Presents reports on recent industrial applications, experiences and advances in the use of adaptive and self-tuning control in chemical and related processes. Material covered includes new, practically orientated adaptive control algorithms as well as the control of various chemical plants such as distillation columns, chemical reactors, drying and bleaching plants, plastic extruders and wastewater neutralization plants. Contains 34 papers.
This book deals with monitoring and control of biotechnological processes. Different methods are proposed which are based on the nonlinear structure of the process and do not require any a priori knowledge of the fermentation parameters. The theoretical stability and convergence properties of the proposed algorithms are analysed and their performances are illustrated by simulation results and, in many instances, by real life experiments. The concept of software sensors is introduced; these are algorithms based on the nonlinear model of the process and designed for on-line estimation of the biological variables and/or the fermentation parameters. In order to deal with process nonstationarities and parameter uncertainties, reference is made to adaptive estimation and control techniques.The book is the result of an intensive joint research effort by the authors during the last decade. It is intended as a graduate level text for students of bioengineering as well as a reference text for scientists and engineers involved in the design and optimization of bioprocesses.
The workshop brought together international experts in the field of robust adaptive control to present recent developments in the area. These indicated that the theory of adaptive control is moving closer to applications and is beginning to give realistic guidelines useful in practical situations. The proceedings also focused on the value of such practical features as filtering, normalization, deadzones and unification of robust control and adaptation.
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.
Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.
Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series
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.
Adaptive Tuning Methods of the Foxboro I/A System; The Exploitation of Adaptive Modelling in the Model Predictive Control Environment of Connoisseur; Adaptive Predictive Regulatory Control with BrainWave; Model-Free Adaptive Control; Expert-Based Adaptive Control -- ControlSoft's INTUNE Adaptive and Diagnostic Software; KnowledgeScape, an Object-oriented Real-time Adaptive Modeling and Optimization Expert Control System for the Process Industries.
The Second Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 12-16, 1988. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process control, and in turn improve understanding of the nature of the control problems. The book covers topics such as automatic tuning and adaptive control; an operator control theory approach to the shell standard control problem; discrete time-adaptive predictive control; and the designing of a control system. Also included are topics such as optimal control and model identification; fundamental process control; statistical process control; and interfaces with process control. The text is recommended for researchers and practitioners in the field of engineering who would like to know more about process control and modeling.
Richard Fox Chairman, Scientific Programme Committee Between 25th and 29th September, 1988, 243 people who either apply or research the use of computers in fermentation gathered together at Robinson College, Cambridge, UK. They came from 30 countries. The conference brought together two traditions. Firstly, it continued the series on Computer Applications in Fermentation Technology (ICCAFT) inaugurated by Henri Blanchere in Dijon in 1973 and carried forward in Philadelphia and Manchester. Secondly, it brought the expertise of the many members of the International Federation of Automatic Control (IFAC), who focused their attention on biotechnology at Noordwijkerhout in the Netherlands in December, 1985. I am happy to say that the tradition carries on and a successor meeting will hopefully take place in the USA in 1991. If you find these proceedings useful or stimulating, then we hope to see you there. We set out to make ICCAFT4 a close-knit friendly conference. We housed all who cared to in Robinson College itself and organised no parallel sessions. Because we, the organisers, experience difficulty with the jargon of our colleagues from other disciplines, we asked Bruce Beck to present a breakfast tutorial on modern control and modelling techniques, and we set up informal panel discussions after dinner on two evenings. Neville Fish chaired a forum on the microbiological principles behind models, while Professors Derek Linkens and Ron Leigh led a discussion on expert systems in control.
