NDLI: Benchmark operating points determining method of operating trajectory LPV model based on gap metric

Content Provider	IEEE Xplore Digital Library
Author	Hua Shen Jun Zhao Zuhua Xu
Copyright Year	2012
Description	Author affiliation: Institute of Industrial Control of Zhejiang University, Hangzhou, 310027, China (Hua Shen; Jun Zhao; Zuhua Xu)
Abstract	A Linear parameter varying model(LPV) is such a model structure which is featured by its linear model structure and varying model parameters. It uses several so called local linear models on equilibrium points or operating points and their corresponding nonlinear weight functions to describe the highly nonlinear dynamics of industrial process during the whole operating range. However, a universal criterion of selecting appropriate basic operating points and their local linear model has not been given. In this paper, a operating trajectory LPV model identification method based on a nonlinearity measurement called gap metric. The first step to implement this proposed method is selecting several operating points and their corresponding local linear model identified by plant test and linear identification method according to the operating trajectory of scheduling variable. Then, we compute the gap metric between any two linear models and divide the operating range. At last, several linear models in all subspaces are chosen to make up the operating points linear model set. By implementing the proposed method into the operating range dividing and model set determining of CSTR, the simulation results shows that the proposed method can get a reduced linear model set which can approximate the dynamics of CSTR well.
Starting Page	1972
Ending Page	1977
File Size	883918
Page Count	6
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Measurement gap metric Computational modeling Linear Parameter Varying Operating space dividing Predictive models Benchmark testing Trajectory Mathematical model Chemical reactors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Model predictive control of a wind turbine based on linear parameter-varying models

Linear Parameter Varying Identification of Freeway Traffic Models

Nonlinear model predictive control based on Hammerstein piecewise linear models

Expected I-cache miss rates via the gap model

Subspace identification of an aircraft linear parameter-varying flutter model

H∞-based LPV model identification from local experiments with a gap metric-based operating point selection

Linear parameter-varying modeling and control of structural dynamics with aerothermoelastic effects.

Model Predictive Control for Linear Parameter Varying Systems Using Parameter Dependent Lyapunov Function

Analysis of linear parameter varying system models based on reachable sets (2001)

Benchmark operating points determining method of operating trajectory LPV model based on gap metric

Similar Documents

Model predictive control of a wind turbine based on linear parameter-varying models

Linear Parameter Varying Identification of Freeway Traffic Models

Nonlinear model predictive control based on Hammerstein piecewise linear models

Expected I-cache miss rates via the gap model

Subspace identification of an aircraft linear parameter-varying flutter model

H∞-based LPV model identification from local experiments with a gap metric-based operating point selection

Linear parameter-varying modeling and control of structural dynamics with aerothermoelastic effects.

Model Predictive Control for Linear Parameter Varying Systems Using Parameter Dependent Lyapunov Function

Analysis of linear parameter varying system models based on reachable sets (2001)

Benchmark operating points determining method of operating trajectory LPV model based on gap metric