of robust bottom following control for a flight-style
autonomous underwater vehicle (AUV) subject to system uncertainties, actuator dynamics …

An n-degree of freedom nonlinear control law for the trajectory tracking of marine vehicles
that operate in the presence of unknown time-varying disturbances, input saturation and …

In this paper, a finite-time trajectory tracking control for unmanned surface vessel with error
constraints and input saturations is proposed. We take the limited actuator capability into …

In this paper neural-network (NN) based adaptive trajectory tracking control scheme has
been designed for underactuated Autonomous Underwater Vehicles (AUVs) which are …

A robust adaptive prescribed performance control (RAPPC) law is proposed for dynamic
positioning (DP) of ships subject to unknown time-varying disturbances with the control input …

A novel neural network adaptive prescribed performance formation control algorithm is
investigated for multiple underactuated unmanned surface vehicles (USVs) with asymmetric …

This paper solves a fixed-time trajectory tracking control problem for a marine surface vessel
in the presence of model uncertainties, external disturbances, input saturation and …