Nonsmooth recursive identification of sandwich systems with backlash-like hysteresis
type: Item
instance of: scholarly article
title: Nonsmooth recursive identification of sandwich systems with backlash-like hysteresis
zbMATH Open document ID: 1251.93131
DOI: 10.1155/2012/457603
author: Ruili Dong
author: Hui Chen
author: Yangqiu Xie
author: Yonghong Tan
published in: Journal of Applied Mathematics
publication date: 2012-11-15T00:00:00Z
review text: Summary: A recursive gradient identification algorithm based on the bundle method for sandwich systems with backlash-like hysteresis is presented in this paper. In this method, a dynamic parameter estimation scheme based on a subgradient is developed to handle the nonsmooth problem caused by the backlash embedded in the system. The search direction of the algorithm is estimated based on the so-called bundle method. Then, the convergence of the algorithm is discussed. After that, simulation results on a nonsmooth sandwich system are presented to validate the proposed estimation algorithm. Finally, the application of the proposed method to an \(X\)-\(Y\) moving positioning stage is illustrated.
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 6106217
zbMATH Keywords: recursive gradient identification algorithm
zbMATH Keywords: bundle method
zbMATH Keywords: sandwich systems
Wikidata QID: Q58905912
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/457603
OpenAlex ID: W2038342525
cites work: Recursive identification method for MISO Wiener-Hammerstein model
cites work: Identification of linear systems with hard input nonlinearities of known structure
cites work: Recursive identification algorithm for dynamic systems with output backlash and its convergence
cites work: Comparing nonsmooth nonconvex bundle methods in solving hemivariational inequalities
cites work: Q4226179
DBLP publication ID: journals/jam/DongTCX12
description: scientific article; zbMATH DE number 6106217