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Robust Estimation and Failure Detection

A Concise Treatment

  • Rami S. Mangoubi

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Rami S. Mangoubi
    Pages 1-3
  3. Rami S. Mangoubi
    Pages 5-41
  4. Rami S. Mangoubi
    Pages 43-84
  5. Rami S. Mangoubi
    Pages 99-129
  6. Rami S. Mangoubi
    Pages 131-150
  7. Back Matter
    Pages 151-222

About this book

Introduction

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. This monograph brings together two of the most exciting areas of advanced signal processing and control. The first involves the development of optimal estimators for uncertain signal and noise models. The second is the subject of failure detection and isolation, which has considerable potential in a range of applications. The text provides a gradual build-up of ideas moving from traditional Wiener and Kalman fIltering to risk sensitive control and estimation problems.

Keywords

Extension Kalman filter control control system design design methods development dynamics modeling robust control uncertainty

Authors and affiliations

  • Rami S. Mangoubi
    • 1
  1. 1.Draper LaboratoriesCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-1586-1
  • Copyright Information Springer-Verlag London 1998
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1588-5
  • Online ISBN 978-1-4471-1586-1
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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