Generalized predictive control for a pneumatic system based on an optimized ARMAX model with an artificial neural network

CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...

Volumn , Issue , 2006, Pages

  Song, Qiang ^a   Liu, Fang ^b,c   Findlay, Raymond D ^b,c  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b IEEE

^c MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PNEUMATIC CONTROL EQUIPMENT;

ARMAX MODELS; GENERALIZED PREDICTIVE CONTROL (GPC) ALGORITHMS; LEVENBERG-MARQUARDT METHOD;

PREDICTIVE CONTROL SYSTEMS;

EID: 38849122107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2006.111     Document Type: Conference Paper

References (6)

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2. D. W. Clarke, C. Mohtadi and P.S. Tuffs, "Generalized Predictive Control Part 1: The Basic Algorithm, Part 2: Extensions and Interpretations", Automatica, 1987, 23(2), pp. 137-160
3. Q. Song, F. Liu, "The Direct Approach to Unified GPC Based on ARMAX/CAREVIA/CARMA Model and Application for Pneumatic Actuator Control", Proceedings of the first International Conference on Innovative Computing, Information and Control, 2006, Beijing, in press
4. M. Nergaard, O. Ravn, N.K. Poulsen and L. K. Hansen, Neural Networks for Modelling and Control of Dynamic Systems, Springer, 2000
5. K. E. Vugrin, On the effects of noise on parameter identification optimization problems, PhD thesis, Virginia Polytechnic Institute and State University, 2005
6. W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, Numerical Recierpes in C-The Art of Scientific Computing, 2nd edition, Cambridge University Press, 1992