Applied Predictive Control

Author: Sunan Huang
Publisher: Springer Science & Business Media
ISBN: 1447137256
Size: 25.47 MB
Format: PDF, Docs
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Three main schemes for advanced predictive control are addressed in this book: • Smith Predictive Control; • Generalised Predictive Control; • a form of predictive control based on Finite Spectrum Assignment.

Predictive Control Of Power Converters And Electrical Drives

Author: Jose Rodriguez
Publisher: John Wiley & Sons
ISBN: 1119942640
Size: 60.70 MB
Format: PDF, ePub, Mobi
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This book will help electrical, electronics and control engineers, R&D engineers, product development engineers working in power electronics and drives, and industry engineers of power conversions and motor drives.

Applied Predictive Modeling

Author: Max Kuhn
Publisher: Springer Science & Business Media
ISBN: 1461468493
Size: 65.67 MB
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Wiley–Interscience. Ahdesmaki M, Strimmer K (2010). “Feature Selection in
Omics Prediction Problems Using CAT Scores and False Nondiscovery Rate
Control.” The Annals of Applied Statistics, 4(1), 503–519. Alin A (2009). “
Comparison of PLS Algorithms when Number of Objects is Much Larger than
Number of Variables.” Statistical Papers, 50, 711–720. Altman D, Bland J (1994).
“Diagnostic Tests 3: Receiver Operating Characteristic Plots.” British Medical
Journal, 309(6948), 188.

Model Predictive Control

Author: Eduardo F. Camacho
Publisher: Springer Science & Business Media
ISBN: 0857293982
Size: 68.63 MB
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Identification and Constrained Multivariable Predictive Control of Chemical
Reactors. In 4th IEEE Conference on Control Applications, Albany, pages 663–
664, 1995. 8. P. Ansay and V. Wertz. Model Uncertainties in GPC: A Systematic
Two-step Design. In Proceedings of the 3rd European Control Conference,
Brussels, 1997. 9. M.R. Arahal, M. Berenguel, and E.F. Camacho. Neural
Identification Applied to Predictive Control of a Solar Plant. Control Engineering
Practice, 6:333–344, ...

Model Based Predictive Control

Author: J.A. Rossiter
Publisher: CRC Press
ISBN: 135198859X
Size: 44.46 MB
Format: PDF, ePub, Mobi
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The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.

Pid And Predictive Control Of Electrical Drives And Power Converters Using Matlab Simulink

Author: Liuping Wang
Publisher: John Wiley & Sons
ISBN: 1118339479
Size: 66.14 MB
Format: PDF, Kindle
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In the third set of experimental results, the gain scheduled predictive control
system is compared with the predictive control system designed using a single
model. The results show that when a single predictive controller is applied to the
three operating regions, there is a performance loss due to the modeling errors.
Figures 9.16(a)–9.16(b) show the output responses when the linear model
obtained at ω0m = 1600 RPM is applied to entire operating regions. It is obvious
that the ...

Model Predictive Control On Open Water Systems

Author: Peter-Jules van Overloop
Publisher: IOS Press
ISBN: 9781586036386
Size: 35.34 MB
Format: PDF, ePub
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ln the previous chapters, the theory of controlled water systems and the various
Model Predictive Control configurations are described. The question remains,
what control method has to be selected given the objective of the water
management and the characteristics and constraints of the water system? To
support the selection of the appropriate control method, a procedure is
developed, that can be used as an expert system. The procedure is the result of
the knowledge gained in this ...

Computationally Efficient Model Predictive Control Algorithms

Author: Maciej Lawrynczuk
Publisher: Springer Science & Business Media
ISBN: 3319042297
Size: 30.33 MB
Format: PDF, ePub
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Aggelogiannaki, E., Sarimveis, H.: A simulated annealing algorithm for prioritized
multiobjective optimization–implementation in an adaptive model predictive
control configuration. IEEE Transactions on ... Akpan, V.A., Hassapis, G.D.:
Nonlinear model identification and adaptive model predictive control using
neural networks. ... Control Engineering Practice 6, 271–279 (1998) Arahal, M.R.,
Berenguel, M., Camacho, E.F.: Neural identification applied to predictive control
of a solar plant.

Nonlinear Model Predictive Control

Author: Lalo Magni
Publisher: Springer Science & Business Media
ISBN: 3642010938
Size: 65.19 MB
Format: PDF
View: 6583
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Water distribution canals provide interesting examples of distributed parameter
plants for which nonlinear model predictive control may be applied. Canals are
formed by a sequence of pools separated by gates. Output variables are the pool
level at certain points, manipulated variables are the position of the gates and
disturbances are the outlet water flows for agricultural use. The operation of this
system is subject to a number of constraints. These are the minimum and
maximum ...