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
Link To Document :
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