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Recursive triangulation description of the feasible parameter set for bounded-noise models

He, L. and Sun, Xianfang 2010. Recursive triangulation description of the feasible parameter set for bounded-noise models. IET Control Theory and Applications 4 (6) , pp. 985-992. 10.1049/iet-cta.2009.0040

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Abstract

The problem of estimating feasible parameter sets for linear discrete-time systems with unknown-butbounded noise is investigated. Considering that the feasible parameter set of a linear discrete-time system with bounded noise is a convex polytope and that a convex polytope can be triangulated into a limited number of simplexes with good properties, the authors propose an exact triangulation description method for the feasible parameter set. A convex polytope triangulation algorithm is introduced and a recursive algorithm of estimating the feasible parameter set in correspondence with the system description is developed. Simulation examples show the effectiveness of the proposed method.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Institution of Engineering and Technology
ISSN: 1751-8644
Funders: NSFC
Last Modified: 04 Jun 2017 03:53
URI: http://orca.cf.ac.uk/id/eprint/28519

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