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Optimal Control: Novel Directions and Applications

  • Daniela Tonon
  • Maria Soledad Aronna
  • Dante Kalise

Part of the Lecture Notes in Mathematics book series (LNM, volume 2180)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Maria Soledad Aronna, Daniela Tonon, Andrea Boccia, Cédric Martínez Campos, Marco Mazzola, Luong Van Nguyen et al.
    Pages 1-125
  3. Adriano Festa, Roberto Guglielmi, Christopher Hermosilla, Athena Picarelli, Smita Sahu, Achille Sassi et al.
    Pages 127-261
  4. Mario Zanon, Andrea Boccia, Vryan Gil S. Palma, Sonja Parenti, Ilaria Xausa
    Pages 263-382
  5. Back Matter
    Pages 383-388

About this book

Introduction

Focusing on applications to science and engineering, this book presents the results of the ITN-FP7 SADCO network’s innovative research in optimization and control in the following interconnected topics: optimality conditions in optimal control, dynamic programming approaches to optimal feedback synthesis and reachability analysis, and computational developments in model predictive control. The novelty of the book resides in the fact that it has been developed by early career researchers, providing a good balance between clarity and scientific rigor. Each chapter features an introduction addressed to PhD students and some original contributions aimed at specialist researchers. Requiring only a graduate mathematical background, the book is self-contained. It will be of particular interest to graduate and advanced undergraduate students, industrial practitioners and to senior scientists wishing to update their knowledge.

Keywords

Optimal Control Optimality Conditions Dynamic Programming Model Predictive Control Nonlinear Programming

Editors and affiliations

  • Daniela Tonon
    • 1
  • Maria Soledad Aronna
    • 2
  • Dante Kalise
    • 3
  1. 1.CEREMADE, UMR CNRS 7534Université Paris Dauphine, PSL Research UniversityParisFrance
  2. 2.Escola de Matemática AplicadaFundação Getúlio VargasRio de JaneiroBrazil
  3. 3.Department of MathematicsImperial College LondonLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60771-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-60770-2
  • Online ISBN 978-3-319-60771-9
  • Series Print ISSN 0075-8434
  • Series Online ISSN 1617-9692
  • Buy this book on publisher's site