 | 2009 |
| 13 |  | Massimo Canale,
Lorenzo Fagiano,
Mario Milanese:
Set Membership approximation theory for fast implementation of Model Predictive Control laws.
Automatica 45(1): 45-54 (2009) |
| 2008 |
| 12 |  | Carlo Novara,
Massimo Canale,
Mario Milanese:
Left-inversion of nonlinear fading memory systems from data.
CDC 2008: 1392-1397 |
| 11 |  | Carlo Novara,
Fredy Ruiz,
Mario Milanese:
Direct identification of optimal filters for LPV systems.
CDC 2008: 4503-4508 |
| 10 |  | Massimo Canale,
Lorenzo Fagiano,
Mario Milanese:
On the use of approximated predictive control laws for nonlinear systems.
CDC 2008: 4712-4717 |
| 2007 |
| 9 |  | Mario Milanese,
Carlo Novara:
Computation of local radius of information in SM-IBC identification of nonlinear systems.
J. Complexity 23(4-6): 937-951 (2007) |
| 2006 |
| 8 |  | Kenneth Hsu,
Carlo Novara,
Tyrone Vincent,
Mario Milanese,
Kameshwar Poolla:
Parametric and nonparametric curve fitting.
Automatica 42(11): 1869-1873 (2006) |
| 2005 |
| 7 |  | Mario Milanese,
Michele Taragna:
Hinfinity set membership identification: A survey.
Automatica 41(12): 2019-2032 (2005) |
| 2004 |
| 6 |  | Mario Milanese,
Carlo Novara:
Set Membership identification of nonlinear systems.
Automatica 40(6): 957-975 (2004) |
| 2001 |
| 5 |  | Giovani Pieri,
Michel R. Klein,
Mario Milanese:
A Knowledge Based System for the Maintenance of Chemical Plants and Its Implementation Using OPTRANS.
IEA/AIE 2001: 777-790 |
| 1993 |
| 4 |  | Mario Milanese,
N. Elia:
Worst-case l1 system identification using perturbed ARMA models.
ISCAS 1993: 786-789 |
| 3 |  | Mario Milanese,
Antonio Vicino:
Information-Based Complexity and Nonparametric Worst-Case System Identification.
J. Complexity 9(4): 427-446 (1993) |
| 1988 |
| 2 |  | Boleslaw Z. Kacewicz,
Mario Milanese,
Antonio Vicino:
Conditionally optimal algorithms and estimation of reduced order models.
J. Complexity 4(1): 73-85 (1988) |
| 1986 |
| 1 |  | Mario Milanese,
Roberto Tempo,
Antonio Vicino:
Strongly optimal algorithms and optimal information in estimation problems.
J. Complexity 2(1): 78-94 (1986) |