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Optimization and Control Techniques and Applications

  • Conference proceedings
  • © 2014

Overview

  • Presents advances in state-of-the-art solution methods and their applications to real life practical problems in optimization, control and operations research
  • Collates contributions from world-class experts
  • Explores both optimization and control theory and applications of the theory, explaining techniques involved
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 86)

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Table of contents (14 papers)

  1. Techniques and Applications

Keywords

About this book

This book presents advances in state-of-the-art solution methods and their applications to real life practical problems in optimization, control and operations research. Contributions from world-class experts in the field are collated here in two parts, dealing first with optimization and control theory and then with techniques and applications.

Topics covered in the first part include control theory on infinite dimensional Banach spaces, history-dependent inclusion and linear programming complexity theory. Chapters also explore the use of approximations of Hamilton-Jacobi-Bellman inequality for solving periodic optimization problems and look at multi-objective semi-infinite optimization problems and production planning problems.

In the second part, the authors address techniques and applications of optimization and control in a variety of disciplines, such as chaos synchronization, facial expression recognition and dynamic input-output economic models. Other applications considered here include image retrieval, natural earth satellites orbital transfers, snap-back repellers and modern logistic systems.

Readers will learn of advances in optimization, control and operations research, as well as potential new avenues of research and development. The book will appeal to scientific researchers, mathematicians and all specialists interested in the latest advances in optimization and control.

Editors and Affiliations

  • Department of Mathematics and Statistics, Curtin University, Perth, Australia

    Honglei Xu

  • Department of Mathematics and Statistics, Curtin Univeristy, Perth, Australia

    Kok Lay Teo

  • Department of Mathematics, China University of Petroleum, Beijing, China

    Yi Zhang

About the editors

Professor Honglei Xu' research interests include theory and applications of nonlinear control and systems engineering.

Professor Kok Lay Teo's research interests include both the theoretical and numerical aspects of optimal control and optimization, and their practical applications such as signal processing in telecommunications and financial portfolio optimization.

Professor Yi Zhang’s research interests include hybrid systems and their applications.

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