Advances in Model-Based Predictive Control - Rilegato

Rilegato

ISBN 10: 0198562926 ISBN 13: 9780198562924

Casa editrice: OUP Oxford, 1994

Riassunto

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.

Su questo libro

Recensione

The book will be of interest to both researchers and designers, and control engineers. (Aslib Book Guide, Vol.59, no. 11, Nov 1994)

Contenuti

• 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

Dettagli dell'edizione

• Editore: OUP Oxford
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 0198562926
• ISBN 13: 9780198562924
• Rilegatura: Copertina rigida
• Numero di pagine: 548
• Redattore: Clarke David
• Contatto del produttore: Oxford University Press; https://corp.oup.com/; ; WMF Platz 1; Geislingen/Steige; Baden-W?rttemberg; 73312; Germania