DocumentCode
1793392
Title
Robust terminal filtering in an H∞ setting — Application to affine functional networks training
Author
Yaesh, Isaac ; Sanchez Maroño, Noelia ; Shaked, Uri
Author_Institution
Adv. Syst. Div., IMI, Ramat HaSharon, Israel
fYear
2014
fDate
3-5 Dec. 2014
Firstpage
1
Lastpage
5
Abstract
The problem of robust terminal estimation of discrete time-varying linear systems is considered in an H∞ setting. The problem solution is obtained in terms of Difference Linear Matrix Inequalities and it can be applied to obtain state-estimates for a class of nonlinear systems, via linearization. The resulting estimator is shown to be suitable for training a class of functional neural networks.
Keywords
H∞ control; discrete time systems; estimation theory; linear matrix inequalities; neurocontrollers; nonlinear control systems; state estimation; time-varying systems; H∞ setting; affine functional network training; difference linear matrix inequalities; discrete system; functional neural network; linearization; nonlinear system; robust terminal estimation; robust terminal filtering; state-estimates; time-varying system; Estimation; Kalman filters; Noise; Noise measurement; Oscillators; Robustness; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
Conference_Location
Eilat
Print_ISBN
978-1-4799-5987-7
Type
conf
DOI
10.1109/EEEI.2014.7005825
Filename
7005825
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