DocumentCode :
3018179
Title :
Non-asymptotically stable observers for linear time-invariant systems
Author :
Galperin, E.A.
Author_Institution :
Universit?? de Montr??al, Montr??al, Qu??., Canada
fYear :
1977
fDate :
7-9 Dec. 1977
Firstpage :
444
Lastpage :
449
Abstract :
The concept of asymptotical observation is extended to include a new kind of observers which converge asymptotically not to the (unknown) state of a given system as conventional observers do but rather to an arbitrarily small neighborhood of the state. This type of convergence represents a natural technical requirement in applications and leads to the broadest class of models for asymptotic state estimation. Non-asymptotically stable observers are shown to be robust and to possess closed-loop stability properties under permanently acting disturbances. They require a bit of additional pointwise information and detectability condition is no longer necessary. In linear time-invariant case such models are conditionally stable in the large in the sense specified below.
Keywords :
Asymptotic stability; Control design; Convergence; Eigenvalues and eigenfunctions; Equations; Observers; Real time systems; Robust stability; State estimation; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location :
New Orleans, LA, USA
Type :
conf
DOI :
10.1109/CDC.1977.271612
Filename :
4045882
Link To Document :
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