Et Al Analysis And Control Of Nonlinear Process Systems

E-Book Overview

Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of the their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features: · The necessary mathematical preliminaries for readers from a process engineering background. · Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation. · The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught. · Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases. · Illustration of applications with simple examples and case studies. Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas.

E-Book Content

Analysis and Control of Nonlinear Process Systems K.M. Hangos J. Bokor G. Szederkényi Springer Advanced Textbooks in Control and Signal Processing Springer London Berlin Heidelberg New York Hong Kong Milan Paris Tokyo Series Editors Professor Michael J. Grimble, Professor of Industrial Systems and Director Professor Michael A. Johnson, Professor of Control Systems and Deputy Director Industrial Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Graham Hills Building, 50 George Street, Glasgow G1 1QE, U.K. Other titles published in this series: Genetic Algorithms: Concepts and Designs K.F. Man, K.S. Tang and S. Kwong Neural Networks for Modelling and Control of Dynamic Systems M. Nørgaard, O. Ravn, N.K. Poulsen and L.K. Hansen Modelling and Control of Robot Manipulators (2nd Edition) L. Sciavicco and B. Siciliano Fault Detection and Diagnosis in Industrial Systems L.H. Chiang, E.L. Russell and R.D. Braatz Soft Computing L. Fortuna, G. Rizzotto, M. Lavorgna, G. Nunnari, M.G. Xibilia and R. Caponetto Statistical Signal Processing T. Chonavel Translated by Janet Ormrod Discrete-time Stochastic Systems (2nd Edition) T. Söderström Parallel Computing for Real-time Signal Processing and Control M.O. Tokhi, M.A. Hossain and M.H. Shaheed Multivariable Control Systems P. Albertos and A. Sala Control Systems with Input and Output Constraints A.H. Glattfelder and W. Schaufelberger Model Predictive Control (2nd edition) E. F. Camacho and C. Bordons Publication due April 2004 Active Noise and Vibration Control M.O. Tokhi Publication due October 2004 Principles of Adaptive Filters and Self-learning Systems A. Zaknich Publication due June 2005 K.M. Hangos, J. Bokor and G. Szederkényi Analysis and Control of Nonlinear Process Systems With 42 Figures 13 K.M. Hangos, PhD, DSci J. Bokor, PhD, DSci G. Szederkényi, PhD Systems and Control Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, H-1516 Budapest, PO Box 63, Kende u. 13-17,
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