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Two-degree-of-freedom robot neurocontroller
Conference proceeding

Two-degree-of-freedom robot neurocontroller

A Guez and I Bar-Kana
29th IEEE Conference on Decision and Control, v 6, pp 3260-3264 vol.6
1990

Abstract

Adaptive control Equations Manipulators Neural networks Neurocontrollers Noise measurement Programmable control Robot kinematics Servomechanisms Zinc compounds
The performance of a two-degree-of-freedom robot neurocontroller is described. The main theorem suggests that global asymptotic stability is guaranteed despite the highly nonlinear nature of the closed-loop dynamics. Examples demonstrating the applicability of the neurocontroller are provided. It is concluded that a two-degree-of-freedom robot neurocontroller provides opportunities for noise filtering and disturbance rejection not available with a constant-gain servo neurocontroller.< >

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