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Title: Reduced-order disturbance observer design for discrete-time linear stochastic systems
Authors: Su, Jinya
Li, Baibing
Chen, Wen-Hua
Yang, Jun
Keywords: Disturbance observer
Kalman filter
Unknown input
Issue Date: 2016
Publisher: © The Authors. Published by Sage.
Citation: SU, J. ...et al., 2016. Reduced-order disturbance observer design for discrete-time linear stochastic systems. Transactions of the Institute of Measurement and Control, In Press.
Abstract: The conventional disturbance observers for discrete-time linear stochastic systems assume that the system states are fully estimable and the disturbance estimate is dependent on the estimated system states, hereafter termed Full-Order Disturbance Observers (FODOs). This paper investigates the design of Reduced-Order Disturbance Observers (RODOs) when the system state variables are not fully estimable. An existence condition of RODO is established, which is shown to be more easily satisfied than that of the conventional FODOs and consequently it has substantially extended the scope of applications of disturbance observer theory. Then a set of recursive formulae for the RODO is developed for on-line applications. Finally, it is furth er shown that the conventional FODOs are a special case of the proposed RODO in the sense that the former reduces to the RODO when the states become fully estimable in the presence of disturbances. Examples are given to demonstrate the effectiveness and advantages of the proposed approach.
Description: This paper was accepted for publication in the journal Transactions of the Institute of Measurement and Control and the definitive published version is available at http://dx.doi.org/10.1177/0142331216634425
Sponsor: This work was partly supported by the UK Engineering and Physical Sciences Research Council (EPSRC) Autonomous and Intelligent Systems programme under the grant number EP/J011525/1 with BAE Systems as the leading industrial partner.
Version: Accepted for publication
DOI: 10.1177/0142331216634425
URI: https://dspace.lboro.ac.uk/2134/21208
Publisher Link: http://dx.doi.org/10.1177/0142331216634425
ISSN: 0142-3312
Appears in Collections:Published Articles (Business)
Published Articles (Aeronautical and Automotive Engineering)

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