Sub-optimal linear quadratic control for singularly perturbed systems

Yan Li, Jian Liang Wang, Guang Hong Yang

Research output: Journal PublicationConference articlepeer-review

34 Citations (Scopus)

Abstract

This paper proposes a new methodology to design sub-optimal controllers for singularly perturbed systems. The controller is given in terms of the solution of a set of inequalities. An algorithm is given to solve those inequalities through LMI (Linear Matrix Inequality) formulation. An example exhibits that the results are very close to the exact optimal solutions. The main features of this approach are that it takes advantage of LMI to deal with singularly perturbed systems with less conservativeness and can be extended to other robust and multi-objective control problems for singularly perturbed systems. In addition, it is suitable for both standard and nonstandard singularly perturbed systems.

Original languageEnglish
Pages (from-to)3698-3703
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume4
Publication statusPublished - 2001
Externally publishedYes
Event40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States
Duration: 4 Dec 20017 Dec 2001

Keywords

  • LMI
  • LQ control
  • Singularly perturbed systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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