 | 2012 |
| 34 |  | Lorenzo Fagiano,
Massimo Canale,
Mario Milanese:
Set membership approximation of discontinuous nonlinear model predictive control laws.
Automatica 48(1): 191-197 (2012) |
| 2011 |
| 33 |  | Carlo Novara,
Lorenzo Fagiano,
Mario Milanese:
Direct data-driven inverse control of a power kite for high altitude wind energy conversion.
CCA 2011: 240-245 |
| 32 |  | Carlo Novara,
Lorenzo Fagiano,
Mario Milanese:
Sparse Set Membership identification of nonlinear functions and application to control of power kites for wind energy conversion.
CDC-ECE 2011: 3640-3645 |
| 31 |  | Mario Milanese,
Carlo Novara:
Unified Set Membership theory for identification, prediction and filtering of nonlinear systems.
Automatica 47(10): 2141-2151 (2011) |
| 30 |  | Carlo Novara,
Tyrone L. Vincent,
Kenneth Hsu,
Mario Milanese,
Kameshwar Poolla:
Parametric identification of structured nonlinear systems.
Automatica 47(4): 711-721 (2011) |
| 29 |  | Carlo Novara,
Fredy Ruiz,
Mario Milanese:
Direct Identification of Optimal SM-LPV Filters and Application to Vehicle Yaw Rate Estimation.
IEEE Trans. Contr. Sys. Techn. 19(1): 5-17 (2011) |
| 2010 |
| 28 |  | Massimo Canale,
Lorenzo Fagiano,
Mario Milanese,
Valentino Razza:
Control of Tethered Airfoils for Sustainable Marine Transportation.
CCA 2010: 1904-1909 |
| 27 |  | Mario Milanese,
Fredy Ruiz,
Michele Taragna:
Direct data-driven filter design for uncertain LTI systems with bounded noise.
Automatica 46(11): 1773-1784 (2010) |
| 26 |  | Fredy Ruiz,
Carlo Novara,
Mario Milanese:
Direct design from data of optimal filters for LPV systems.
Systems & Control Letters 59(1): 1-8 (2010) |
| 25 |  | Massimo Canale,
Carlo Novara,
Mario Milanese:
NSM constrained approximation of Lipschitz functions from data.
Systems & Control Letters 59(7): 396-403 (2010) |
| 2009 |
| 24 |  | Carlo Novara,
Fredy Ruiz,
Mario Milanese:
A new approach to optimal filter design for nonlinear systems.
CDC 2009: 5484-5489 |
| 23 |  | Lorenzo Fagiano,
Massimo Canale,
Mario Milanese:
Set Membership approximation of discontinuous NMPC laws.
CDC 2009: 8636-8641 |
| 22 |  | Massimo Canale,
Lorenzo Fagiano,
Mario Milanese:
Set Membership approximation theory for fast implementation of Model Predictive Control laws.
Automatica 45(1): 45-54 (2009) |
| 21 |  | Mario Milanese,
Carlo Novara,
Kenneth Hsu,
Kameshwar Poolla:
The filter design from data (FD2) problem: Nonlinear Set Membership approach.
Automatica 45(10): 2350-2357 (2009) |
| 2008 |
| 20 |  | Carlo Novara,
Massimo Canale,
Mario Milanese:
Left-inversion of nonlinear fading memory systems from data.
CDC 2008: 1392-1397 |
| 19 |  | Carlo Novara,
Fredy Ruiz,
Mario Milanese:
Direct identification of optimal filters for LPV systems.
CDC 2008: 4503-4508 |
| 18 |  | Massimo Canale,
Lorenzo Fagiano,
Mario Milanese:
On the use of approximated predictive control laws for nonlinear systems.
CDC 2008: 4712-4717 |
| 2007 |
| 17 |  | 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) |
| 16 |  | Vito Cerone,
Mario Milanese,
Diego Regruto:
Robust feedforward design for a two-degrees of freedom controller.
Systems & Control Letters 56(11-12): 736-741 (2007) |
| 2006 |
| 15 |  | Kenneth Hsu,
Carlo Novara,
Tyrone L. Vincent,
Mario Milanese,
Kameshwar Poolla:
Parametric and nonparametric curve fitting.
Automatica 42(11): 1869-1873 (2006) |
| 2005 |
| 14 |  | Mario Milanese,
Michele Taragna:
Hinfinity set membership identification: A survey.
Automatica 41(12): 2019-2032 (2005) |
| 2004 |
| 13 |  | Mario Milanese,
Carlo Novara:
Set Membership identification of nonlinear systems.
Automatica 40(6): 957-975 (2004) |
| 12 |  | Mario Milanese,
Carlo Novara:
Nonlinear Set Membership prediction of river flow.
Systems & Control Letters 53(1): 31-39 (2004) |
| 2001 |
| 11 |  | 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 |
| 1997 |
| 10 |  | Laura Giarré,
Boleslaw Z. Kacewicz,
Mario Milanese:
Model quality evaluation in set membership identification.
Automatica 33(6): 1133-1139 (1997) |
| 9 |  | S. Malan,
Mario Milanese,
Michele Taragna:
Robust Analysis and Design of Control Systems Using Interval Arithmetic.
Automatica 33(7): 1363-1372 (1997) |
| 1995 |
| 8 |  | Mario Milanese:
Properties of least squares estimates in set membership identification, .
Automatica 31(2): 327-332 (1995) |
| 1993 |
| 7 |  | Mario Milanese,
N. Elia:
Worst-case l1 system identification using perturbed ARMA models.
ISCAS 1993: 786-789 |
| 6 |  | Mario Milanese,
G. Fiorio,
S. Malan:
Robust performances control design for a high accuracy calibration device.
Automatica 29(1): 147-156 (1993) |
| 5 |  | Mario Milanese,
Antonio Vicino:
Information-Based Complexity and Nonparametric Worst-Case System Identification.
J. Complexity 9(4): 427-446 (1993) |
| 1991 |
| 4 |  | Mario Milanese,
Antonio Vicino:
Estimation theory for nonlinear models and set membership uncertainty.
Automatica 27(2): 403-408 (1991) |
| 3 |  | Mario Milanese,
Antonio Vicino:
Optimal estimation theory for dynamic systems with set membership uncertainty: An overview.
Automatica 27(6): 997-1009 (1991) |
| 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) |