Finite-Time State Estimation of Discrete-Time Linear Systems With Some Extensions. Application to Steering Lateral Vehicle Model
Type
Conference PaperKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Date
2019Permanent link to this record
http://hdl.handle.net/10754/662169
Metadata
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This paper presents novel exact finite-time estimation algorithms for linear discrete-time systems with extension to singular systems, under specific rank conditions. The proposed estimation algorithms are more general than the well-known deadbeat observers, which can provide finitetime estimation. Two new estimation schemes are proposed; the first scheme provides a direct and explicit estimation algorithm based on the use of delayed outputs, while the second scheme uses two combined asymptotic observers to recover in a finitetime the exact solution of the system. The effectiveness of the developed estimators is shown through application to a steering controlled lateral vehicle system where all states are estimated from look-ahead distance measurement.Citation
Chaib-Draa, K., Zemouche, A., Rajamani, R., Bedouhene, F., & Laleg-Kirati, T. M. (2019). Finite-Time State Estimation of Discrete-Time Linear Systems With Some Extensions. Application to Steering Lateral Vehicle Model. 2019 IEEE 58th Conference on Decision and Control (CDC). doi:10.1109/cdc40024.2019.9029362Conference/Event name
2019 IEEE 58th Conference on Decision and Control (CDC)Additional Links
https://ieeexplore.ieee.org/document/9029362/https://ieeexplore.ieee.org/document/9029362/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9029362
ae974a485f413a2113503eed53cd6c53
10.1109/CDC40024.2019.9029362