EconPapers    
Economics at your fingertips  
 

LMI Approach to Robust Delay-Dependent Mixed H 2/H ∞ Controller of Uncertain Neutral Systems with Discrete and Distributed Time-Varying Delays

J. D. Chen
Additional contact information
J. D. Chen: National Kinmen Institute of Technology

Journal of Optimization Theory and Applications, 2006, vol. 131, issue 3, No 5, 383-403

Abstract: Abstract The design of a robust mixed H 2/H ∞ controller for a class of uncertain neutral systems with discrete, distributed, and input time-varying delays is considered. More precisely, the proposed robust mixed H 2/H ∞ controller minimizes an upper bound of the H 2 performance measure, while guaranteeing an H ∞ norm bound constraint. Based on the Lyapunov-Krasovskii functional theory, a delay-dependent criterion is derived for the existence of a desired mixed H 2/H ∞ controller, which can be constructed easily via feasible linear matrix inequalities (LMIs). Furthermore, a convex optimization problem satisfying some LMI constraints is formulated to obtain a suboptimal robust mixed H 2/H ∞ controller achieving the minimization of an upper bound of the closed-loop H 2 performance measure. Finally, a numerical example is illustrated to show the usefulness of the obtained design method.

Keywords: Robust mixed H 2/H ∞ controllers; discrete; distributed; and input time-varying delays; Lyapunov-Krasovskii functionals; delay-dependent criterion (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-006-9151-3 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:131:y:2006:i:3:d:10.1007_s10957-006-9151-3

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

DOI: 10.1007/s10957-006-9151-3

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:131:y:2006:i:3:d:10.1007_s10957-006-9151-3