Quasilinear Control Theory: An overview

Shi Nung Ching, Yongsoon Eun, Pierre T. Kabamba, Semyon M. Meerkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

This paper presents a complete set of methods for the performance analysis and design of closed loop systems with nonlinear actuators and sensors (so-called Linear Plant/Nonlinear Instrumentation, or LPNI, systems). As it turns out, these methods are quite similar to those in the linear case. Accordingly, the resulting methods are referred to as Quasilinear Control (QLC) Theory. Since the main analysis and design techniques of QLC are not too different from the well known linear control-theoretic methods, QLC can be viewed as a simple addition to the standard toolbox of control engineering practitioners and students alike.

Original languageEnglish
Title of host publicationProceedings of the 18th IFAC World Congress
PublisherIFAC Secretariat
Pages10958-10963
Number of pages6
Edition1 PART 1
ISBN (Print)9783902661937
DOIs
StatePublished - 2011

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume44
ISSN (Print)1474-6670

Keywords

  • Constrained control
  • Nonlinear actuators and sensors
  • Stochastic linearization

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