In this article, a novel reinforcement learning-based optimal tracking control (RLOTC)
scheme is established for an unmanned surface vehicle (USV) in the presence of complex …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

In this paper, accurate trajectory tracking problem of a surface vehicle disturbed by complex
marine environments is solved by creating a finite-time control (FTC) scheme whereby the …

Due to strongly coupled nonlinearities of the grasped dual-arm robot and the internal forces
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …

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 …

In this paper, we consider the trajectory tracking of a marine surface vessel in the presence
of output constraints and uncertainties. An asymmetric barrier Lyapunov function is …

Notice of Violation of IEEE Publication Principles After careful consideration by a duly
constituted committee, an author of this article, Hamid Reza Karimi, was found to have acted …

This paper investigates the adaptive tracking control problem for a class of uncertain single-
input and single-output strict-feedback nonlinear systems with unknown control direction …

In this paper, we consider attitude control for autonomous underwater vehicles (AUVs) with
input nonlinearities and unknown disturbances taken into account. The dynamics model in …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …