Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/80908
Title: Optimal input design for worst-case system identification in l1/l2/l∞
Authors: Belforte, G.
Tay, T.T. 
Keywords: input design
linear shift-invariant FIR systems
Worst-case system identification
Issue Date: Apr-1993
Citation: Belforte, G.,Tay, T.T. (1993-04). Optimal input design for worst-case system identification in l1/l2/l∞. Systems and Control Letters 20 (4) : 273-278. ScholarBank@NUS Repository.
Abstract: In this paper, we examine optimal sequences that generate worst-case parameters estimation errors in the l1, l2 and l∞ norm context for algorithms identifying linear, time-invariant discrete-time, finite impulse response systems excited by bounded sequences and with l∞ norm measurement error. © 1993.
Source Title: Systems and Control Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/80908
ISSN: 01676911
Appears in Collections:Staff Publications

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