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This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.
Three important areas of process dynamics and control: chemical reactors, distillation columns and batch processes are the main topics of discussion and evaluation at the IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD '95). This valuable publication was produced from the latest in the series, providing a detailed assessment of developments of key technologies within the field of process dynamics and control.
The batch distillation process has existed for many centuries. It is perhaps the oldest technology for separating or purifying liquid mixtures and is the most frequently used separation method in batch processes. In the last 25 years, with continuous development of faster computers and sophisticated numerical methods, there have been many published works using detailed mathematical models with rigorous physical property calculations and advanced optimisation techniques to address several important issues, such as selection of column configurations, design, operation, off-cut recycling, use of batch distillation in reactive and extractive modes, etc.Batch Distillation: Design and Operation presents excellent, important contributions of many researchers from around the globe, including those of the author and his co-workers./a
This volume contains 40 papers which describe the recent developments in advanced control of chemical processes and related industries. The topics of adaptive control, model-based control and neural networks are covered by 3 survey papers. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several papers. The problem of implementation of control algorithms on a digital computer is also considered.