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Robust Control for Constrained Robot Manipulators

F. Mnif, E.K. Boukas, Maarouf Saad

发表年份
1999
引用次数
10

摘要

In this paper, a robust control law for constrained manipulators with parametric uncertainties is derived. Two schemes are presented; the first, based on The Corless-Leitmann approach, will guarantee ultimate uniform stability of the system, and hence uniform boundedness errors convergence. As a second approach, a class of continuous feedback controls is proposed to guarantee asymptotic stability of the uncertain system. The analysis is based on a theoretical result of asymptotic stability. In this approach, due to the continuity of the control and asymptotic stability of the system, we can achieve acceleration convergence and, thus, constraint force convergence.

关键词

Control theory (sociology)Convergence (economics)Exponential stabilityConstraint (computer-aided design)Parametric statisticsStability (learning theory)AccelerationRobust controlComputer scienceRobot manipulator

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