Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control [recurso electrónico] / by Christian Kirches.
Tipo de material:
TextoEditor: Wiesbaden : Vieweg+Teubner Verlag, 2011Descripción: XX, 367p. 64 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783834882028Tema(s): Computer science | Computer simulation | Mathematics | Computer Science | Simulation and Modeling | Mathematics, generalFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 003.3 Clasificación LoC:QA76.9.C65Recursos en línea: Libro electrónico
En: Springer eBooksResumen: Current industrial practice knows many optimization tasks that can be cast as mixed-integer optimal control problems. Due to the combinatorial character of these problems, the computation of optimal solutions under real-time constraints is still a demanding challenge. Starting with Bock's direct multiple shooting method for optimal control, Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding. In a sequential quadratic programming framework, extensive exploitation of arising structures in an active set method ultimately brings the developed algorithm towards real-time feasibility.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QA76.9 .C65 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 377079-2001 |
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Current industrial practice knows many optimization tasks that can be cast as mixed-integer optimal control problems. Due to the combinatorial character of these problems, the computation of optimal solutions under real-time constraints is still a demanding challenge. Starting with Bock's direct multiple shooting method for optimal control, Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding. In a sequential quadratic programming framework, extensive exploitation of arising structures in an active set method ultimately brings the developed algorithm towards real-time feasibility.
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