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Infinite-Horizon Optimal Control in the Discrete-Time Framework / by Joël Blot, Naïla Hayek.

Por: Colaborador(es): Tipo de material: TextoTextoSeries SpringerBriefs in OptimizationEditor: New York, NY : Springer New York : Imprint: Springer, 2014Descripción: vii, 126 páginas recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9781461490388
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA315-316
Recursos en línea:
Contenidos:
1. Presentation of the problems and tools of the finite horizon -- 2. Infinite horizon theorems -- 3. The special case of the bounded processes -- Related topics. Appendix A : Sequences -- Appendix B: Static optimization -- References.
Resumen: In this book the authors take a rigorous look at the infinite-horizon discrete-time optimal control theory from the viewpoint of Pontryagin’s principles. Several Pontryagin principles  are described which govern systems and various criteria which define the notions of optimality, along with a detailed analysis of how each Pontryagin principle relate to each other. The Pontryagin principle is examined in a stochastic setting and results are given which generalize Pontryagin’s principles to multi-criteria problems.  Infinite-Horizon Optimal Control in the Discrete-Time Framework  is aimed toward researchers and PhD students in various scientific fields such as mathematics, applied mathematics, economics, management, sustainable development (such as, of fisheries and of forests), and  Bio-medical sciences who are drawn to infinite-horizon discrete-time optimal control problems.
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Springer eBooks

1. Presentation of the problems and tools of the finite horizon -- 2. Infinite horizon theorems -- 3. The special case of the bounded processes -- Related topics. Appendix A : Sequences -- Appendix B: Static optimization -- References.

In this book the authors take a rigorous look at the infinite-horizon discrete-time optimal control theory from the viewpoint of Pontryagin’s principles. Several Pontryagin principles  are described which govern systems and various criteria which define the notions of optimality, along with a detailed analysis of how each Pontryagin principle relate to each other. The Pontryagin principle is examined in a stochastic setting and results are given which generalize Pontryagin’s principles to multi-criteria problems.  Infinite-Horizon Optimal Control in the Discrete-Time Framework  is aimed toward researchers and PhD students in various scientific fields such as mathematics, applied mathematics, economics, management, sustainable development (such as, of fisheries and of forests), and  Bio-medical sciences who are drawn to infinite-horizon discrete-time optimal control problems.

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