A Polynomial-Time Algorithm for Efficient Extraction of Boundary Rectangles From Interval Templates
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Published:2003-12-01
Issue:4
Volume:125
Page:654-657
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ISSN:0022-0434
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Container-title:Journal of Dynamic Systems, Measurement, and Control
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language:en
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Short-container-title:
Author:
Nataraj P. S. V.1, Satyanarayan R.1, Sheela S.1
Affiliation:
1. Systems and Control Engineering Group, Room 114, ACRE Building, IIT Bombay 400 076 India
Abstract
A polynomial-time On2 algorithm is presented for extracting the boundary rectangles from a given interval template having no “inner windings.” The algorithm involves only comparisons and list operations. The performance of the algorithm is tested and compared with those of four boundary extraction algorithms existing in the QFT literature. The testing is done on a benchmark suite of eleven transfer function examples, using computational time and effort (flops) as the performance metrics. The test results show the proposed algorithm to be superior in every example. The typical improvement in terms of these metrics is by several orders of magnitude.
Publisher
ASME International
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Reference22 articles.
1. Gutman, P. O., Baril, C., and Neumann, L., 1994, “An algorithm for computing value sets of uncertain transfer functions in factored real form,” IEEE Trans. Autom. Control, 39, pp. 1268–1273. 2. Nataraj, P. S. V., and Sardar, G., 2000, “Template generation for continuous transfer functions using interval analysis,” Automatica, 36, pp. 111–119. 3. Nataraj, P. S. V., and Sheela, S., 2002, “Template generation algorithm using vectorized function evaluations and adaptive subdivisions,” ASME J. Dyn. Syst., Meas., Control, 124, pp. 585–588. 4. Moore, R. E., 1979, Methods and Applications of Interval Analysis, SIAM, Philadelphia. 5. Cohen, B., Nordin, M., and Gutman, P. O., 1995, “Recursive grid methods to compute value sets for transfer functions with parametric uncertainty,” In Proc. of ACC, pp. 3861–3865.
Cited by
3 articles.
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