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Advances in Model-Based Predictive Control
Edited by David Clarke
548 pages
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numerous line illustrations
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246x189mm
978-0-19-856292-4
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Hardback
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05 May 1994
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This item is printed to order. Items which are printed to order are normally despatched and charged within 5-10 days.
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- This has become a `hot' topic both commercially and in academic circles
- Contributors include the top names in this field
- Very timely and up-to-date - as based on a meeting in September 1993
In the classic example of a steam engine governor an increase in speed immediately results in a decrease in steam supplied, so slowing the engine. In many instances there is a considerable lag between the corrective action (decrease in steam) and resumption of the correct state. For example, the output of a base chemical plant may take minutes or even hours to respond to pressure of temperature changes imposed on the plant. In these cases predictive control is required. Without a detailed running history of the chemical plant (in this example) it is then necessary to use model-based predictive control (rather than experience based predictive
control).
This book is devoted to all aspects of Model-Based Predictive Control, including new developments in the theory of the subect and current applications of MBPC to real processes. Topics included are: algorithm developments, industrial applications, and comparison with other approaches.Readership: Academic and (importantly) industrial researchers and practitioners.
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Edited by David Clarke, Professor of Control Engineering, Department of Engineering Science, University of Oxford
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"The book will be of interest to both researchers and designers, and control engineers." - Aslib Book Guide, Vol.59, no. 11, Nov 1994
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D.W. Clarke: Advances in model-based predictive control
J. Richalet, C. de Prada, & M. Sanzo: Matching the uncertainty of the model given by global identification techniques to the robustness of a model-based predictive controller
G. de Nicolaom & R. Scattolini: Stability and output terminal constraints in predictive control
K.M. Hangos, Zs. Csaki, & E.I. Varga: Use of qualitative models for the choice of design parameters of model-based predictive controllers
G. Montague, & M.J. Willis: Artificial neural network model-based control
Y. Tan, & R. de Keyser: Neural network based adaptive predictive control
D. Matko: Fuzzy generalized predictive controller
S. Lall, & K. Glover: A game theoretic approach to moving horizon control
M. Karny, & A. Halouskova: Pre-tuning of self-tuners
L. Chisei, & E. Mosca: Stabilizing predictive control: the singular transition-matrix case
T.-W. Yoon: Robust adaptive predictive control
H. Demircioglu: Continuous-time generalised predictive control (CGPC): Implementation issues
A. Ordys: Evaluation of stochastic characteristics for a constrained GPC algorithm
M.B. Zarrop, & J.J. Troyas: Model-based predictive control for two-dimensional dynamic processes
K. Dadd, & P. Krauss: Model-based predictive controller with Kalman filtering for state estimation
J. Taylor, P.C. Young, & A. Chotai: On the relationship between GPC and PIP controllers
C. de Prada, & J. Serrano: A comparative study of GPC and DMC controllers
A.P. de Madrid, M. Santos, S. Dormido, & F. Morilla: Constrained generalized predictive control with dynamic programming
J.C. Allwright: Min-max model-based predictive control
M. Morari: Stability and robustness of constrained model predictive control
M. Alamir, & G. Bornard: New sufficient conditions for global stability of receding horizon control for discrete-time nonlinear systems
L. Kershenbaum, D.Q. Mayne, R. Pytlak, & R.B. Vinter: Nonlinear model-based predictive control
S. Sommer: Model-based predictive control methods based on non-linear and bilinear parametric system descriptions
V. Balakrishnan, Z.Q. Zheng, & M. Morari: Stability results for constrained model predictive control
P.O. Scokaert: Stability in constrained predictive control
S.A. Heise, & J.M. Maciejowski: Stability of constrained MBPC using an internal model control structure
C.M. Chow: Actuator nonlinearities in predictive control
J.A. Rossiter, & B. Kouvaritakis: Advances in constrained generalized predictive control with application to a dynamometer model
A.G. Kuznetsov: Application of constrained GPC for improving performance of controlled plants
D.A. Linkens, & M. Mahfouf: Generalised predictive control in clinical anaesthesia
E.P. Evans, & R. Harpin: Modelling control in a large water treatment works
F. Berlin, & P.M. Frank: Design and realization of a MIMO predictive controller for a 3-tank system
K. Warwick, & E. Kassapakis: Predictive control for target tracking
D. Dumur, & P. Boucher: Predictive control application in the machine-tool field
E. Camacho: Application of GPC to a solar power plant
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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