Estimation and indirect adaptive control for nonlinearly parameterized systems

A. Flores-Perez, Ileana Grave, Yu Tang
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引用次数: 4

Abstract

Adaptive control and estimation of nonlinearly parameterized systems have been active areas of research due to the theoretical challenge and the wide variety of applications. Based on the recently developed contraction theory, this work formulates novel schemes of estimation and indirect adaptive control for nonlinearly parameterized systems. The developed algorithms were applied to two nonlinear models and verified by means of simulation.
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非线性参数化系统的估计与间接自适应控制
由于理论挑战和广泛的应用,非线性参数化系统的自适应控制和估计一直是研究的活跃领域。基于最近发展起来的收缩理论,本文提出了非线性参数化系统的估计和间接自适应控制的新方案。将所提出的算法应用于两个非线性模型,并进行了仿真验证。
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