DocumentCode :
1216789
Title :
Recursive dual-linear-programming approach for parameter-uncertainty-interval estimation
Author :
Sun, X.-F. ; Zhang, H.-Y. ; Fan, Y.-Z.
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Volume :
150
Issue :
3
fYear :
2003
fDate :
5/23/2003 12:00:00 AM
Firstpage :
303
Lastpage :
310
Abstract :
The parameter-uncertainty-interval-estimation (PIE) problem is transferred into several dual-linear-programming (DLP) problems, and a recursive DLP algorithm is proposed and applied in PIE. This recursive algorithm is based on a modified dual-simplex method that is specifically developed for solving the DLP problems derived from the PIE problem. Because the scale of the DLP problems is considerably smaller than that of the primal linear-programming problems for solving the PIE problem, the recursive DLP algorithm is computationally efficient and suitable for online-engineering applications. Simulations show the effectiveness of the proposed recursive algorithm.
Keywords :
discrete time systems; linear programming; parameter estimation; recursive estimation; SISO discrete-time system; computationally efficient algorithm; modified dual-simplex method; online-engineering applications; parameter-uncertainty-interval estimation; recursive DLP algorithm; recursive dual-linear-programming approach; set-membership identification; simulations;
fLanguage :
English
Journal_Title :
Control Theory and Applications, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2379
Type :
jour
DOI :
10.1049/ip-cta:20030318
Filename :
1203200
Link To Document :
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