Design of multilevel perturbation signals with harmonic properties suitable for nonlinear system identification

IEE Proceedings: Control Theory and Applications

Volumn 151, Issue 2, 2004, Pages 145-151

  Barker, H A ^a   Tan, A H ^b   Godfrey, K 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 SOFTWARE; CONSTRAINT THEORY; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; HARMONIC ANALYSIS; MATHEMATICAL MODELS; PERTURBATION TECHNIQUES; SIGNAL PROCESSING;

HARMONIC PROPERTIES; HARMONIC SUPPRESSION; MULTILEVEL PERTURBATION SIGNALS; NONLINEARITIES;

NONLINEAR SYSTEMS;

EID: 2342553043     PISSN: 13502379     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-cta:20040201     Document Type: Conference Paper

References (13)

1. Barker, H.A., Godfrey, K.R., and Tucker, A.J.: 'Nonlinear system identification with multilevel perturbation signals'. Proc. 12th IFAC Symp. on System Identification (SYSID), Santa Barbara, CA, USA, 21-23 June 2000, pp. 1175-1178
2. Barker, H.A.: 'Design of multi-level pseudo-random signals for system identification', in Godfrey, K.R. (Ed.): 'Perturbation signals for system identification' (Prentice-Hall, Hemel Hempstead, UK, 1993), Chap. 11
3. Barker, H.A.: 'GALOIS - a program for generating pseudo-random perturbation signals'. Proc. 12th IFAC Symp. on System Identification (SYSID), Santa Barbara, CA, USA, 21-23 June 2000, pp. 505-508
4. Pintelon, R., and Schoukens, J.: 'System identification: a frequency domain approach' (IEEE Press, New York, 2001)
5. Braun, M.W., Rivera, D.E., Stenman, A., Foslien, W., and Hrenya, C.: 'Multi-level pseudo-random signal design and 'Model-on-Demand' estimation applied to nonlinear identification of a RTF wafer reactor'. Proc. American Control Conf. (ACC), San Diego, CA, USA, 2-4 June 1999, pp. 1573-1577
6. Lara, J.M.V., and Milani, B.E.A.: 'Identification of a neutralisation process using multi-level pseudo-random signals'. Proc. 2003 American Control Conf. (ACC), Denver, CO, USA, 4-6 June 2003, pp. 3822-3827
7. Braun, M.W., Rivera, D.E., and Stenman, A.: 'A 'Model-on-Demand' identification methodology for non-linear process systems', Int. J. Control, 2001, 74, (18), pp. 1708-1717
8. Barker, H.A., Tan, A.H., and Godfrey, K.R.: 'Criteria for determining the optimal levels of multilevel perturbation signals for nonlinear system identification'. Proc. 2003 American Control Conf. (ACC), Denver, CO, USA, 4-6 June 2003, pp. 4409-4414
9. Barker, H.A., Tan, A.H., and Godfrey, K.R.: 'The performance of multilevel perturbation signals for nonlinear system identification'. Proc. 13th IFAC Symp. on System Identification (SYSID), Rotterdam, The Netherlands, 27-29 August 2003, pp. 683-688
10. Zierler, N.: 'Linear recurring sequences', J. Soc. Ind. Math., 1959, 7, pp. 31-48
11. Barker, H.A.: 'Primitive maximum-length sequences and pseudorandom signals', accepted for publication in Trans. Inst. Meas. Control
12. Barker, H.A., and Zhuang, M.: 'Design of pseudo-random perturbation signals for frequency-domain identification of nonlinear systems'. Proc. 11th IFAC Symp. on System Identification (SYSID), Fukuoka, Japan, 8-11 July 1997, pp. 1635-1640
13. Kollar, I.: 'Frequency Domain System Identification Toolbox for use with Matlab' (The MathWorks, Natick, 1994)