Optimal levels of perturbation signals for nonlinear system identification

IEEE Transactions on Automatic Control

Volumn 49, Issue 8, 2004, Pages 1404-1407

  Barker, H Anthony ^a   Tan, Ai Hui ^b   Godfrey, Keith R ^c  

^a SWANSEA UNIVERSITY   (United Kingdom)

^b MULTIMEDIA UNIVERSITY   (Malaysia)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; LINEAR EQUATIONS; MATRIX ALGEBRA; NONLINEAR SYSTEMS; OPTIMIZATION; PERTURBATION TECHNIQUES; POLYNOMIALS; RANDOM PROCESSES; VECTORS;

MULTILEVEL SIGNALS; PERTURBATION SIGNALS; PSEUDORANDOM SIGNALS; VANDERMONDE MATRIX;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 4344686896     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAC.2004.832860     Document Type: Article

References (7)

1. H. A. Barker, K. R. Godfrey, and A. J. Tucker, "Nonlinear system identification with multilevel perturbation signals," in Proc. 12th IFAC Symp. System Identification, R. Smith, Ed., 2001, pp. 1175-1178.
2. R. D. Nowak and B. D. Van Veen, "Random and pseudorandom inputs for Volterra filter identification," IEEE Trans. Signal Processing, vol. 42, pp. 2124-2135, Aug. 1994.
3. V. Volterra, Theory of Functionals and of Integro-Differential Equations. London, U.K.: Blackie, 1930.
4. H. A. Barker, A. H. Tan, and K. R. Godfrey, "Criteria for determining the optimal levels of multilevel perturbation signals for nonlinear system identification," in Proc. Amer. Control Conf., Denver, CO, June 2003, pp. 4409-4414.
5. D. R. Hill, Experiments in Computational Matrix Algebra. New York: Random House, 1988.
6. H. A. Barker, "Galois - a program for generating pseudo-random perturbation signals," in Proc. 12th IFAC Symp. System Identification, R. Smith, Ed., 2001, pp. 505-508.
7. D. Everett, "Periodic digital sequences with pseudonoise properties," GEC J. Sci. Technol., vol. 33, no. 3, pp. 115-126,