NDLI: Multiloop nonlinear IMC strategy design under PLS framework using ARX-neural network model

Content Provider	IEEE Xplore Digital Library
Author	Bin Hu Zhengshun Fei Zhao Zhao Jun Liang
Copyright Year	2010
Description	Author affiliation: Institute of Industrial Control, Zhejiang University, Hangzhou, China (Bin Hu; Zhengshun Fei; Zhao Zhao; Jun Liang)
Abstract	A novel multi-loop nonlinear Internal Model Control (IMC) strategy is developed for MIMO systems under the Partial Least Squares (PLS) framework, which automatically decomposes the MIMO process into several univariate systems in the latent space. The ARX-neural network (ARX-NN) model is incorporated in the PLS subspace and identified via optimizing two parameter sets so that the plant-model mismatch is minimized. The cascaded mode of ARX-neural network model facilitates the parameters estimation in the process identification, as well as nonlinear IMC design. With perfect modeling, the nonlinear closed-loop system can be reduced to IMC robust filter with a system pure delay factor under the proposed nonlinear IMC scheme. By tuning the IMC filter, the robust property of the control system is adjusted to account for the model-plant mismatch, and the offset free performance is obtained through perfectly inverting the steady-state gain of the model. The simulation result of pH neutralization process demonstrated the effectiveness of the proposed approach in disturbance rejection and tracking performance.
Starting Page	3554
Ending Page	3559
File Size	869951
Page Count	6
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5553873
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Mathematical model Artificial neural networks Computational modeling Heuristic algorithms Nonlinear dynamical systems Process control ARX-NN model plant-model mismatch nonlinear IMC scheme pH neutralization process offset free
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