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Identification of nonlinear systems in the presence of unknown but bounded disturbances

机译：存在未知但有界干扰的非线性系统的辨识

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摘要

This paper deals with recursive parameter estimation of nonlinear systems in the presence of unknown but bounded disturbances. The proposed technique is performed by the use of a modified extended least squares algorithm so that the estimated parameters are consistent with the measurements and the noise constraints while local asymptotic convergence, under very general conditions, is assured. One of the main features is to show from the stability analysis, connection between some arbitrary factors and basin of attraction. High performances, from the design and implementation point of view will be shown through a numerical example under severe conditions.
机译：本文研究了存在未知但有界扰动的非线性系统的递归参数估计。通过使用改进的扩展最小二乘算法执行所提出的技术，以使估计的参数与测量值和噪声约束一致，同时在非常一般的条件下确保局部渐近收敛。主要特征之一是从稳定性分析中看出一些任意因素与吸引盆地之间的联系。从设计和实施的角度来看，将通过在严苛条件下的数值示例来显示高性能。

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