Robust stability of moving horizon estimation for non-linear systems with bounded disturbances using adaptive arrival cost

被引：7
|
作者：
Deniz, Nestor [1 ]
Murillo, Marina [1 ]
Sanchez, Guido [1 ]
Giovanini, Leonardo [1 ]
机构：
[1] Ciudad Univ UNL, Res Inst Signals Syst & Computat Intelligence, FICH, Ruta Nac 168,Km 472-4,4to Piso, RA-3000 Santa Fe, Argentina
来源：
IET CONTROL THEORY AND APPLICATIONS | 2020年 / 14卷 / 18期
关键词：
discrete time systems; nonlinear control systems; robust control; closed loop systems; asymptotic stability; transfer functions; estimation methods; robust stability; horizon estimation; bounded disturbances; adaptive arrival cost; moving horizon estimator; nonlinear detectable systems; robust global asymptotic stability; vanishing disturbances; estimator behaviour; DISCRETE-TIME-SYSTEMS; STATE ESTIMATION;
D O I：
10.1049/iet-cta.2019.0523
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The robust stability and convergence to the true state of a moving horizon estimator based on an adaptive arrival cost are established for non-linear detectable systems in this study. Robust global asymptotic stability is shown for the case of non-vanishing bounded disturbances, whereas the convergence to the true state is proved for the case of vanishing disturbances. Two simulations were made to show the estimator behaviour under different operational conditions and to compare it with the state of the art of estimation methods.
引用
收藏
页码：2879 / 2888
页数：10
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