This paper proposes an adaptive fuzzy neural network backstep** control scheme for
bilateral teleoperation systems with asymmetric time delays induced by the communication …

In this paper, we address the problem of adaptive tracking control for a teleoperation system
with uncertainties in both kinematics and dynamics. Its solution is difficult to establish as the …

This paper proposes a novel bilateral control design based on an estimated reaction force
without a force sensor for a three-degree of freedom hydraulic servo system with master …

This study develops an approach of controller design, on the basis of Lambert W function
structure for Internet-based bilateral teleoperation systems. Actually, time-delay terms in …

This study aimed to eliminate dynamic uncertainty, one of the main problems of haptic
teleoperation robotic systems. The optimal adaptive computed torque control method was …

In this study, a new controller method based on wavelet neural adaptive proportional plus
conventional integral-derivative (WNAP+ ID) controller through adaptive learning rates …

Trajectory tracking is an essential requirement in robot manipulator movement and
localization applications. It is a current research topic of interest, and several researchers …

This paper presents an ANFIS (adaptive neurofuzzy inference system) controller for a
teleoperation system using FPGA (Field Programmable Gate Array). The proposed controller …

When the control rules of traditional fuzzy controller are determined, it comes to be time-
consuming and laborious to adjust for different usage conditions. Therefore, the timeliness …

This paper presents an adaptive neuro-fuzzy controller ANFIS (Adaptive Neuro-Fuzzy
Inference System) for a bilateral teleoperation system based on FPGA (Field Programmable …