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Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes [electronic resource] : A Parametrized Approach for Fast Systems / by Mazen Alamir.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Control and Information Sciences ; 339Publisher: London : Springer London, 2006Description: XVII, 308 p. 102 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781846284717
Subject(s): Additional physical formats: Printed edition:: No titleOnline resources:
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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