Fazzi A., Markovsky, I. Addition and intersection of linear time-invariant behaviors.
IFAC J. Syst. Control 26, 100233 (2023).
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Fazzi A., Markovsky, I. Distance problems in the behavioral setting.
Eur. J. Control 74, 100832 (2023).
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Fazzi A., Structured low-rank approximation for nonlinear matrices.
Numer. Algorithms 93 (4), pp. 1561–1580 (2023).
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2022
Fazzi A., Grossmann B., Mercère G., Markovsky I., MIMO system identification using
common denominator and numerators with known degrees. Int. J. Adapt. Control
Signal Process. 36 (4), pp. 870-881 (2022).
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2021
Mishra V. K., Markovsky I., Fazzi A., Dreesen P., Data Driven Simulation for NARX Systems.
2021 29th European Signal Processing Conference (EUSIPCO), pp. 1055-1059 (2021).
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Fazzi A., Guglielmi N., Lubich C., Finding the Nearest Passive or Nonpassive System via
Hamiltonian Eigenvalue Optimization.
SIAM J. Matrix Anal. Appl. 42 (4), pp. 1553-1580 (2021).
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Fazzi A., Guglielmi N., Markovsky I., Usevich K., Common dynamic estimation via structured
low-rank approximation with multiple rank constraints.
IFAC - Papers Online 54 (7), pp. 103-107 (2021).
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Fazzi A., Kukush A., Markovsky I., Bias correction for Vandermonde low-rank approximation.
Econom. Stat. In press, 2021.
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Fazzi A., Guglielmi N., Markovsky I., Generalized algorithms for the approximate matrix polynomial GCD of
reducing data uncertainties with application to MIMO system and control.
J. Comput. Appl. Math. 393, 2021.
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Fazzi A., Guglielmi N., Markovsky I., A gradient system approach for Hankel structured low-rank approximation.
Linear Algebra Its Appl. 623, pp. 236-257 (2021).
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2019
Fazzi A., Guglielmi N., Markovsky I., Computing common factors of matrix polynomials with
applications in system and control theory.
Proc. of the 58-th IEEE Conf. on Decision and Control, 2019.
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Fazzi A., Guglielmi N., Markovsky I., An ODE based method for computing the Approximate Greatest
Common Divisor of polynomials. Numer. Algorithms 81 (2), pp. 719–740 (2019).
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2018
Markovsky I., Fazzi A., Guglielmi N., Applications of polynomial common factor computation in signal processing.
In: Latent Variable Analysis and Signal Separation. Lecture Notes in Computer Science.
Springer-Verlag, pp. 99–106 (2018).
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Fasino D., Fazzi A., A Gauss–Newton iteration for Total Least Squares problems.
BIT Numer. Math. 58 (2), pp. 281–299 (2018).
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