Title :
Optimal sampling schedule for polynomial models with l2 and l∞ set membership errors
Author :
Belforte, G. ; Gay, P. ; Monegato, G.
Author_Institution :
Dipartimento di Autom. e Inf., Politecnico di Torino, Italy
Abstract :
In this paper optimal sampling schedules are derived when the signal to be recovered is a polynomial of given degree and a set membership error description is adopted. Three optimality criteria are considered: the volume of the parameter uncertainty set, its radius and the worst interpolation error. For each of them different optimal sampling schedules are derived
Keywords :
design of experiments; interpolation; optimisation; parameter estimation; signal reconstruction; l∞ set membership errors; l2 set membership errors; optimal sampling schedules; optimality criteria; parameter uncertainty set radius; parameter uncertainty set volume; polynomial; polynomial models; set membership error description; signal recovery; worst interpolation error; Costs; Interpolation; Measurement errors; Noise measurement; Parameter estimation; Polynomials; Processor scheduling; Sampling methods; Time measurement; Uncertain systems;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.650724