Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function

Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function

This paper is concerned with the identification of linear parameter varying (LPV) systems by utilizing a multimodel structure. To improve the approximation capability of the LPV model, asymmetric Gaussian weighting functions are introduced and compared with commonly used symmetric Gaussian functions...

Full description

Bibliographic Details
Main Authors: Jie You, Jiangang Lu, Yucai Zhu, Qinmin Yang, Jianhua Zhu, Jiangyin Huang, Youxian Sun
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/840628
id doaj-9c9ec88f30c14cbca83a6fcb7f884587
record_format Article
spelling doaj-9c9ec88f30c14cbca83a6fcb7f8845872020-11-24T23:19:46ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/840628840628Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting FunctionJie You0Jiangang Lu1Yucai Zhu2Qinmin Yang3Jianhua Zhu4Jiangyin Huang5Youxian Sun6State Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, ChinaDepartment of Automation, Xiamen University, Xiamen 361005, ChinaState Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, ChinaThis paper is concerned with the identification of linear parameter varying (LPV) systems by utilizing a multimodel structure. To improve the approximation capability of the LPV model, asymmetric Gaussian weighting functions are introduced and compared with commonly used symmetric Gaussian functions. By this mean, locations of operating points can be selected freely. It has been demonstrated through simulations with a high purity distillation column that the identified models provide more satisfactory approximation. Moreover, an experiment is performed on real HVAC (heating, ventilation, and air-conditioning) to further validate the effectiveness of the proposed approach.http://dx.doi.org/10.1155/2013/840628
collection DOAJ
language English
format Article
sources DOAJ
author Jie You
Jiangang Lu
Yucai Zhu
Qinmin Yang
Jianhua Zhu
Jiangyin Huang
Youxian Sun
spellingShingle Jie You
Jiangang Lu
Yucai Zhu
Qinmin Yang
Jianhua Zhu
Jiangyin Huang
Youxian Sun
Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
Journal of Applied Mathematics
author_facet Jie You
Jiangang Lu
Yucai Zhu
Qinmin Yang
Jianhua Zhu
Jiangyin Huang
Youxian Sun
author_sort Jie You
title Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
title_short Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
title_full Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
title_fullStr Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
title_full_unstemmed Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
title_sort identification of multimodel lpv models with asymmetric gaussian weighting function
publisher Hindawi Limited
series Journal of Applied Mathematics
issn 1110-757X
1687-0042
publishDate 2013-01-01
description This paper is concerned with the identification of linear parameter varying (LPV) systems by utilizing a multimodel structure. To improve the approximation capability of the LPV model, asymmetric Gaussian weighting functions are introduced and compared with commonly used symmetric Gaussian functions. By this mean, locations of operating points can be selected freely. It has been demonstrated through simulations with a high purity distillation column that the identified models provide more satisfactory approximation. Moreover, an experiment is performed on real HVAC (heating, ventilation, and air-conditioning) to further validate the effectiveness of the proposed approach.
url http://dx.doi.org/10.1155/2013/840628
work_keys_str_mv AT jieyou identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
AT jianganglu identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
AT yucaizhu identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
AT qinminyang identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
AT jianhuazhu identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
AT jiangyinhuang identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
AT youxiansun identificationofmultimodellpvmodelswithasymmetricgaussianweightingfunction
_version_ 1725577005801406464

Similar Items