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2020 – today
- 2023
[j6]Antonio Fazzi
, Ivan Markovsky:
Distance problems in the behavioral setting. Eur. J. Control 74: 100832 (2023)- [j5]Antonio Fazzi, Ivan Markovsky:
Addition and intersection of linear time-invariant behaviors. IFAC J. Syst. Control. 26: 100233 (2023) - [j4]Antonio Fazzi:
Structured low-rank approximation for nonlinear matrices. Numer. Algorithms 93(4): 1561-1580 (2023) - 2021
- [j3]Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
Generalized algorithms for the approximate matrix polynomial GCD of reducing data uncertainties with application to MIMO system and control. J. Comput. Appl. Math. 393: 113499 (2021) - [j2]Antonio Fazzi, Nicola Guglielmi, Christian Lubich:
Finding the Nearest Passive or Nonpassive System via Hamiltonian Eigenvalue Optimization. SIAM J. Matrix Anal. Appl. 42(4): 1553-1580 (2021) - [c3]Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen:
Data-Driven Simulation for NARX Systems. EUSIPCO 2021: 1055-1059 - 2020
- [i3]Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
A gradient system approach for Hankel structured low-rank approximation. CoRR abs/2002.06621 (2020) - [i2]Antonio Fazzi, Nicola Guglielmi, Christian Lubich:
A passivation algorithm for linear time-invariant systems. CoRR abs/2010.15954 (2020)
2010 – 2019
- 2019
- [j1]Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
An ODE-based method for computing the approximate greatest common divisor of polynomials. Numer. Algorithms 81(2): 719-740 (2019) - [c2]Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
Computing common factors of matrix polynomials with applications in system and control theory. CDC 2019: 7721-7726 - [i1]Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
Computing Approximate Common Factors of Matrix Polynomials. CoRR abs/1907.13101 (2019) - 2018
- [c1]Ivan Markovsky, Antonio Fazzi, Nicola Guglielmi:
Applications of Polynomial Common Factor Computation in Signal Processing. LVA/ICA 2018: 99-106
Coauthor Index
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