........ published in NEWSLETTER # 55
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........ published in NEWSLETTER # 55
METHODS OF MODEL BASED PROCESS CONTROL
by Professor R. Berber, University, Ankara (Turkey)
Brought about by significant developments in academia and industry, model based control has emerged as an important means for improving plant efficiency in process industries while meeting process, operating policy and environmental constraints. Model based control involves strategies that use a process model to predict the future behaviour of the process outputs and to calculate the control effort whilst optimizing a performance objective and recognizing operational constraints. The feedback is provided by taking the current measurements into account.
This volume (NATO ASI SERIES E293) contains the proceedings of the NATO Advanced Study Institute of Model Based Process Control held in Antalya (Turkey), in August 1994. The Institute was intended to review the most recent advances in model based process control so as to foster continuing research, and to encourage innovative applications of this technology. It achieved its goal by bringing together some of the world's leading scientists. The high scientific level of presentations covered both a comprehensive assessment of past efforts and a clear view of future needs and challenges in the area.
The book is, therefore, the state-of-the-art in model based process control technology, presented by world-leading scientists and recognized experts from industry. All the issues of importance that model based control system address, ranging from dynamic simulation and control-relevant identification to information integration, and emerging specific topics such as robust control and nonlinear model predictive control are covered in depth. In addition to the critical review of recent advances, one can find new ideas, industrial applications and views for future needs and challenges.
The material in this volume is arranged in six parts covering the major themes presented at the Institute: i) Process modeling, dynamics and identification, ii) Robust process control, iii) Advances in model predictive control, iv) Nonlinear model predictive control, v) Industrial applications, and vi) Fuzzy control. The book can serve as a reference for a graduate level course, and is a comprehensive guide for researchers and industrial control engineers to explore the latest trends in the field.
Reference books: E225, E293, F21, F120