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Adaptive tracking control of a class of MIMO nonlinear systems with time-varying delay and dead-zone inputs

Zhijun Li, Ziting Chen, Chun‐Yi Su, Fuchun Sun

发表年份
2014
引用次数
2

摘要

This paper considers a class of nonlinearly parameterized MIMO systems with state time-varying delay systems and unknown nonlinear dead-zones. A new version of high dimensional integral Lyapunov function is introduced to construct a Lyapunov-based adaptive control structure, which does not try to cancel the coupling matrix for linearizing the system. Under both state time delay and deadzone inputs, the stability of the closed-loop system is guaranteed and the tracking errors converge to the origin. Simulation results using 2-DOF robotic manipulators demonstrate the effectiveness of the proposed approach.

关键词

Control theory (sociology)Dead zoneNonlinear systemMIMOParameterized complexityLyapunov functionComputer scienceAdaptive controlStability (learning theory)Backstepping

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