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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Colección: | Lecture Notes in Control and Information Sciences,
339 |
| Temas: | |
| Acceso en línea: | Texto Completo |
| Sumario: | 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. |
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| Descripción Física: | XVII, 308 p. 102 illus. online resource. |
| ISBN: | 9781846284717 |
| ISSN: | 1610-7411 ; |