Radial basis function based iterative learning control for stochastic distribution systems

IEEE International Symposium on Intelligent Control - Proceedings

Volumn , Issue , 2006, Pages 100-105

  Wang, Hong ^a,c,d   Afshar, Puya ^b,c  

^a IEEE

^b IEE ^*

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

^d NORTHEASTERN UNIVERSITY   (China)

Author keywords

Iterative learning mechanism; Probability density functions; RBF neural networks; Stochastic systems

Indexed keywords

DISTRIBUTION SYSTEMS; ITERATIVE LEARNING CONTROL; STOCHASTIC SYSTEMS;

APPROXIMATION THEORY; DISTRIBUTION FUNCTIONS; ITERATIVE METHODS; LEARNING SYSTEMS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION;

RADIAL BASIS FUNCTION NETWORKS;

EID: 39549108407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIC.2006.285585     Document Type: Conference Paper

References (23)

1. A. Arimoto, S. Kawamura and F. Miyazaki, "Bettering Operation of Robots by Learning", J. of Robotic Systems, 1984,pp. 123-140.
2. Z. Bien, K.M. Huh, "High-order Iterative learning control algorithm", IEE Proc.-D, Control Theory and Applications, 1989, Vol. 136, pp. 105-112.
3. H. F. Chen, H. T. Fang, "Output Tracking for Non-linear stochastic systems by iterative leaning control," IEEE Trans.on Aut. Control, vol. 49, No.4, pp. 583-588, April 2004.
4. H. S. Cho, J. S. Chung, and W. Y. Lee, "Control of molecular weight distribution for polyethylene catalyzed over Ziegler-Natta/Metallocene hybrid and mixed catalysts". J. Molecular Catalysis A: Chemical, Vol. 159, Issue 2, pp. 203-213, Oct. 2000.
5. T. J. Crowley and K. Y. Choi, "Experimental studies on optimal molecular weight distribution control in a batch-free radical polymerization process", Chemical Engineering Science, Vol. 53, Issue 15, pp. 2769-2790 .august 1998.
6. F. J. Doyle, III, C. A. Hartison, and T. J. Crowley, "Hybrid model-based approach to batch-to-batch control of particle size distribution in emulsion polymerization", Computers & Chemical Engineering, Vol. 27, Issues 8-9, pp. 1153-1163, September 2003.
7. C. A. Dunbar and A. J. Hickey, "Evaluation of probability density functions to approximate particle size distribution of representative pharmaceutical aerosols", J. Aerosol Science, Vol.31, Iss.7, pp. 813-831, July 2000.
8. C. Ham, Z.H. Qu, J. Kaloust, "A new framework of learning control for a class of nonlinear systems", Proc. ACC '95, pp. 3024-3028.
9. D.H. Hwang, Z. Bien, S.R. Oh, "Iterative Learning Control Method for discrete-time dynamic systems", IEE Proc.-D, 1991, Vol. 138, No.2, pp. 139-144.
10. C. D. Immanuel and F. J. Doyle III, "Open-loop control of particle size distribution in semi-batch emulsion copolymerization using a genetic algorithm", Chemical Engineering Science, Vol. 57, Issue 20, pp. 4415-4427, October 2002.
11. K. Lee, J. H. Lee, D. R. Yang and A. W. Mahoney, "Integrated run-to-run and on-line model-based control of particle size distribution for a semi-batch precipitation reactor", Computers & Chemical Engineering, Vol. 26, Issues 7-8, pp. 1117-1131, August 2002.
12. S.-R. Oh, Z. Bien, I.H. Suh, "An Iterative Learning control method with application for the Robot Manipulator", IEEE J. Robotics and Automation, 1988, Vol. 4, No.5, pp. 508-514.
13. M.Q. Phan, JA. Frueh, "Learning Control for Trajectory Tracking Using Basis Functions", Proceedings of the IEEE CDC'96, Kobe, Japan, 1996. pp. 2490-2492.
14. M.Q. Phan, JA. Frueh, "Linear Quadratic Optimal Learning Control (LQL)", Proceedings of the 3 7th IEEE CDC '98, December 1998.
15. D. Shi, N. H. El-Farra, M. Li, P. Mhaskar, "Predictive control of particle size distribution in particulate processes", Chemical Engineering Science, Vol. 61, Issue 1, pp. 268-281, January 2006.
16. Y. Shibasaki, T. Araki, R. Nagahata and M. Ueda, "Control of molecular weight distribution in poly-condensation polymers 2. Poly(ether ketone) synthesis" European Polymer Journal, Vol. 41, Issue 10, pp. 2428-2433 , October 2005.
17. G. A. Smook, Handbook for Pulp and Paper Technology, Vancouver, Angus Wilde Publication Inc., 1992.
18. M. Vicente, C. Sayer, J. R. Leiza, G. Arzamendi, E. L. Lima, J. C. Pinto and J. M. Asua, "Dynamic optimization of non-linear emulsion copolymerization systems: Open-loop control of composition and molecular weight distribution", Chemical Engineering, Vol. 85, Issues 2-3, pp. 339-349, January 2002.
19. H. Wang, "Control of the Output probability density functions for a class of nonlinear stochastic systems", Proc.IFAC Workshop on algorithms and architectures for real-time control. 1998, pp.95-99.
20. H. Wang, "Robust Control of the Output probability density functions for multivariable stochastic systems with guaranteed stability", IEEE Trns. Aut. Control, 1999, Vol. 44, pp. 2103-2107.
21. H. Wang, "Bounded Dynamic Stochastic Systems: Modelling and Control", 2000, London: Springer-Verlag Ltd.
22. H. Yue, H. Wang, "Recent Developments in Stochastic Distribution Control: A Review", Measurement and Control, 2003, Vol. 36, pp. 209-215.
23. H. Wang, J.F. Zhang, H.Yue, "Iterative Learning Control of Output PDF Shaping in Stochastic Systems", Proc. IEEE International Symposium on intelligent Control, 2005, pp. 1225-1230.