EconPapers    
Economics at your fingertips  
 

LMI Approach to Output Feedback Control for Linear Uncertain Systems with D-Stability Constraints

Z. Wang and K. J. Burnham
Additional contact information
Z. Wang: Coventry University
K. J. Burnham: Coventry University

Authors registered in the RePEc Author Service: Zhao-Hua Wang () and Zhiguo Wang ()

Journal of Optimization Theory and Applications, 2002, vol. 113, issue 2, No 8, 357-372

Abstract: Abstract This paper deals with the problem of designing output feedback controllers for linear uncertain continuous-time and discrete-time systems with circular pole constraints. The uncertainty is assumed to be norm bounded and enters into both the system state and input matrices. We focus on the design of a dynamic output feedback controller that, for all admissible parameter uncertainties, assigns all the closed-loop poles inside a specified disk. It is shown that the problem addressed can be recast as a convex optimization problem characterized by linear matrix inequalities (LMI); therefore, an LMI approach is developed to derive the necessary and sufficient conditions for the existence of all desired dynamic output feedback controllers that achieve the specified circular pole constraints. An effective design procedure for the expected controllers is also presented. Finally, a numerical example is provided to show the usefulness and applicability of the present approach.

Keywords: Linear systems; dynamic output feedback; norm-bounded uncertainty; robust control; regional pole placement; LMI approach (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1023/A:1014887110211 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:113:y:2002:i:2:d:10.1023_a:1014887110211

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1023/A:1014887110211

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:113:y:2002:i:2:d:10.1023_a:1014887110211