Intelligent manufacturing of polymers

Computers and Chemical Engineering

Volumn 20, Issue SUPPL.2, 1996, Pages

  Kiparissides, C ^a   Morris, J ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL REACTORS; MATHEMATICAL MODELS; MULTIVARIABLE CONTROL SYSTEMS; ONLINE SYSTEMS; OPERATIONS RESEARCH; POLYMERS; PROCESS CONTROL;

CONTROL STRATEGY;

INTELLIGENT CONTROL;

EID: 0029712721     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(96)00193-7     Document Type: Article

References (14)

1. Achillas, D.S. and Kiparissides, C. (1992), Toward the development of a general framework for modeling molecular weight and compositional changes in free-radical copolymerization reactions, J.M.S.-Rev. Macromol. Chem. Phys. 632(2), 183-234
2. Bequette, B.W. (1991), Nonlinear control of chemical processes: A review, Ind. Eng. Chem. Res. 30, 1391-1413
3. Bhat, N., Minderman, P. and McAvoy, T.J. (1989), Use of neural nets for modelling of chemical process systems, Proceed. IFAC Symp. Dycord 89, Maastricht, The Netherlands, pp. 147-153
4. Biegler, L.T. (1984), Solution of dynamic optimization problems by successive quadratic programming and orthogonal collocation, Comput. Chem. Engin. 8, 243
5. Chien, D.C.H. and Penlidis, A. (1990), On-line sensors for polymerization reactors, JM.S.-Rev. Macromol. Chem. Phys. C30(1), 1-42
6. Cooper, D.J., Megan, L. and Hinde, R.F. (1992), Comparing two neural networks for pattern based adaptive process control, A.I.Ch.E. J. 38, 41-55
7. Cybenko, G. (1989), Approximation by superpositions of a sigmoidal function, Math. Control Signal Systems 2, 303-314
8. Eaton, J.W. and Rawlings, J.B. (1992), Model-predictive control of chemical processes, Chem. Eng. Sci. 47, 705-720
9. Hunt, K.I., Sbarbaro, D., Zbikowski, R. and Gawthrop, P.J. (1992), Neural networks for control systems-A survey, Automatica 28, 1083-1112
10. Mayne, D.,Q., (1995) Optimization in model predictive control in "Methods of Model Based Process Control", Edited by R. Berber, Kluwer Academic Publishers, pp. 367-396.
11. Meadows, E.S. and Rawlings, J.B., (1995), Topics in model predictive control in "Methods of Model Based Process Control", Edited by R. Berber, Kluwer Academic Publishers, pp. 331-347.
12. Ray, W.H. (1986), Modelling of polymerization phenomena, Ber. Bunsengesellshaft Phy. Chem. 90, 947-955
13. Wang, Z., Tham, M.T. and Morris, A.J. (1992), Multilayer feedforward neural networks: Canonical form approximation of nonlinearity, Int. J. Control 56, 655-672
14. Willis, MJ., Di Massimo, C., Montague, G.A., Tham, M.T. and Morris, A.J. (1991), On neural networks in chemical process control, Proc. IEE 138, 256-266