DocumentCode
1743683
Title
Structured uncertainty analysis of robust stability for spatially distributed systems
Author
Gorinevsky, Dimitry ; Stein, Gunter
Author_Institution
Honeywell, Cupertino, CA, USA
Volume
4
fYear
2000
fDate
2000
Firstpage
3757
Abstract
Considers one of the fundamental issues in design and analysis of sampled multidimensional systems-that of uncertainty modeling and robust stability analysis. The paper extends methods of structured uncertainty analysis (μ-analysis) towards spatially distributed system with dynamical and spatial coordinates. The main contribution with respect to earlier work in this area is in clarification of stability issues for multidimensional systems with noncausal coordinates. Here stability is understood in a broad sense and includes decay (localization) of system response along noncausal spatial coordinates. The presented framework allows to address such practically important issues as robustness of dynamical stability and spatial localization of multidimensional closed-loop feedback system response and boundary effects in a unified way
Keywords
closed loop systems; control system analysis; distributed parameter systems; feedback; multidimensional systems; robust control; sampled data systems; uncertain systems; μ-analysis; boundary effects; decay; dynamical stability; multidimensional closed-loop feedback system response; noncausal coordinates; noncausal spatial coordinates; robust stability; sampled multidimensional systems; spatial localization; spatially distributed systems; structured uncertainty analysis; Actuators; Control design; Control system analysis; Control systems; Frequency domain analysis; Multidimensional systems; Robust stability; Sensor arrays; Signal analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2000.912294
Filename
912294
Link To Document