Model Predictive Control

Name: Model Predictive Control
Brand: Springer International Publishing AG
SKU: 9783319248516
Price: 432.59 RON
Availability: InStock

Classical, Robust and Stochastic

Autor: Basil Kouvaritakis, Mark Cannon

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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432.59 lei

For the first time, a textbook that brings together classical predictive control with treatment of u...

Informații despre carte

Autor

Basil Kouvaritakis, Mark Cannon

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2015

Pagini

384

EAN

9783319248516

ISBN

3319248510

Enbook ID

02820661

Editura

Springer International Publishing AG

Greutate

804

Dimensiuni

246 x 166 x 21

Descriere completă

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques.§§Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are considered and the state of the art in computationally tractable methods based on uncertainty tubes presented for systems with additive model uncertainty. Finally, the tube framework is also applied to model predictive control problems involving hard or probabilistic constraints for the cases of multiplicative and stoch§astic model uncertainty. The book provides:§§extensive use of illustrative examples;§sample problems; and§discussion of novel control applications such as resource allocation for sustainable development and turbine-blade control for maximized power capture with simultaneously reduced risk of turbulence-induced damage. §Graduate students pursuing courses in model predictive control or more generally in advanced or process control and senior undergraduates in need of a specialized treatment will find Model Predictive Control an invaluable guide to the state of the art in this important subject. For the instructor it provides an authoritative resource for the construction of courses.§§

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Model Predictive Control

Classical, Robust and Stochastic

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