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An adaptive control scheme for nonholonomic mobile robot with parametric uncertainty

F. Mnif, Farid Touati

Year
2004
Citations
2

Abstract

This paper addresses the problem of stabilizing the dynamic model of a nonholonomic mobile robot. A discontinuous adaptive state feedback controller is derived to achieve global stability and convergence of the trajectories of the of the closed loop system in the presence of parameter modeling uncertainty. This task is achieved by a non smooth transformation in the original system followed by the derivation of a smooth time invariant control in the new coordinates. The stability and convergence analysis is built on Lyapunov stability theory.

Keywords

Nonholonomic systemControl theory (sociology)Parametric statisticsLyapunov stabilityConvergence (economics)Adaptive controlMobile robotComputer scienceLyapunov functionStability (learning theory)

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