SSQP for the solution of large-scale dynamic-economic optimization problems

Computers and Chemical Engineering

Volumn 23, Issue SUPPL. 1, 1999, Pages

  van der Schor, J J ^a   Tousain, R L ^a   Backx, A C P M ^b   Bosgra, O H ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b AspenTech Europe bv   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

PERSONAL COMPUTERS; QUADRATIC PROGRAMMING;

DIFFERENTIAL ALGEBRAIC EQUATIONS; DYNAMIC OPTIMIZATION; ECONOMIC OPTIMIZATION; LARGE-SCALE DYNAMICS; OBJECTIVE FUNCTIONS; OPTIMAL GRADE TRANSITION; OPTIMIZATION ALGORITHMS; SEQUENTIAL QUADRATIC PROGRAMMING;

DIFFERENTIAL EQUATIONS;

EID: 4243826421     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(99)80125-2     Document Type: Conference Paper

References (10)

1. Bailey, J.K. and Hrymak, A.N. and Treiber, S.S. and Hawkins, R.B., 1993, Nonlinear optimization ofa hydrocracker fractionation plant, Compo Chem. Eng., 17, pp. 123-138.
2. Biegler, L.T., 1984, Solution of dynamic optimization problem by successive quadratic progranuning and orthogonal collocation, Camp. Chem. Eng., 8, pp. 243-248.
3. Li, W.C., Biegler, L.T. Economou, C.G. and Morari, M., 1990, A constrained pseudo-Newton control strategy for nonlinear systems, Compo Chem. Eng. 14, pp. 451-468.
4. More, U., 1983, Recent developments in algorithms and software for trust region methods, in: Mathematical Programming: the state of the art, A. Bachem, M. Grotschel and B. Korte (eds). Berlin, 1983, Springer Verlag, pp. 258-287.
5. Mujtaba, Iqbal M. and Macchietto, Sandro, 1997, Efficient optimization ofbatch distillation with chemical reaction using polynomial curve fitting techniques, Ind. Eng. Chem. Res., 36, pp. 2287-2295.
6. Perregaard, J. and Sarensen, E.L., 1992, Simulation and optimization of chemical processes: numerical and computational aspects, CompoChem. Eng., 16 (Suppl.), pp. S247-254
7. Steren, S. and Herzberg, T., 1995, The sequential linear quadratic programming algorithm for solving dynamic optimization problems - a review, Camp. Chem. Eng., 19 (Suppl.), pp. S495-S500.
8. Qin, Joe S. and Badgwell, Thomas A., 1996, An overview of industrial Model Predictive Control Technology. in: Preprints CPC-v, Lake Tahoe, USA.
9. Van der Schot, J.J., 1998, A practical approach to dynamic-economic optimization and control of industrial processes, M.Sc. report WBMT/MES& dA886, Delft University ofTechnology, Netherlands.
10. Vassiliadis, V., 1993, Computational solution of dynamic optimization problems with general differential-algebraic constraints, Ph.D. dissertation, Imperial College of Science, London.