Nonlinear Model Predictive Control: Progress in Systems and Control Theory, cartea 26
Editat de Frank Allgöwer, Alex Zhengen Limba Engleză Paperback – 5 noi 2012
The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 953.52 lei 6-8 săpt. | |
Birkhäuser Basel – 5 noi 2012 | 953.52 lei 6-8 săpt. | |
Hardback (1) | 959.98 lei 6-8 săpt. | |
Birkhäuser Basel – mar 2000 | 959.98 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783034895545
ISBN-10: 3034895542
Pagini: 488
Ilustrații: IX, 472 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.68 kg
Ediția:Softcover reprint of the original 1st ed. 2000
Editura: Birkhäuser Basel
Colecția Birkhäuser
Seria Progress in Systems and Control Theory
Locul publicării:Basel, Switzerland
ISBN-10: 3034895542
Pagini: 488
Ilustrații: IX, 472 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.68 kg
Ediția:Softcover reprint of the original 1st ed. 2000
Editura: Birkhäuser Basel
Colecția Birkhäuser
Seria Progress in Systems and Control Theory
Locul publicării:Basel, Switzerland
Public țintă
ResearchCuprins
I Theoretical Issues in Nonlinear Predictive Control.- Stability and Robustness of Nonlinear Receding Horizon Control.- Nonlinear Model Predictive Control: Challenges and Opportunities.- Nonlinear Horizon State Estimation.- Predictive Control of Constrained Hybrid Systems.- Stability, Feasibility, Optimality and the Degrees of Freedom in Constrained Predictive Control.- A Predictive Command Governor for Nonlinear Systems under Constraints.- Some Practical Issues and Possible Solutions for Nonlinear Model Predictive Control.- Nonlinear Model Predictive Control for Index-one DAE Systems.- Analytical Predictive Control.- Integrating Predictive and Switching Control: Basic Concepts and an Experimental Case Study.- Exploring the Potentiality of Using Multiple Model Approach in Nonlinear Model Predictive Control.- Continuous-time Predictive Control of Constrained Nonlinear Systems.- II Modelling and Computational Aspects in Nonlinear Predictive Control.- Efficient Solution of Dynamic Optimization and NMPC Problems.- A Direct Multiple Shooting Method for Real-time Optimization of Nonlinear DAE Processes.- Modeling and Identification for Nonlinear Model Predictive Control: Requirements, Current Status and Future Research Needs.- Structural Concepts for Optimization Based Control of Transient Processes.- Efficient Nonlinear Modeling Using Wavelet Compression.- Iterative Active-set Method for Efficient On-line MPC Design.- Nonlinear Predictive Control Algorithms with Different Input Sequence Parametrizations Applied for the Quadratic Hammerstein and Volterra Models.- Nonlinear Model Predictive Control Based on Stable Wiener and Hammerstein Models.- III Applications of Nonlinear Predictive Control.- An Overview of Nonlinear Model Predictive Control Applications.- Multi-zone Control under Enterprise Optimization: Needs, Challenges and Requirements.- Nonlinear Model Predictive Control of a Styrene Polymerization Reactor.- Nonlinear Multi-rate MPC with Large Scale Fundamental Models: Application to a Continuous Kamyr Digester.- Multivariable Control of Cement Mills.- Nonlinear Receding Horizon Control of Internal Combustion Engines.- Performance and Computational Implementation of Nonlinear Model Predictive Control on a Submarine.
Recenzii
"[A] skillfully assembled and thoroughly reviewed collection of papers…containing some of the latest developments in a rapidly developing area…. To conclude, to anybody interested in nonlinear predictive control, the collection of papers edited by Frank Allgöwer and Alex Zhang is a good starting point. To anybody working on nonlinear predictive control, the collection is a source of inspiration and [a] gold mine of problems." —Control and Cybernetics