Skip to content
Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Register Sign in Wishlist

Quasilinear Control
Performance Analysis and Design of Feedback Systems with Nonlinear Sensors and Actuators


  • Date Published: December 2010
  • availability: In stock
  • format: Hardback
  • isbn: 9781107000568


Add to cart Add to wishlist

Other available formats:
Paperback, eBook

Looking for an examination copy?

This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact providing details of the course you are teaching.

Product filter button
About the Authors
  • This is a textbook and reference for readers interested in quasilinear control (QLC). QLC is a set of methods for performance analysis and design of linear plant or nonlinear instrumentation (LPNI) systems. The approach of QLC is based on the method of stochastic linearization, which reduces the nonlinearities of actuators and sensors to quasilinear gains. Unlike the usual – Jacobian linearization – stochastic linearization is global. Using this approximation, QLC extends most of the linear control theory techniques to LPNI systems. A bisection algorithm for solving these equations is provided. In addition, QLC includes new problems, specific for the LPNI scenario. Examples include Instrumented LQR/LQG, in which the controller is designed simultaneously with the actuator and sensor, and partial and complete performance recovery, in which the degradation of linear performance is either contained by selecting the right instrumentation or completely eliminated by the controller boosting.

    • Consists of original material which is not available in any other book on the market
    • Extends most of the linear control methods to systems with nonlinear instrumentation, such as root locus, LQR/LQG, Hinf and so on
    • Formulates and solves novel problems related to simultaneous controller and instrumentation design and to recovery of performance losses due to instrumentation nonlinearity
    • Includes bisection algorithms for solving QLC equations and descriptions of several applications of the developed techniques
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Date Published: December 2010
    • format: Hardback
    • isbn: 9781107000568
    • length: 300 pages
    • dimensions: 260 x 185 x 22 mm
    • weight: 0.68kg
    • contains: 154 b/w illus. 6 tables 82 exercises
    • availability: In stock
  • Table of Contents

    1. Introduction
    2. Stochastic linearization of LPNI systems
    3. Analysis of reference tracking in LPNI systems
    4. Analysis of disturbance rejection in LPNI systems
    5. Design of reference tracking controllers for LPNI systems
    6. Design of disturbance rejection controllers for LPNI systems
    7. Performance recovery in LPNI systems
    8. Proofs.

  • Authors

    ShiNung Ching, Massachusetts Institute of Technology

    Yongsoon Eun, Xerox Center for Research and Technology

    Cevat Gokcek, Michigan State University

    Pierre T. Kabamba, University of Michigan

    Semyon M. Meerkov, University of Michigan

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Find content that relates to you

© Cambridge University Press 2014

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.