Table Of Content

Index to volume 1 (1991) Articles Critique of exact linearization strategies R. F. Hinde Jr. and D. J. Cooper 228- for process control 238 M. A. Henson and D. E. Seborg 122- January (pp1 — 56) 139 Multivariable control experiments of November (pp 241-296) non-linear chemical processes using Soft-sensors for process estimation and non-linear feedback transformation inferential control Interaction between process design and K. Nakamoto and N. Watanabe 140- M. T. Tham, G. A. Montague, A. J. process control: economic analysis of 145 Morris and P. A. Lant 3-14 process dynamics Robust control ofa batch-fed fermenter Comparison of single loop and QDMC- L. T. Narraway, J. D. Perkins and G. J. Bhat, M. Chidambaram and K. P. based control of crude oil distillation W. Barton 243-250 Madhavan 146-151 towers Improved state estimator in the face of Dissolved oxygen control through an L. Hsie and T. J. McAvoy 15-21 unreliable parameters adaptive non-linear model approach: a Modelling of a fixed-bed water-gas shift M. Agarwal and D. Bonvin 251-257 simulation study reactor 1. Steady-state model verifica- Process fault diagnosis with diagnostic J. R. Pérez-Correa, F. Lopez and I. tion rules based on structural decompo- Solar 152-160 N. H. Bell and T. F. Edgar 22-31 sition Interaction between process design and Order reduction of non-linear differen- J. Zhang and P. D. Roberts 259-269 process control: the role of open-loop tial algebraic process models An adaptive controller for batch feed indicators H.-P. Loffler and W. Marquardt 32-40 bioprocess application to lycine pro- Design of adaptive controllers for non- G. W. Barton, W. K. Chan and J. D. duction Perkins 161-170 linear stirred tank bioreactors: exten- J. M. Flaus, A. Cheruy and J. M. Robust control of a distillation column sion to the MIMO situation Engasser 271-281 D. Dochain 41-48 by the method of inequalities Further developments in output struc- E. S. Prabhu and M. Chidambaram Robust control of oscillations in iso- tural controllability and an assessment 171-176 thermal continuous stirred tank aero- of structural techniques sol reactors X. Lin and R. B. Newell 283—292 M. Chidambaram and Y. S. N. Mal- leswararao 49-54 August (pp 171-240) Keywords Calculation of steady-state gains for March (pp 57-120) multivariable systems from closed- Adaptive control Modelling of a fixed-bed water-gas shift loop steady-state data Batch feed reactor 2. Variable catalyst activity A. R. McIntosh and V. Mahalec 178- Lysine 271-281 effects and dynamic testing 186 Bioreactors N. H. Bell and T. F. Edgar 59-67 A robust/cautious model predictive con- Non-linear dynamics 41-48 Benefits from process control: results of a troller Mathematical models joint industry—university study K. P. Fruzzetti, A. Palazoglu, J. A. Parameter estimation 84-95 T. E. Marlin, J. D. Perkins, G. W. Romagnoli and K. A. McDonald 187- Model reference control Barton and M. L. Brisk 68-83 196 Pattern recognition 228-238 Adaptive control: theory and practical Advanced control ofa sugar crystallizer Non-linear algorithms aspects D. I. Wilson, P. L. Lee, E. T. White Models 152-160 K. Najim and M. M’Saad 84-95 and R. B. Newell 197-206 Batch feed On-line estimation and control of a con- Application of predictive control tech- Lysine tinuous stirred tank polymerization niques to a distillation column Adaptive control 271-281 D. G. Lewis, C. L. Evans and D. J. Batch processing reactor K. J. Kim and K. Y. Choi 96-110 Sandoz 207-216 Crystallization Human problems with computer control Model-based control of a blast furnace Kalman filter 197-206 in process plants stove rig Batch-fed reactor T. A. Kletz 111-115 G. A. Labossiere and P. L. Lee 217- Fermenter 227 Non-linear control 146-151 Adaptive process control using pattern- Bioreactors May (pp 121-176) based performance feedback Non-linear dynamics J. Proc. Cont. 1991, Vol 1, November 293 Index Adaptive control 41-48 Fermenter Adaptive control Blast furnace stove Non-linear control Mathematical models 84-95 Generic model control (GMC) Batch-fed reactor 146-151 Pattern recognition PID controller 217—227 Generic model control (GMC) Adaptive control Case studies PID controller Model reference control 228-238 Control benefits Blast furnace stove 217-227 PID controller Upgrading 68-83 Input-output linearization Blast furnace stove Catalyst activity Exact linearization strategies Generic model control (GMC) 217-— Non-linear dynamics 122-139 227 Mathematical modelling 59-67 Kalman filter Polymerization Closed loops Batch processing Model Steady-state gains Crystallization 197-206 Reactor 96-110 Multivariable systems 178-186 Linearization Predictive control Condition number Non-linear process Distillation column Singular value analysis Decoupling 140-145 Sampled data models 207-216 Controllability 161-170 Lysine Robustness Control Adaptive control Model 187-196 Feedback control Batch feed 271-281 Process design Oscillation 49-54 Mathematical modelling Economic performance Model Catalyst activity Modelling 243-250 Crude towers 15-21 Non-linear dynamics 59-67 Reactor Non-linear dynamics 22-31 Parameter estimation Polymerization Structural controllability Adaptive control 84-95 Model 96-110 Synthesis 283-292 Method of inequalities Reflux flow Control benefits Distillation columns Method of inequalities Upgrading Reflux flow 171-176 Distillation columns 171-176 Case studies 68-83 Model Robustness Controllability Crude towers Model Condition number Control 15-21 Predictive control 187-196 Singular value analysis 161-170 Non-linear Sampled data models Crude towers Dynamics 32-40 Predictive control Control Non-linear dynamics Distillation column 207-216 Model 15-21 Control 22-31 Sensors Crystallization Predictive control Estimation Kalman filter Robustness 187-196 Feedback control 3-14 Batch processing 197-206 Reactor Simulation Decoupling Polymerization 96-110 State estimation Linearization Model reference control Errors 251-257 Non-linear process 140—145 Pattern recognition Singular value analysis Diagazostic rules Adaptive control 228-238 Controllability Fault diagnosis Modelling Condition number 161—170 Expert systems 259-269 Process design State estimation Distillation column Economic performance 243-250 Errors Sampled data models Models Simulation 251—257 Predictive control 207-216 Adaptive control Steady-state gains Reflux flow Non-linear algorithms 152-160 Multivariable systems Method of inequalities 171-176 Multivariable systems Closed loops 178-186 Dynamics Closed loops Structural controllability Model Steady-state gains 178-186 Synthesis Non-linear 32-40 Non-linear Control 283-292 Economic performance Dynamics Synthesis Modelling Model 32-40 Control Process design 243-250 Non-linear algorithms Structural controllability 283-292 Errors Models Upgrading Simulation Adaptive control 152-160 Case studies State estimation 251-257 Non-linear control Control benefits 68-83 Estimation Batch-fed reactor Feedback control Fermenter 146-151 Sensors 3-14 Non-linear dynamics Authors Exact linearization strategies Adaptive control Input-output linearization 122-139 Bioreactors 41-48 Agarwal, M. 251-257 Expert systems Control Diagnostic rules Model 22-31 Barton, G. W. 68-83, 161-170, 243-250 Fault diagnosis 259-269 Mathematical modelling Bell, N. H. 22-31, 59-67 Fault diagnosis Catalyst activity 59-67 Bhat, J. 146-151 Expert systems Non-linear process Bonvin, D. 251-257 Diagnostic rules 259-269 Decoupling Brisk, M. L. 68-83 Feedback control Linearization 140-145 Chan, W. K. 161-170 Oscillation Oscillation Cheruy, A. 271-281 Control 49-54 Control ChidambaramM,. Sensors Feedback control 49-54 49-54, 146-151, 171-176 Estimation 3-14 Parameter estimation Choi, K. Y 96-110 294 J. Proc. Cont. 1991, Vol 1, November Index Cooper, D. J. 228-238 Mahalec, V. 178-186 Solar, I. 152-160 49-54 Dochain, D. 41-48 MMaarllliens,w arT.a raE., Y. S. N 68-83 Tham, M. T. 3-14 Edgar, T. F. 22-31, 59-67 Marquardt, W. 32-40 Engasser, J. M. 271-281 McAvoy, T. J. 15-21 Watanabe, N. 140-145 Evans, C. L. 207-216 McDonald, K. A. 187-196 White, E. T. 197-206 FFrluazuzse,t tJi., M.K. P. 217817--218916 MMMocorInrntitasog,su heA,,. AJG... RA.. 178-331--811644 WZihlasnogn,, JD. . I. 215997--226096 Henson, M. A. 122-139 M’Saad, M. 84-95 Hinde Jr., R. F. 228-238 Najim, K. 84-95 Hsie, L. 15-21 140-145 Nakamoto, K. Kim, K. J. 96-110 Narraway, L. T. 243-250 Book reviews Kletz, T. A. 111-115 Newell, R. B. 197-206, 283-292 LLLLLLoeiaaefnenbwf,,toil ,sse ,sXrP i.,.P e .Dr L.He.A. , .- G P..G . A. 197-206, 2222111085777323-----2322221--22196417762004 PPPPRReaéroarlrabmkaeebaizrzhgnot-usngsC,,ol,o lu r,iJErP ,..e. D a AS.,.D.J .. JA..6 8R-.8 3, 161-170, 221111458578397217------221111569679060966 CMMouonlCCdBtt..aeri nrovMMknlascc r GGiCarrSobeeynlsaatetvvr eoyymFl se e21Sd31yE9b7sn atgceikmn se eDrebisyni ggJ .n Ab.by y BoJS..r rMiP.e. Lopez, F. Sandoz, D. J. 207-216 Maciejowski Madhavan, K. P. 146-151 Seborg, D. E. 122-139 J. Perkins 55 J. Proc. Cont. 1991, Vol 1, November 295