An adaptive model free control design and its applications

2nd IEEE International Conference on Industrial Informatics, INDIN'04

Volumn , Issue , 2004, Pages 243-248

  Han, Zhi Gang ^a,b   Yu, Xinghuo ^a,c  

^a IEEE   (Australia)

^b HEILONGJIANG UNIVERSITY   (China)

^c RMIT UNIVERSITY   (Australia)

Author keywords

Learning; Modeling; Process control; Real time; Stability

Indexed keywords

LEARNING; REAL-TIME;

INTELLIGENT CONTROL; PROBLEM SOLVING; PROCESS CONTROL;

CONTROL SYSTEMS;

EID: 28444482124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Bequette, B. W., Process Control: Modelling, Design and Simulation, Prentice-Hall, London, 2003
2. Han Z.-G., Jian A.-P, Wang H.-Q., Adaptive Identification, Prediction and Control - A Multi Level Recursive Approach. Harbin Heilongjiang Education Publishing House, 1995, (in Chinese)
3. Han Z.-G., Qin B., Direct Adaptive Control for Nonlinear Systems. Systems Analysis Modeling Simulation, 1997, 28:301-315 (in Chinese)
4. Han Z.-G., Design Problem of Model Free Controller Control Engineering of China, 2002, 9(3): 19-22, (in Chinese)
5. Han Z.-G. Non-Modeling Adaptive Controller and Identification of Its Important Parameter. Control Theory and Applications Suppl, 1999,145-148, (in Chinese)
6. Han Z.-G. The Application of Model Free Controller Control Engineering of China, 2002 9(4): 22-25, (in Chinese)
7. Middleton, R. H., Goodwin, G. C., Digital Control and Estimation: A Unified Approach, Prentice-Hall, 1990
8. Xu, J.-X., The frontiers of iterative learning control. Journal of Systems, Control and Information, 46(2): 63-73, 2002
9. Yu X. and J. Kacprzyk (Editors), Applied Decision Support with Soft Computing, Studies in Fuzziness and Soft Computing, vol. 124, Springer, 2003