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
相关论文
共 50 条
  • [1] Robust Stability of Moving Horizon Estimation Under Bounded Disturbances
    Ji, Luo
    Rawlings, James B.
    Hu, Wuhua
    Wynn, Andrew
    Diehl, Moritz
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (11) : 3509 - 3514
  • [2] Nonlinear moving horizon estimation for systems with bounded disturbances
    Mueller, Matthias A.
    2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 883 - 888
  • [3] Robust adaptive L∞-gain neural filtering for non-linear systems in the presence of bounded disturbances
    Wu, H. -N.
    Li, H. -X.
    IET CONTROL THEORY AND APPLICATIONS, 2011, 5 (04): : 630 - 639
  • [4] Adaptive arrival cost update for improving Moving Horizon Estimation performance
    Sanchez, G.
    Murillo, M.
    Giovanini, L.
    ISA TRANSACTIONS, 2017, 68 : 54 - 62
  • [5] Nonlinear Moving Horizon Estimation: Adaptive Arrival Cost with Prescribed Conditioning Number
    Deniz, Nestor
    Sanchez, Guido
    Murillo, Marina
    Benavidez, Jesus
    Giovanini, Leonardo
    2021 XIX WORKSHOP ON INFORMATION PROCESSING AND CONTROL (RPIC), 2021,
  • [6] Simultaneous moving horizon estimation and control for nonlinear systems subject to bounded disturbances
    Deniz, Nestor
    Sanchez, Guido
    Murillo, Marina
    Giovanini, Leonardo
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (13) : 7811 - 7830
  • [7] Input-to-state stability of contractive EMPC of non-linear systems with bounded disturbances
    He Defeng
    Qiu Tianxiang
    Lu Liangye
    IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (05): : 651 - 658
  • [8] Robust Moving Horizon State Estimation for Uncertain Linear Systems using Linear Matrix Inequalities
    Georgiou, Anastasis
    Tahir, Furqan
    Evangelou, Simos A.
    Jaimoukha, Imad M.
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 2900 - 2905
  • [9] Approximation of Arrival Cost in Moving Horizon Estimation Using a Constrained Particle Filter
    Lopez-Negrete, Rodrigo
    Patwardhan, Sachin C.
    Biegler, Lorenz T.
    10TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, 2009, 27 : 1299 - 1304
  • [10] Adaptive rejection of non-linear disturbances in extended non-linear output feedback systems
    Xi, Zairong
    Ding, Zhengtao
    INTERNATIONAL JOURNAL OF CONTROL, 2008, 81 (09) : 1417 - 1423
12345