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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Alamir, Mazen (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Lecture Notes in Control and Information Sciences, 339
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes  |h [electronic resource] :  |b A Parametrized Approach for Fast Systems /  |c by Mazen Alamir. 
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300 |a XVII, 308 p. 102 illus.  |b online resource. 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 1610-7411 ;  |v 339 
505 0 |a Generic Framework -- Definitions and Notation -- The Receding-Horizon State Feedback -- Stabilizing Schemes with Final Equality Constraint on the State -- Stabilizing Formulations with Free Prediction Horizon and No Final Constraint on the State -- General Stabilizing Formulations for Trivial Parametrization -- Limit Cycles Stabilizing Receding-Horizon Formulation for a Class of Hybrid Nonlinear Systems -- Generic Design of Dynamic State Feedback Using Receding-Horizon Schemes -- Application Examples -- Swing-Up Mechanical Systems -- Minimum-Time Constrained Stabilization of Nonholonomic Systems -- Stabilization of a Rigid Satellite in Failure Mode -- Receding-Horizon Solution to the Minimum-Interception-Time Problem -- Constrained Stabilization of a PVTOL Aircraft -- Limit Cycle Stabilizing Receding-Horizon Controller for the Planar Biped Rabbit. 
520 |a 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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