Contraction theory based observer for a biochemical process

Sayanti Chatterjee, S. Sadhu, T. K. Ghosal
{"title":"Contraction theory based observer for a biochemical process","authors":"Sayanti Chatterjee, S. Sadhu, T. K. Ghosal","doi":"10.1109/INDCON.2010.5712726","DOIUrl":null,"url":null,"abstract":"This contribution reports the design of state estimator for a nonlinear process using the recently proposed contraction analysis approach. Although the contraction based stability analysis for nonlinear systems is now an accepted tool for analyzing control systems with uncertain parameters, application of this technique for designing nonlinear state estimator is fairly recent and still evolving. The contraction analysis based estimator design method is briefly outlined before applying the method for a biochemical process, for which existing literature indicates the use of traditional nonlinear observers. A comparative study of estimator performance between an extended Luenberger observer based state estimation and the contraction observer has been reported. Results of simulation show that state estimation using contraction observer is better than that of the classical one.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Annual IEEE India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDCON.2010.5712726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This contribution reports the design of state estimator for a nonlinear process using the recently proposed contraction analysis approach. Although the contraction based stability analysis for nonlinear systems is now an accepted tool for analyzing control systems with uncertain parameters, application of this technique for designing nonlinear state estimator is fairly recent and still evolving. The contraction analysis based estimator design method is briefly outlined before applying the method for a biochemical process, for which existing literature indicates the use of traditional nonlinear observers. A comparative study of estimator performance between an extended Luenberger observer based state estimation and the contraction observer has been reported. Results of simulation show that state estimation using contraction observer is better than that of the classical one.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于收缩理论的生化过程观测者
本文报告了用最近提出的收缩分析方法设计非线性过程的状态估计器。尽管基于收缩的非线性系统稳定性分析现在是分析具有不确定参数的控制系统的一种公认的工具,但将这种技术应用于设计非线性状态估计器是最近的事情,而且还在不断发展。在将基于收缩分析的估计器设计方法应用于生化过程之前,简要概述了该方法,现有文献表明该方法使用传统的非线性观测器。本文报道了基于扩展Luenberger观测器的状态估计和基于收缩观测器的估计器性能的比较研究。仿真结果表明,利用收缩观测器进行状态估计的效果优于经典观测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An efficient technique for protein classification using feature extraction by artificial neural networks Coordinated design of excitation and TCSC-based stabilizers for multimachine power system Estimation of the resonant frequency and magnetic polarizability of an edge coupled circular split ring resonator with rotated outer ring Realization of ultra wideband bandpass filter using new type of split-ring Defected Ground Structure Double-Pole Four-Throw RF CMOS switch design with double-gate transistors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1