H∞ State and Parameter Estimation for Lipschitz Nonlinear Systems

被引:0
|
作者
Alvarado-Mendez, Pedro Eusebio [1 ]
Astorga-Zaragoza, Carlos M. [1 ]
Osorio-Gordillo, Gloria L. [1 ]
Aguilera-Gonzalez, Adriana [2 ]
Vargas-Mendez, Rodolfo [1 ]
Reyes-Reyes, Juan [1 ]
机构
[1] Tecnol Nacl Mexico, CENIDET, Interior Internado Palmira S-N, Cuernavaca 62490, Morelos, Mexico
[2] Univ Bordeaux, ESTIA Inst Technol, F-64210 Bidart, France
关键词
adaptive observer; nonlinear system; Lipschitz nonlinearities; ADAPTIVE-OBSERVER DESIGN; FAULT; DISTURBANCE;
D O I
10.3390/mca29040051
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A H-infinity robust adaptive nonlinear observer for state and parameter estimation of a class of Lipschitz nonlinear systems with disturbances is presented in this work. The objective is to estimate parameters and monitor the performance of nonlinear processes with model uncertainties. The behavior of the observer in the presence of disturbances is analyzed using Lyapunov stability theory and by considering an H-infinity performance criterion. Numerical simulations were carried out to demonstrate the applicability of this observer for a semi-active car suspension. The adaptive observer performed well in estimating the tire rigidity (as an unknown parameter) and induced disturbances representing damage to the damper. The main contribution is the proposal of an alternative methodology for simultaneous parameter and actuator disturbance estimation for a more general class of nonlinear systems.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems
    Houska, Boris
    Logist, Filip
    Diehl, Moritz
    Van Impe, Jan
    IDENTIFICATION FOR AUTOMOTIVE SYSTEMS, 2012, 418 : 67 - +
  • [42] Adaptive nonlinear observer for state and unknown parameter estimation in noisy systems
    Vijayaraghavan, Krishna
    Valibeygi, Amir
    INTERNATIONAL JOURNAL OF CONTROL, 2016, 89 (01) : 38 - 54
  • [43] Joint estimation of state, parameter, and unknown input for nonlinear systems: A composite estimation scheme
    Wang, Licheng
    Luo, Qi
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (18) : 9519 - 9537
  • [44] Nonlinear parameter estimation of excitation systems
    Bhaskar, R
    Crow, ML
    Ludwig, E
    Erickson, KT
    Shah, KS
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (04) : 1225 - 1231
  • [45] Distributed Entire State Estimation and Consensus Control for Lipschitz Nonlinear Multi-Agent Systems
    Li, Yan
    Huang, Jiazhu
    Lv, Yuezu
    Zhou, Jialing
    2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024, 2024, : 443 - 448
  • [46] Parameter estimation methods for nonlinear systems
    Li, Junhong
    Ding, Rui
    APPLIED MATHEMATICS AND COMPUTATION, 2013, 219 (09) : 4278 - 4287
  • [47] A Method on Parameter Estimation of Nonlinear Systems
    Horio, Makoto
    Moriomto, Jiro
    Tabuchi, Toshiaki
    2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7, 2008, : 1004 - 1007
  • [48] Parameter estimation for additive nonlinear systems
    Chen Jing
    Ding Rui
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 1762 - 1766
  • [49] Parameter set estimation for nonlinear systems
    Hurtig, J
    Yurkovich, S
    PROCEEDINGS OF THE 33RD SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2001, : 275 - 280
  • [50] An input-to-state stable model predictive control framework for Lipschitz nonlinear parameter varying systems
    Menezes Morato, Marcelo
    Elias Normey-Rico, Julio
    Sename, Olivier
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (17) : 8239 - 8272