Synthesis of globally optimal controllers for robust performance to unstructured uncertainty

This paper solves the problem of synthesis of controllers achieving globally optimal robust performance against unstructured time-varying and/or nonlinear uncertainty. The performance measure considered is the infinity-to-infinity induced norm of a system's transfer function. The solution utili...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on automatic control Vol. 41; no. 2; pp. 189 - 198
Main Author Khammash, M.H.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.02.1996
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Computer science; control theory; systems
Control system synthesis
Control theory. Systems
Exact sciences and technology
H infinity control
Linear programming
Measurement uncertainty
Optimal control
Robust control
Robust stability
Robustness
Signal synthesis
Transfer functions
Sensitivity analysis
Optimal control
Control system
Parametric programming
Minimization
Linear programming
System synthesis
Optimization
Online AccessGet full text

Cover

More Information
Summary:This paper solves the problem of synthesis of controllers achieving globally optimal robust performance against unstructured time-varying and/or nonlinear uncertainty. The performance measure considered is the infinity-to-infinity induced norm of a system's transfer function. The solution utilizes sensitivity analysis of linear programming and the theory of parametric programming.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9286
1558-2523
DOI:10.1109/9.481518