Preface. Part I: Process Modeling, Dynamic Simulation and Identification. Towards a Process Modeling Technology; W. Marquardt. Numerical Methods for the Simulation of Differential-Algebraic Process Models; W. Marquardt. Process Identification Techniques; S. Saelid. Input/Output Modeling for Process Control; T. R. Holcomb, C. A. Rhodes, M. Morai. Part II: Robust Process Control. Frequency Domain Methods for Analysis and Design - I. H-Infinity Methods and Robust Control; S. Skogestad. Frequency Domain Methods for Analysis and Design - II. Input-Output Controllability Analysis of SISO Systems; S. Skogestad. Mp Tuning and Synthesis; M. Laiseca, C. B. Brosilow. Robust Control of Linear Time-Varying Systems with Constraints; A. Zheng, M. Morai. New Results on Robust Controller Design for Chemical Processes; A. Palazogammalu, J. A. Romagnoli. Analysis and Synthesis Methods for Robust Model Predictive Control; H. Genceli, P. Vuthandam, M. Nikolaou. Attainable Performance in LQG Control; B. Lie. Part III: Advances in Model Predictive Control. State-Space Interpretation of Model Predictive Control; J. H. Lee, M. Morari, C. E. Garcia. Topics in Model Predictive Control; E. S. Meadows, J. B. Rawlings. Nonlinear Moving Horizon State Estimation; K. R. Muske, J. B. Rawlings. Optimization in Model Predictive Control; D. Q. Mayne. Internal Model Predictive Control; E. Coulibaly, S. Maiti, C. B. Brosilow. Adaptive Model Predictive Control; M. V. Le Lann, M. Cabassud, G. Casamatta. Control of Batch Reactors: A Review; R. Berber. Real-Time Optimization and Model-Based Control of Polymer Reactors; C. Kiparissides, E. Papadopoulos, J. Morris. Part IV: Nonlinear Model Predictive Control. Control of Nonlinear Systems Using Input&endash;Output Information; Y. Arkun, E. Hernández. A Stability Analysis of Nonlinear Model Predictive Control; P. B. Sistu, B. W. Bequette. The Design of Nonlinear Predictive Controllers: Application to a Drug Infusion System; R. S. Gopinath, B. W. Bequette. Nonlinear Model Predictive Control Using Neural Net Plant Models; A. Draeger, S. Engell. Part V: Industrial Applications. An Industrial Perspective on the Evolution of Control Technology; C. R. Cutler. Modular Multivariable Control of the Shell Heavy Oil Fractionator; T. L. Chia, C. B. Brosilow. An Industrial Implementation of a Model Based Control Strategy; J. L. Figueroa, O. E. Agamennoni, G. W. Barton, J. A. Romagnoli, J. B. Lear. Model Predictive Control of a Gas&endash;Oil&endash;Water Separator Train; S. Stokke, S. Strand, D. Sjong. Integrating Information, Management and Control in Process Industries; C. Han, G. Stephanopoulos. Part VI: Fuzzy Control. Fuzzy Control &endash; An Alternative to Model-Based Control? S. Engell, T. Heckenthaler. Self-Learning Model-Based Fuzzy Controller; B. E. Postlethwaite. Fuzzy Control of Distillation Columns with and without Side Streams; C. Remberg, G. Fieg, G. Wozny, F. N. Fett. Appendices. I: Titles of Poster Presentations. II: Some Views of the Contributors about the Discussed Issues and Research Directions. III: Summary of the Control Research Presented at the Institute: A Cartoon Representation; B. W. Bequette. IV: Keeping with the Tradition: