Investigation of Unmeasured Parameters Estimation for Distributed Control Systems
Joint Authors
Wang, Hao
Xie, Shousheng
Wang, Weixuan
Wang, Lei
Peng, Jingbo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The problem of unmeasured parameters estimation for distributed control systems is studied in this paper.
The Takagi–Sugeno fuzzy model which can appropriate any nonlinear systems is employed, and based on the model, an observer-based fuzzy H∞ filter which has robustness against time-delay, external noise, and system uncertainties is designed.
The sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions.
Moreover, the underdetermined estimation problem in which the number of sensors available is typically less than the number of state variables to be estimated is specifically addressed.
A systematic method is proposed to produce a model tuning parameter vector of appropriate dimension for the estimation of the filter, and the optimal transformation matrix is selected via iterative solution to minimize the estimated error.
Finally, a simulation example for turbofan aeroengine is given to illustrate the effectiveness of the proposed method, and the estimated error is less than 2.5%.
American Psychological Association (APA)
Wang, Hao& Xie, Shousheng& Wang, Weixuan& Wang, Lei& Peng, Jingbo. 2020. Investigation of Unmeasured Parameters Estimation for Distributed Control Systems. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1143771
Modern Language Association (MLA)
Wang, Hao…[et al.]. Investigation of Unmeasured Parameters Estimation for Distributed Control Systems. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1143771
American Medical Association (AMA)
Wang, Hao& Xie, Shousheng& Wang, Weixuan& Wang, Lei& Peng, Jingbo. Investigation of Unmeasured Parameters Estimation for Distributed Control Systems. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1143771
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143771