In this paper, a method based on neural networks for intelligently extracting weighting
matrices of the optimal controllers' cost function is presented. Despite the optimal and robust …

Advanced controllers are an excellent choice for the trajectory tracking problem of Wheeled
Mobile Robots (WMRs). However, these controllers pose a challenge to the hardware …

The speed of solving and processing factors that are beneficial in reaching the desired
target is one of the problematic aspects of controlling robots that has been neglected by the …

The weak spots have been examined, a solution has been suggested, the solution has been
applied, and a comparison between the simulation and experimental test results has been …

This paper addresses the neural network (NN) output feedback formation tracking control of
nonholonomic wheeled mobile robots (WMRs) with limited voltage input. A desired …

Mobile robots tracking a reference trajectory are constrained by the motion limits of their
actuators, which impose the requirement for high autonomy driving capabilities in robots …

In this paper, considering some important indices such as closed-loop pole locations, speed
of response, and maximum level of control effort, and combining them into an objective …

In this paper, an adaptive neural network (NN)-based tracking control algorithm is proposed
for the wheeled mobile robotic (WMR) system with full state constraints. It is the first time to …

The mobile robot kinematic model is a nonlinear affine system, which is constrained by
velocity and acceleration limits. Therefore, the traditional control methods may not solve the …

The nonlinearities of the robotic manipulators and the uncertainties of their parameters
represent big challenges against the controller design. Moreover, the tracking of regular and …