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Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systems
International Journal of Adaptive Control and Signal Processing ( IF 3.1 ) Pub Date : 2021-03-13 , DOI: 10.1002/acs.3229 Israel I. Zetina‐Rios 1 , Gloria‐L. Osorio‐Gordillo 1 , Rodolfo A. Vargas‐Méndez 1 , Guadalupe Madrigal‐Espinosa 1 , Carlos‐M. Astorga‐Zaragoza 1
International Journal of Adaptive Control and Signal Processing ( IF 3.1 ) Pub Date : 2021-03-13 , DOI: 10.1002/acs.3229 Israel I. Zetina‐Rios 1 , Gloria‐L. Osorio‐Gordillo 1 , Rodolfo A. Vargas‐Méndez 1 , Guadalupe Madrigal‐Espinosa 1 , Carlos‐M. Astorga‐Zaragoza 1
Affiliation
This article presents a generalized learning observer (GLO) design for the simultaneous estimation of states and actuator faults for polytopic quasi‐linear parameter varying systems. The proposed approach is based on the use of a GLO, which generalized the existing results on the proportional‐integral observers. Conditions of existence and stability of the observer are given through the stability analysis in the sense of Lyapunov. Its design is obtained in terms of a set of linear matrix inequalities. The performance of the proposed method is evaluated by simulation in a one‐link‐flexible joint robot system.
中文翻译:
基于广义学习观测器的准线性参数变化系统执行器故障估计
本文提出了一种通用学习观察器(GLO)设计,用于同时估计多主题准线性参数变化系统的状态和执行器故障。所提出的方法是基于使用GLO的,它可以将现有结果推广到比例积分观测器上。通过利雅普诺夫意义上的稳定性分析,给出了观察者的存在条件和稳定性。它的设计是根据一组线性矩阵不等式获得的。在单链柔性关节机器人系统中通过仿真评估了所提出方法的性能。
更新日期:2021-04-27
中文翻译:
基于广义学习观测器的准线性参数变化系统执行器故障估计
本文提出了一种通用学习观察器(GLO)设计,用于同时估计多主题准线性参数变化系统的状态和执行器故障。所提出的方法是基于使用GLO的,它可以将现有结果推广到比例积分观测器上。通过利雅普诺夫意义上的稳定性分析,给出了观察者的存在条件和稳定性。它的设计是根据一组线性矩阵不等式获得的。在单链柔性关节机器人系统中通过仿真评估了所提出方法的性能。