Advanced Control of Chemical Processes (ADCHEM '94)

Part 1 Modelling and simulation I: systematic techniques for determining modelling requirements for SISO and MIMO feedback control problems, D.E. Rivera and S.V. Gaikwad; dynamic simulation for integrated design and control of process flowsheets, Jianping Gong and R. Gani. Part 2 Modelling and simulation II: low order empirical modelling for nonlinear systems, B.A. Ogunnaike et al; bilinear identification of nonlinear processes, J.F. Bartee and C. Georgakis. Part 3 Nonlinear control and optimization I: on-line schedule optimization for mixed-batch/continuous plant, V.J. Terpstra et al; efficient computation of batch reactor control profiles under parametric uncertainty, D. Ruppen et al. Part 4 Knowledge-based and model-based control I: a genetic algorithm for MIMO feedback control system design, D.R. Lewin; poster papers I - model validation test, A. Yoneya et al; identification of combined physical and empirical models using nonlinear a priori knowledge, A.H. Kemna and D.A. Mellichamp; tutorial paper - nonlinear model predictive control - a tutorial and survey, J.B. Rawlings et al; survey paper - the process industry requirements of advanced control techniques - challenges and opportunities, R.S. Benson. Part 5 Nonlinear control and optimization II: nonlinear predictive control using local models - applied to a batch process, B.A. Foss et al. Part 6 Modelling and simulation III: dynamics and stability of polymerization process flowsheets using POLYRED, I. Hyanek et al; operation support system using dynamic simulation for a combined batch/continuous plant, H. Deguchi et al. Part 7 Nonlinear control and optimization III: a trust region strategy for newton-type process control, N.M.C. de Oliveira and L.T. Biegler; a practical approach to approximate input/output linearization, F.J. Doyle. Part 8 Knowledge-based and model-based control II: fuzzy based control of a distillation plant start-up, M. Bahar et al; derivation of fuzzy rules for parameter free PID gain tuning, J.S. Baras and N.S. Patel; poster papers II - a comparison of deductive and inductive models for product quality estimation, M. Hillestad and G.O. Nesvik; extraction of operating signatures by episodic representation, T. Fujiwara et al; tutorial paper - statistical process control of multivariate processes, J.F. MacGregor. Part 9 Statistical control techniques I: predictive maintenance using PCA, D.R. Lewin and Y. Harmaty; autoassociative neural networks in bioprocess condition monitoring, J. Glassey et al. Part 10 Modelling and simulation IV: III-conditionedness and process directionality - the use of condition numbers in process control, J.B. Waller et al; controllability analysis of SISO systems, S. Skogestad. Part 11 Nonlinear control and optimization IV: elementary nonlinear decoupling control of composition in binary distillation columns, J.G. Balchen and B. Sandrib; (Part contents).