Now showing items 1-10 of 388
AN ARTIFICIAL NEURAL SYSTEM FOR CLOSED-LOOP CONTROL OF LOCOMOTION PRODUCED VIA NEUROMUSCULAR ELECTRICAL-STIMULATION
(Blackwell Science Publ Inc CambridgeCambridge, 1995)
A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances
In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and ...
Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID
In this work, original results, concerning the application of a discrete-time adaptive PID neural controller in mobile robots for trajectory tracking control, are reported. In this control strategy, the exact dynamical ...
Design and implementation of adaptive NeuralPID for non linear dynamics in mobile robots
(Institute Of Electrical And Electronics Engineers, 2015-04)
In this work, it will be reported original results concerning the application of PID Adaptive Neural controller in mobile robot in trajectory tracking control. In this control strategy the exact dynamical model of the robot ...
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...
Asymmetry in neural fields: a spatiotemporal encoding mechanism
Neural field models have been successfully applied to model diverse brain mechanisms like visual attention, motor control, and memory. Most theoretical and modelingworks have focused on the study of the dynamics of ...
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm
(Institute of Electrical and Electronics Engineers, 2016-06)
This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics ...
Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties
This paper addresses the problem of adaptive neural sliding mode control for a class of multi-input multi-output nonlinear system. The control strategy is an inverse nonlinear controller combined with an adaptive neural ...