NDLI: Identification of interval models for a class of uncertain systems via linear programming

Content Provider	IEEE Xplore Digital Library
Author	Guozhu Zhang Jie Chen Zhiping Li
Copyright Year	2010
Description	Author affiliation: Key Lab. of Complex Syst. Intell. Control & Decision, Beijing Inst. of Technol., Beijing, China (Guozhu Zhang; Jie Chen; Zhiping Li)
Abstract	The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing on the measured data of the plant, the interval model identification problem is transformed into several linear programming problems, which can be easily solved through various algorithms. We have proved that the resultant interval model has a known error bound, provided that certain conditions on the measured data are satisfied. To demonstrate its effectiveness, the proposed method is applied to identify the interval model of a servo system with variant load and inertia.
Starting Page	5471
Ending Page	5476
File Size	595267
Page Count	6
File Format	PDF
ISBN	9781424474264
ISSN	07431619
e-ISBN	9781424474271
DOI	10.1109/ACC.2010.5530961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Uncertain systems Linear programming Robust control Uncertainty Servomechanisms Programmable control Adaptive control Robots Arm Servomotors Interval model Identification
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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