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System Modelling and Optimization

Proceedings of the 13th IFIP Conference Tokyo, Japan, August 31 — September 4, 1987

  • Conference proceedings
  • © 1988

Overview

Editors:
  1. Masao Iri
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  2. Keiji Yajima
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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 113)

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Table of contents (77 papers)

  1. Front Matter

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  2. Trust regions and projected gradients

    • Jorge J. Moré
    Pages 1-13

  3. How to cope with grey part of management —system modelling and optimization in Japanese industry

    • Hajime Karatsu
    Pages 14-21

  4. Optimal control discrete-time systems

    • Jaroslav Dolezal
    Pages 22-28

  5. Control problems under insufficient information

    • Yu. S. Osipov
    Pages 29-51

  6. Application of optimization-based methods in control system design

    • W. Y. Ng
    Pages 52-59

  7. Modelling support system for system dynamics

    • Kishi Mitsuo, Noda Keitaro, Yamashita Yuji, Taguchi Katashi
    Pages 60-69

  8. Stability and control of linear periodic systems

    • Akira Ichikawa
    Pages 70-79

  9. On stochastic control problems : An algorithm for the value function and the optimal policy — some applications

    • Roberto Gonzalez, Edmundo Forman
    Pages 80-89

  10. Solving slp recourse problems: The case of stochastic technology matrix, RHS & objective

    • K. Frauendorfer
    Pages 90-100

  11. Optimal input for autoregressive model discrimination based on the Kullback's divergence

    • Katsuji Uosaki, Toshiharu Hatanaka
    Pages 101-108

  12. Identification of linear discrete-time stochastic system using covariance information

    • Seiichi Nakamori, Hidekatsu Tokumaru
    Pages 109-118

  13. Optimum state estimation using a new class of robust doubly optimized recursive estimators

    • Pero J. Radonja
    Pages 119-128

  14. Chandrasekahr filtering and smoothing methods given covariance model and properties of X and Y functions

    • Masanori Sugisaka
    Pages 129-138

  15. New approach to image modelling with application to restoration problems

    • A. Germani, L. Jetto
    Pages 139-147

  16. Higher order sensitivity of solutions to convex programming problems without strict complementarity

    • Kazimierz Malanowski
    Pages 148-164

  17. Distributed nonlinear optimization algorithms for general network problems

    • D. K. Subramanian
    Pages 165-176

  18. A multiplex algorithm for linear programming problems

    • J. A. Snyman, M. van Rooyen
    Pages 177-186

  19. Newton-type algorithms with nonmonotone line search for large-scale unconstrained optimization

    • L. Grippo, F. Lampariello, S. Lucidi
    Pages 187-196

  20. Centered newton method for mathematical programming

    • Kunio Tanabe
    Pages 197-206
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About this book

From the preface: "These proceedings contain 73 contributed papers selected from among those presented at the 13th IFIP Conference System Modelling and Optimization, Tokyo, Japan, August 31 - September 4, 1987, as well as 4 papers for the plenary sessions of the Conference. The aim of the conference was to discuss recent advances in the mathematical representation of engineering, sociotechnical, socioeconomic systems as well as in the optimization of their performances."

Bibliographic Information

  • Book Title: System Modelling and Optimization

  • Book Subtitle: Proceedings of the 13th IFIP Conference Tokyo, Japan, August 31 — September 4, 1987

  • Editors: Masao Iri, Keiji Yajima

  • Series Title: Lecture Notes in Control and Information Sciences

  • DOI: https://doi.org/10.1007/BFb0042768

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London 1988

  • Softcover ISBN: 978-3-540-19238-1Published: 28 June 1988

  • eBook ISBN: 978-3-540-39164-7Published: 11 April 2006

  • Series ISSN: 0170-8643

  • Series E-ISSN: 1610-7411

  • Edition Number: 1

  • Number of Pages: X, 791

  • Number of Illustrations: 33 b/w illustrations

  • Topics: Control, Robotics, Mechatronics, Mathematical and Computational Engineering

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