In this paper, a custom built, underactuated, inspection class micro Remotely Operated
Unmanned Underwater Vehicle (ROV) is employed as a testbed to investigate control and …

This paper proposes a hybrid Zeigler-Nichols (ZN) fuzzy reinforcement learning MAS (Multi-
Agent System) approach for online tuning of a Proportional Integral Derivative (PID) …

To improve the performance of autonomous underwater vehicle in trajectory tracking control,
which is subject to system uncertainties and time-varying external disturbances, a nonlinear …

Manual-based parameters tuning methods of control system are widely used in many
industrial fields. However, better control performances such as faster control speed, more …

In this study, a novel Multivariable Adaptive Neural Network Controller (MANNC) is
developed for coupled model-free n-input n-output systems. The learning algorithm of the …

Autonomous underwater vehicles (AUV) have become the de facto vehicle for remote
operations involving oceanography, inspection, and monitoring tasks. These vehicles …

Abstract Remotely Operated Vehicle also known as ROV is a vehicle with high nonlinearity
and uncertainty parameters that requires a robust control system to maintain stability. The …

To address the issues of chattering and slow convergence speed in traditional sliding mode
control for underactuated ship trajectory tracking, this paper proposes a non-singular fast …

In this study, a novel Adaptive Neural Networks Controller (ANNC) is proposed for
controlling single-input single-output nonlinear systems. The proposed ANNC does not rely …

Energy consumption by growing population has been increased every year. Environmental
concerns and issues such as global warming caused by exhaustion of fossil fuel and carbon …