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Content Provider | IEEE Xplore Digital Library |
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Author | Huan-Chan Ting Jeang-Lin Chang Yon-Ping Chen |
Copyright Year | 2010 |
Description | Author affiliation: Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu, Taiwan (Huan-Chan Ting; Yon-Ping Chen) || Department of Electrical Engineering, Oriental Institute of Technology, Taipei County, Taiwan (Jeang-Lin Chang) |
Abstract | This paper considers the problem of estimating the state of an MIMO linear system with unknown inputs in the state and output. Through a series of linear transformations in the state and output equations, the original system can be transformed into a descriptor system form. The proposed proportional derivative observer can accurately estimate the system state and avoid the peaking phenomenon. Moreover, the approach developed in this paper does not require the derivatives of the output and can be applied in the system with unstable zeros (with respect to the relation between the output and the unknown input). Finally, our algorithm can prove the valid feasibility and the property of disturbance attenuation through demonstrating a simulation-base example. |
Starting Page | 2207 |
Ending Page | 2213 |
File Size | 294429 |
Page Count | 7 |
File Format | |
ISBN | 9781424476428 |
e-ISBN | 9784907764364 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-08-18 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | SICE |
Subject Keyword | Observers Estimation error Equations Linear systems Mathematical model Design methodology descriptor system State estimation unknown input observer |
Content Type | Text |
Resource Type | Article |
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