Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes : A Parametrized Approach for Fast Systems

While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems. Dr. Alamir presents a successful approach to this problem based on a co-operation between structural considerations and on-line optimization. The bal...

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Autore principale: Alamir, Mazen, 1966-...., auteur en automatique-productique
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: London : Springer London 2006.
Cham : Springer Nature
Serie:Lecture Notes in Control and Information Sciences 339
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes, Texte imprimé, 9781848005372
• Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes, Texte imprimé, 9781846284700
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Riassunto:While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems. Dr. Alamir presents a successful approach to this problem based on a co-operation between structural considerations and on-line optimization. The balance between structural and optimization aspects of the method is dependent on the system being considered so the many examples aim to transmit a mode of thought rather than a ready-to-use recipe; they include: - double inverted pendulum; - non-holonomic systems in chained form; - snake board; - missile in intercept mission; - polymerization reactor; - walking robot; - under-actuated satellite in failure mode. In addition, the basic stability results under receding horizon control schemes are revisited using a sampled-time, low-dimensional control parameterization that is mandatory for fast computation and some novel formulations are proposed which offer promising directions for future research.
Descrizione del documento:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781846284717
ISSN:1610-7411
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