Iterative learning control of output PDF shaping in stochastic systems

Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05

Volumn 2005, Issue , 2005, Pages 1219-1224

  Wang, H ^b   Zhang, J F ^c   Yue, H ^a,b  

^a IEEE

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NUMERICAL METHODS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION;

B-SPLINE MODELING; CONTROL STRATEGY; ITERATIVE LEARNING CONTROL; NON-GAUSSIAN STOCHASTIC SYSTEMS;

STOCHASTIC CONTROL SYSTEMS;

EID: 33745196473     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/.2005.1467189     Document Type: Conference Paper

References (27)

1. T. J. Crowley E. S. Meadow, E. Kostoulas and F. J. Doyle III, "Control of Particle Size Distribution Described by a Population Balance Model of Semibatch Emulsion Polymerisation", in Journal of Process Control, 2000, Vol. 10, pp. 419-432.
2. J. Flores-Cerrillo and J. F. MacGregor, "Control of Particle Size Distributions in Emulsion Semibatch Polymerization Using Mid-course Correction Polices", in Industrial and Engineering Chemistry Research, 2002, Vol. 41, pp. 1805-1814.
3. C. D. Immanuel and F. J. Doyle III, "Open-loop Control of Particle Size Distribution on Semi-batch Emulsion Copolymerisation Using a Genetic Algorithm", in Chemical Engineering Science, 2002, Vol. 57, pp. 4415-4427.
4. T. L. Clarke-Pingle and J. F. MacGregor, "Optimization of Molecular Weight Distribution Using Batch-to-Batch Adjustments", in Industrial and Engineering Chemistry Research, 1998, Vol. 37, pp. 3660-3669.
5. A. Echevarria, J. R. Leiza, J. C. de la Cal and J. M. Asua, "Molecular Weight Distribution Control in Emulsion Polymerization", in American Institute of Chemical Engineers Journal, 1998, Vol. 44, pp. 1667-1679.
6. M. Vincente, S. BenAmor, L. M. Gugliotta, J. R. Leiza and J. M. Asua, "Control of Molecular Weight Distribution in Emulsion Polymerization Using On-line Reaction Calorimetry", in Industrial and Engineering Chemistry Research, 2001, Vol. 40, pp. 218-227.
7. R. D. Braatz, "Advanced Control of Crystallization Process", in Annual Reviews in Control, 2002, Vol. 26, pp. 87-99.
8. R. A. Eek and O. H. Bosgra, "Controllability of Particulate Processes in Relation to the Sensor Characteristics", in Powder Technology, 2000, Vol. 108, pp. 137-146.
9. H. J. Gommeren, D. A. Heitzmann, J. A. C. Moolenaar and B. Scarlett, "Modeling and Control of a Jet Mill Plant", in Power Technology, 2000, Vol. 108, pp. 147-154.
10. D. L. Ma, D. K. Tafti and R. D. Braatz, "Optimal Control and Simulation of Multidimensional Crystallization Processes", in Computers and Chemical Engineering, 2002, Vol. 26, pp. 1103-1116.
11. G. A. Smook, Handbook for Pulp and Paper Technologists, Vancouver: Angus Wilde Publications Inc., 1992.
12. H. Wang, Bounded Dynamic Stochastic Systems: modelling and Control, London: Springer-Verlag Ltd, 2000.
13. H. Yue and H. Wang, "Recent Developments in Stochastic Distribution Control: A Review", in Measurement and Control, 2003, Vol. 36, pp. 209-215.
14. H. Wang, "Control of the Output Probability Density Functions For a Class of Nonlinear Stochastic Systems",in Proc. of the IFAC Workshop on Algorithms and Architectures for Real-time Control, Cancun, Mexico, April 15-17, 1998, pp. 95-99.
15. H. Wang, "Robust Control of the Output Probability Density Functions For Multivariable Stochastic Systems With Guaranteed Stability", in IEEE Transactions on Automatic Control, 1999, Vol. 44, pp. 2103-2107.
16. A. Arimoto, S. Kawamura and F. Miyazaki, "Bettering Operation of Robots by Learning", in Journal of Robotic Systems, 1984, vol. 1, pp. 123-140.
17. M.X. Sun and B. J. Huang, Iterative learning control, Guofanggongye Publishing company China, ISBN 7-118-01990-9/TP.353, 1999.
18. Z. Fang, Z.Z. Han and P.N. Chen, "The new evolution in iterative learning control", in Control theory and application, vol. 19, no. 2, pp. 161-166, 2002.
19. J. X. Xu and Y. Tan, Linear and Nonlinear Iterative Learning Control, Lecture Notes in Control and Information Science, 291, Springer-Verlag, Germany, 2003 ISBN 3-540-40173-3.
20. J. X. Xu and Y. Tan, "Robust optimal design and convergence properties analysis of iterative learning control approaches", in Automatica, 2002, vol. 38, no. 11, pp. 1687-1880.
21. Y. P. Tian and X. Yu, "Robust learning control for a class of nonlinear systems with periodic and aperiodic uncertainties", in Automatica, 2003, no.39, pp. 1957-1966.
22. J. X. Xu, V. Badrinath and Z. H. Qu, "Robust learning control for robotic manipulators with an extension to a class of non-linear systems", in International Journal of Control(special issue on ILC), 2000, vol. 73, no. 10, pp. 858-870.
23. Z. Bien, and K. M. Huh, "High-order iterative learning control algorithm", in IEE Proceedings, Part-D, Control Theory and Applications, 1989, no. 136, pp. 105-112.
24. G. Svante and N. Mikael, "On the design of ILC algorithms using optimization", in Automatic, 2001, no. 37, pp. 2011-2016.
25. C. Ham, Z. H. Qu and J. Kaloust, "A new framework of learning control for a class of nonlinear systems," in Proceedings of the American Control Conference, 1995, pp. 3024-3028.
26. H. Yue, J. F. Zhang and L.L. Cao, "Shaping of molecular weight distribution using B-spline based predictive probability density function control", in Proceedings of the American Control Conference, 2004, pp. 3587-3592.
27. L.L. Cao and H. Yue, "Modeling and control of molecular weight distribution for a poly-condensation process", in Proceedings of the IEEE International Symposium on Intelligent control, 2004, pp. 137-142.