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Multiple Objective Control Synthesis

  • Book
  • © 2000

Overview

Authors:
  1. Murti V. Salapaka
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  2. Mohammed Dahleh
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  • Solutions are provided to certain problems
  • A comprehensive treatment of this topic
  • Both authors have published extensively in this area

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 252)

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Table of contents (9 chapters)

  1. Front Matter

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  2. Topology

    Pages 1-25

  3. Functions on vector spaces

    Pages 27-44

  4. Convex analysis

    Pages 45-68

  5. Paradigm for control design

    Pages 69-81

  6. SISO l 1/ H 2 problem

    Pages 83-98

  7. A composite performance measure

    Pages 99-110

  8. MIMO design: The square case

    Pages 111-138

  9. Multiple-input multiple-output systems

    Pages 139-144

  10. Robust performance

    Pages 145-162

  11. Back Matter

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Keywords

About this book

This book develops the necessary mathematical background and basic results in control theory that are needed to set up and solve a class of multiple objective control design problems. Exact solutions for certain problems are provided, as well as approximations to more general problems. This book is intended for engineering and mathematics graduate students who are interested in control theory and the application of functional analysis and optimization tools to engineering problems.

Bibliographic Information

  • Book Title: Multiple Objective Control Synthesis

  • Authors: Murti V. Salapaka, Mohammed Dahleh

  • Series Title: Lecture Notes in Control and Information Sciences

  • DOI: https://doi.org/10.1007/BFb0110037

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London 2000

  • Softcover ISBN: 978-1-85233-256-3Published: 01 November 1999

  • eBook ISBN: 978-1-84628-549-3Published: 03 October 2007

  • Series ISSN: 0170-8643

  • Series E-ISSN: 1610-7411

  • Edition Number: 1

  • Number of Pages: XVI, 176

  • Topics: Control, Robotics, Mechatronics, Complexity

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