The objective of this paper is to develop a path planning algorithm that is able to plan the
trajectory of mobile robots from its start point to target point in static and dynamic unknown …

This paper deals with a tracking control problem of a mechanical servo system with
nonlinear dynamic friction which contains a directly immeasurable friction state variable and …

In this article, we investigate a robust friction compensation scheme for the purpose of
accomplishing high-precision positioning performance in a servo mechanical system with …

In general, the position control of electro hydrostatic actuator (EHA) systems is difficult
because of the large variation of the effective bulk modulus of the working fluid, which is due …

This paper present a new wavelet network control scheme for mobile robot path tracking.
The particles swarm optimization (PSO) method is used for determining the optimal wavelet …

This paper presents the robust tracking control of EHA (Electro Hydrostatic Actuator) system.
EHA system provides the simple structure and frees from the environment pollution, but the …

To improve position tracking performance of servo systems, a position tracking control using
adaptive back-stepping control (ABSC) scheme and recurrent fuzzy neural networks (RFNN) …

Neuro-fuzzy system (NFS) and especially localized NFS are powerful rule-based methods
for knowledge extraction, capable of inducing salient knowledge structures from data …

This paper proposes the use of radial basis function neural networks approach to the
solution of a mobile robot orientation adjustment using reinforcement learning. In order to …

A robust precise tracking control for a servomechanical system with non-linear dynamic
friction is presented. The LuGre friction that is adopted as a non-linear friction model …