Articles in Scholarly Journals [Incomplete List]

1. Trends in systems and signalsStatus report prepared by the IFAC Coordinating Committee on Systems and Signals
   Annual Reviews in Control, vol. 30, no. 1, pp. 5–17, 2006
2. Constrained state–space system identification with application to structural dynamics?
   Automatica, 2006
3. An analysis of the parametrization by data driven local coordinates for multivariable linear systems
   Automatica, vol. 40, no. 5, pp. 789–803, 2004
4. Data driven local coordinates for multivariable linear systems and their application to system identification*1
   Automatica, vol. 40, no. 9, pp. 1629–1635, 2004
5. Estimation of resonant frequencies and quality factors from time domain computations
   Journal of Computational Physics, vol. 192, no. 2, pp. 523–545, 2003
6. A first-order statistical method for channel estimation
   IEEE Signal Processing Letters, vol. 10, no. 3, pp. 57–60, 2003
7. Subspace-Based System Identification for an Acoustic Enclosure
   Journal of Vibration and Acoustics, vol. 124, no. 3, p. 414, 2002
8. Frequency domain identification methods
   Circuits, Systems, and Signal Processing, vol. 21, no. 1, pp. 39–55, 2002
9. On adaptive smoothing of empirical transfer function estimates
   Control Engineering Practice, vol. 8, no. 11, pp. 1309–1315, 2000
10. Vector ARMA estimation: a reliable subspace approach
    IEEE Transactions on Signal Processing, vol. 48, no. 7, pp. 2092–2104, 2000
11. Subspace-based multivariable system identification from frequency response data
    IEEE Transactions on Automatic Control, vol. 41, no. 7, pp. 960–979, 1996
12. Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data
    Automatica, vol. 32, no. 6, pp. 885–902, 1996
13. Subspace identification from closed loop data
    Signal Processing, vol. 52, no. 2, pp. 209–215, 1996
14. Vibration data analysis for a commercial aircraft Multivariable vibration data from an aircraft is analyzed using modern system identification tools. The identified linear vibrational model accurately describes the measured motion.
    Automatica, vol. 32, no. 12, pp. 1689–1700, 1996
15. Subspace based system identification with periodic excitation signals
    Systems & Control Letters, vol. 26, no. 5, pp. 349–361, 1995