Mixed parametric/non-parametric identification of systems with discontinuous nonlinearities

被引：7

作者：

Vincent, Tyrone L. ^{[1
]}

Novara, Carlo ^{[2
]}

机构：

[1] Colorado Sch Mines, Dept Elect Engn & Comp Sci, Golden, CO 80401 USA

[2] Politecn Torino, Dipartimento Automat & Informat, Turin, Italy

来源：

AUTOMATICA | 2013年 / 49卷 / 12期

关键词：

System identification; Nonlinear systems; Discontinuities; Regularization;

D O I：

10.1016/j.automatica.2013.09.022

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 subject of this paper is identification of discrete time nonlinear dynamical systems when the system dynamics are defined by a discontinuous nonlinear function with the location of the discontinuity unknown. By representing the nonlinear function using both a parametric term to capture the continuous part and a non-parametric term to capture the discontinuous part, we present an identification algorithm along with conditions for recovery of the true nonlinearity. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：3661 / 3669

页数：9

共 50 条

[41] Quantifying the cost of simultaneous non-parametric approximation of several samples [J].

Davies, P. L. ;

Kovac, A. .

ELECTRONIC JOURNAL OF STATISTICS, 2009, 3 :747-780

[42] Tracking rapidly changing dynamical systems using a non-parametric statistical method based on wavelets [J].

Ching, JN ;

Glaser, SD .

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2003, 32 (15) :2377-2406

[43] Physics enhanced sparse identification of dynamical systems with discontinuous nonlinearities [J].

Lathourakis, Christos ;

Cicirello, Alice .

NONLINEAR DYNAMICS, 2024, 112 (13) :11237-11264

[44] Improved (non-)parametric identification of dynamic systems excited by periodic signals [J].

Pintelon, R. ;

Barbe, K. ;

Vandersteen, G. ;

Schoukens, J. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (07) :2683-2704

[45] Oxygen uptake response to switching stairs exercise by non-parametric modeling [J].

Yu, Hairong ;

Zhang, Chenyu ;

Cao, Kai ;

Alqudah, Hamzah M. ;

Weidong Su, Steven .

CONTROL THEORY AND TECHNOLOGY, 2024, 22 (01) :56-68

[46] Non-parametric Optimization Using Subspace-Based Objective Functions [J].

Aloisio, Angelo ;

Cirella, Riccardo ;

Fragiacomo, Massimo ;

Alaggio, Rocco .

CIVIL STRUCTURAL HEALTH MONITORING, CSHM-8, 2021, 156 :339-357

[47] A method for non-parametric damage detection through the use of neural networks [J].

Nakamura, M ;

Masri, SF ;

Chassiakos, AG ;

Caughey, TK .

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 1998, 27 (09) :997-1010

[48] Incorporating noise modeling in dynamic networks using non-parametric models [J].

Galrinho, Miguel ;

Everitt, Niklas ;

Hjalmarsson, Hakan .

IFAC PAPERSONLINE, 2017, 50 (01) :10568-10573

[49] Kernel based approaches to local nonlinear non-parametric variable selection [J].

Bai, Er-wei ;

Li, Kang ;

Zhao, Wenxiao ;

Xu, Weiyu .

AUTOMATICA, 2014, 50 (01) :100-113

[50] Design of a completely model free adaptive control in the presence of parametric, non-parametric uncertainties and random control signal delay [J].

Tutsoy, Onder ;

Barkana, Duygun Erol ;

Tugal, Harun .

ISA TRANSACTIONS, 2018, 76 :67-77

← 1 2 3 4 5 →