DocumentCode :
592381
Title :
Convergence and compactness of families of proper plants in the graph topology
Author :
Vidyasagar, M. ; Yamamoto, Yusaku
Author_Institution :
Erik Jonsson Sch. of Eng. & Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
232
Lastpage :
239
Abstract :
The graph topology plays a central role in characterizing the robustness of feedback systems. In particular, it provides necessary and sufficient conditions for the transfer matrix of a stabilized closed-loop system to be continuous with respect to the controller. If in addition we confine our attention to a compact set of controllers, we can draw much stronger conclusions, for example, the uniform continuity of the closed-loop transfer matrix. This motivates a detailed study of convergence in the graph topology, and a characterization of compactness in this topology. Readily verifiable necessary and sufficient conditions for a set (of controllers) to be compact the graph topology are not available at present. Following our preliminary results in an earlier paper, the present paper gives a simple characterization of convergence in the graph topology in the field of fractions associated with the disc algebra. The result is then applied to characterize compact sets in the graph topology in the field of fractions associated with the disc algebra. An application to the problem of approximate system design is also discussed.
Keywords :
closed loop systems; control system synthesis; convergence; feedback; graph theory; matrix algebra; robust control; approximate system design; closed-loop transfer matrix; compactness characterization; controllers compact set; disc algebra; feedback systems robustness; fraction field; graph topology convergence; proper plants families; stabilized closed-loop system; uniform continuity; Algebra; Approximation methods; Convergence; Educational institutions; Measurement; Topology; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426508
Filename :
6426508
Link To Document :
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