Home  |   Login  |   Logout  |   Access Information  |   Alerts  |   Purchase History  |   Cart  |   Sitemap  |   Help   
 
Abstract
BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT
arrow_leftView TOC
Email/Printer Friendly Format  
 

Multi-model neural network IMC
Xin-Yu Wen   Jing-Gang Zhang   Zhi-Cheng Zhao   Li-Qun Liu  
Dept. of Autom., Taiyuan Heavy Machinery Inst., China;

This paper appears in: Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Publication Date: 26-29 Aug. 2004
Volume: 6,  On page(s): 3370- 3374 vol.6
ISSN:
ISBN: 0-7803-8403-2
INSPEC Accession Number: 8254296
Current Version Published: 2005-01-24

Abstract
Aiming at the practical plants with strong nonlinear characteristics, this paper proposes multi-model IMC control strategies based on GPF networks. The internal model and internal model controller represented by GPF networks and the mean of model switch are developed. Simulation demonstrates the validity of this method.

Index Terms
Available to subscribers and IEEE members.

References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
You are not logged in.
Guests may access Abstract records free of charge.
Login
Username
Password
» Forgot your password?
Please remember to log out when you have finished your session.
You must log in to access:
• Advanced or Author Search
• CrossRef Search
• AbstractPlus Records
• Full Text PDF
• Full Text HTML
Access this document
Full Text: PDF (580 KB)
» Buy this document now
»  Learn more about
»  Learn more about
    purchasing articles
    and standards

Rights and Permissions
» Learn More
Download this citation
Available to subscribers and IEEE members.
 
arrow_leftView TOC   |  Back to toparrow_up
Indexed by IEE Inspec
© Copyright 2009 IEEE – All Rights Reserved