A linear programming approach to characterizing norm bounded uncertainty from experimental dataThe linear programming spectral overbounding and factorization (LPSOF) algorithm, an algorithm for finding a minimum phase transfer function of specified order whose magnitude tightly overbounds a specified nonparametric function of frequency, is introduced. This method has direct application to transforming nonparametric uncertainty bounds (available from system identification experiments) into parametric representations required for modern robust control design software (i.e., a minimum-phase transfer function multiplied by a norm-bounded perturbation).
Document ID
19920046648
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Scheid, R. E. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bayard, D. S. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)