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Mario Milanese
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2020 – today
- 2024
- [i2]Mario Milanese, Carlo Novara, Michele Taragna:
On the Scientific Method: The Role of Hypotheses and Involved Mathematics. CoRR abs/2407.06225 (2024)
2010 – 2019
- 2019
- [j41]Carlo Novara
, Mario Milanese:
Control of MIMO nonlinear systems: A data-driven model inversion approach. Autom. 101: 417-430 (2019) - 2016
- [j40]Carlo Novara
, Simone Formentin
, Sergio M. Savaresi, Mario Milanese:
Data-driven design of two degree-of-freedom nonlinear controllers: The -IBC approach. Autom. 72: 19-27 (2016) - 2015
- [c43]Carlo Novara
, Simone Formentin
, Sergio M. Savaresi, Mario Milanese:
A data-driven approach to nonlinear braking control. CDC 2015: 1453-1458 - 2014
- [i1]Carlo Novara, Mario Milanese:
Control of nonlinear systems: a model inversion approach. CoRR abs/1407.1069 (2014) - 2013
- [j39]Carlo Novara
, Lorenzo Fagiano
, Mario Milanese:
Direct feedback control design for nonlinear systems. Autom. 49(4): 849-860 (2013) - [j38]Carlo Novara
, Fredy Ruiz
, Mario Milanese:
Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems. IEEE Trans. Autom. Control. 58(1): 86-99 (2013) - 2012
- [j37]Lorenzo Fagiano
, Massimo Canale, Mario Milanese:
Set membership approximation of discontinuous nonlinear model predictive control laws. Autom. 48(1): 191-197 (2012) - [j36]Lorenzo Fagiano
, Mario Milanese, Valentino Razza, Mario Bonansone:
High-Altitude Wind Energy for Sustainable Marine Transportation. IEEE Trans. Intell. Transp. Syst. 13(2): 781-791 (2012) - [c42]Lorenzo Fagiano, Mario Milanese:
Airborne Wind Energy: An overview. ACC 2012: 3132-3143 - [c41]Carlo Novara
, Lorenzo Fagiano
, Mario Milanese:
DFK control design for nonlinear systems. CDC 2012: 2140-2145 - [c40]Carlo Novara
, Fredy Ruiz
, Mario Milanese:
Robustly optimal filter design for nonlinear systems. CDC 2012: 6761-6766 - 2011
- [j35]Carlo Novara
, Tyrone L. Vincent, Kenneth Hsu, Mario Milanese, Kameshwar Poolla:
Parametric identification of structured nonlinear systems. Autom. 47(4): 711-721 (2011) - [j34]Mario Milanese, Carlo Novara
:
Unified Set Membership theory for identification, prediction and filtering of nonlinear systems. Autom. 47(10): 2141-2151 (2011) - [j33]Carlo Novara
, Fredy Ruiz
, Mario Milanese:
Direct Identification of Optimal SM-LPV Filters and Application to Vehicle Yaw Rate Estimation. IEEE Trans. Control. Syst. Technol. 19(1): 5-17 (2011) - [c39]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 - [c38]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/ECC 2011: 3640-3645 - 2010
- [j32]Mario Milanese, Fredy Ruiz
, Michele Taragna:
Direct data-driven filter design for uncertain LTI systems with bounded noise. Autom. 46(11): 1773-1784 (2010) - [j31]Fredy Ruiz
, Carlo Novara
, Mario Milanese:
Direct design from data of optimal filters for LPV systems. Syst. Control. Lett. 59(1): 1-8 (2010) - [j30]Massimo Canale, Carlo Novara
, Mario Milanese:
NSM constrained approximation of Lipschitz functions from data. Syst. Control. Lett. 59(7): 396-403 (2010) - [j29]Massimo Canale, Lorenzo Fagiano
, Mario Milanese:
Efficient Model Predictive Control for Nonlinear Systems via Function Approximation Techniques. IEEE Trans. Autom. Control. 55(8): 1911-1916 (2010) - [j28]Massimo Canale, Lorenzo Fagiano
, Mario Milanese:
High Altitude Wind Energy Generation Using Controlled Power Kites. IEEE Trans. Control. Syst. Technol. 18(2): 279-293 (2010) - [c37]Massimo Canale, Lorenzo Fagiano
, Mario Milanese, Valentino Razza:
Control of Tethered Airfoils for Sustainable Marine Transportation. CCA 2010: 1904-1909 - [c36]Mario Milanese, Lorenzo Fagiano, Dario Piga:
Control as a key technology for a radical innovation in wind energy generation. ACC 2010: 2361-2377 - [c35]Lorenzo Fagiano, Mario Milanese, Valentino Razza, I. Gerlero:
Control of power kites for naval propulsion. ACC 2010: 4325-4330
2000 – 2009
- 2009
- [j27]Massimo Canale, Lorenzo Fagiano
, Mario Milanese:
Set Membership approximation theory for fast implementation of Model Predictive Control laws. Autom. 45(1): 45-54 (2009) - [j26]Mario Milanese, Carlo Novara
, Kenneth Hsu, Kameshwar Poolla:
The filter design from data (FD2) problem: Nonlinear Set Membership approach. Autom. 45(10): 2350-2357 (2009) - [j25]Vito Cerone, Mario Milanese, Diego Regruto:
Combined Automatic Lane-Keeping and Driver's Steering Through a 2-DOF Control Strategy. IEEE Trans. Control. Syst. Technol. 17(1): 135-142 (2009) - [j24]Vito Cerone, Mario Milanese, Diego Regruto:
Yaw Stability Control Design Through a Mixed-Sensitivity Approach. IEEE Trans. Control. Syst. Technol. 17(5): 1096-1104 (2009) - [c34]Carlo Novara
, Fredy Ruiz
, Mario Milanese:
A new approach to optimal filter design for nonlinear systems. CDC 2009: 5484-5489 - [c33]Lorenzo Fagiano
, Massimo Canale, Mario Milanese:
Set Membership approximation of discontinuous NMPC laws. CDC 2009: 8636-8641 - [c32]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Carlo Novara:
Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity. ECC 2009: 2426-2431 - [c31]Fredy Ruiz, Michele Taragna, Mario Milanese:
Direct data-driven filter design for automotive controlled suspensions. ECC 2009: 4416-4421 - 2008
- [c30]Carlo Novara
, Massimo Canale, Mario Milanese:
Left-inversion of nonlinear fading memory systems from data. CDC 2008: 1392-1397 - [c29]Carlo Novara
, Fredy Ruiz
, Mario Milanese:
Direct identification of optimal filters for LPV systems. CDC 2008: 4503-4508 - [c28]Massimo Canale, Lorenzo Fagiano
, Mario Milanese:
On the use of approximated predictive control laws for nonlinear systems. CDC 2008: 4712-4717 - 2007
- [j23]Mario Milanese, Carlo Novara
:
Computation of local radius of information in SM-IBC identification of nonlinear systems. J. Complex. 23(4-6): 937-951 (2007) - [j22]Vito Cerone, Mario Milanese, Diego Regruto:
Robust feedforward design for a two-degrees of freedom controller. Syst. Control. Lett. 56(11-12): 736-741 (2007) - [j21]Stefano Malan, Mario Milanese, Pandeli Borodani, Alessandro Gallione:
Lateral Control of Autonomous Electric Cars for Relocation of Public Urban Mobility Fleet. IEEE Trans. Control. Syst. Technol. 15(3): 590-598 (2007) - [c27]Vito Cerone, Mario Milanese, Diego Regruto:
Hardware-in-the-loop (HIL) results on yaw stability control. CCA 2007: 1227-1232 - [c26]Vito Cerone, Mario Milanese, Diego Regruto:
Experimental results on combined automatic lane keeping and driver's steering. ACC 2007: 3126-3131 - [c25]Massimo Canale, Lorenzo Fagiano
, Mario Milanese, Massimo Ippolito:
KiteGen project: control as key technology for a quantum leap in wind energy generators. ACC 2007: 3522-3528 - [c24]Mario Milanese, Diego Regruto, Andrea Fortina:
Direct Virtual Sensor (DVS) design in vehicle sideslip angle estimation. ACC 2007: 3654-3658 - [c23]Massimo Canale, Lorenzo Fagiano
, Mario Milanese:
Fast implementation of predictive controllers using SM approximation methodologies. CDC 2007: 1361-1367 - [c22]Massimo Canale, Carlo Novara
, Mario Milanese:
NSM constrained approximation with application to fast predictive control. CDC 2007: 5722-5728 - 2006
- [j20]Kenneth Hsu, Carlo Novara
, Tyrone L. Vincent, Mario Milanese, Kameshwar Poolla:
Parametric and nonparametric curve fitting. Autom. 42(11): 1869-1873 (2006) - [j19]Massimo Canale, Mario Milanese, Carlo Novara
:
Semi-Active Suspension Control Using "Fast" Model-Predictive Techniques. IEEE Trans. Control. Syst. Technol. 14(6): 1034-1046 (2006) - [c21]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Pandeli Borodani:
Robust vehicle yaw control using active differential and internal model control techniques. ACC 2006: 1-6 - [c20]Mario Milanese, Carlo Novara, Kenneth Hsu, Kameshwar Poolla:
Filter design from data: direct vs. two-step approaches. ACC 2006: 1-5 - [c19]Massimo Canale, Lorenzo Fagiano, Massimo Ippolito, Mario Milanese:
Control of tethered airfoils for a new class of wind energy generator. CDC 2006: 4020-4026 - 2005
- [j18]Mario Milanese, Michele Taragna:
Hinfinity set membership identification: A survey. Autom. 41(12): 2019-2032 (2005) - [j17]Mario Milanese, Carlo Novara
:
Model quality in identification of nonlinear systems. IEEE Trans. Autom. Control. 50(10): 1606-1611 (2005) - [j16]Mario Milanese, Carlo Novara
:
Set membership prediction of nonlinear time series. IEEE Trans. Autom. Control. 50(11): 1655-1669 (2005) - [c18]Massimo Canale, Mario Milanese, Carlo Novara, Zuheir Ahmad:
Semi-active suspension control using "fast" model predictive control. ACC 2005: 274-281vol.1 - [c17]Stefano Malan, Mario Milanese, Pandeli Borodani, Alessandro Gallione:
Lateral control of autonomous electric cars for relocation of public urban mobility fleet. CDC/ECC 2005: 1988-1993 - [c16]Kenneth Hsu, Tyrone Vincent, Carlo Novara
, Mario Milanese, Kameshwar Poolla:
Identification of Nonlinear Maps in Interconnected Systems. CDC/ECC 2005: 6430-6435 - 2004
- [j15]Mario Milanese, Carlo Novara
:
Set Membership identification of nonlinear systems. Autom. 40(6): 957-975 (2004) - [j14]Mario Milanese, Carlo Novara
:
Nonlinear Set Membership prediction of river flow. Syst. Control. Lett. 53(1): 31-39 (2004) - [c15]Mario Milanese, Michele Taragna:
H∞ set membership identification: a survey. CDC 2004: 5162-5169 - 2003
- [j13]Massimo Canale, Mario Milanese:
Robust Design of Predictive Controllers in Presence of Unmodeled Dynamics. Eur. J. Control 9(5): 499-506 (2003) - [c14]Mario Milanese, Carlo Novara
, Luca Pivano:
Structured experimental modeling of complex nonlinear systems. CDC 2003: 5538-5543 - [c13]Mario Milanese, Carlo Novara
:
Model quality in nonlinear SM identification. CDC 2003: 6021-6026 - 2002
- [j12]Mario Milanese, Michele Taragna:
Optimality, approximation, and complexity in set membership H∞ identification. IEEE Trans. Autom. Control. 47(10): 1682-1690 (2002) - [c12]Mario Milanese, Carlo Novara:
Nonlinear set membership prediction of river flow. CDC 2002: 931-936 - [c11]Stefano Malan, Mario Milanese, Michele Taragna:
MATLAB tools for SM H∞ identification and guaranteed control performance computation. CDC 2002: 4203-4208 - [c10]Vito Cerone, Mario Milanese, Diego Regruto:
Robust feedforward design from data via approximate inverse SM identification. CDC 2002: 4664-4669 - 2001
- [c9]Carlo Novara, Mario Milanese:
Set membership prediction of nonlinear time series. CDC 2001: 2131-2136 - [c8]Massimo Canale, Mario Milanese:
Robust control of linear systems in presence of input saturation and unmodelled dynamics. CDC 2001: 4248-4253 - [c7]Mario Milanese, Carlo Novara, Michele Taragna:
"Fast" set membership H∞ identification from frequency-domain data. ECC 2001: 1698-1703 - [c6]Mario Milanese, Michele Taragna:
Nearly optimal model sets in H∞ identification. ECC 2001: 1704-1709 - [c5]Massimo Canale, Mario Milanese:
Robust design of predictive controllers in presence of unmodeled dynamics. ECC 2001: 3161-3166 - [c4]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 - 2000
- [c3]Carlo Novara
, Mario Milanese:
Set membership identification of nonlinear systems. CDC 2000: 2831-2836
1990 – 1999
- 1998
- [j11]Massimo Canale, Stefano Malan, Mario Milanese:
Model quality evaluation in identification for H∞ control. IEEE Trans. Autom. Control. 43(1): 125-132 (1998) - [c2]Mario Milanese, Michele Taragna:
SM identification of model sets for robust control design from data. Robustness in Identification and Control 1998: 17-34 - 1997
- [j10]Laura Giarré, Boleslaw Z. Kacewicz
, Mario Milanese:
Model quality evaluation in set membership identification. Autom. 33(6): 1133-1139 (1997) - [j9]Stefano Malan, Mario Milanese, Michele Taragna:
Robust Analysis and Design of Control Systems Using Interval Arithmetic. Autom. 33(7): 1363-1372 (1997) - [j8]Laura Giarré
, Mario Milanese, Michele Taragna:
H∞ identification and model quality evaluation. IEEE Trans. Autom. Control. 42(2): 188-199 (1997) - 1995
- [j7]Mario Milanese:
Properties of least squares estimates in set membership identification, . Autom. 31(2): 327-332 (1995) - 1993
- [j6]Mario Milanese, G. Fiorio, Stefano Malan:
Robust performances control design for a high accuracy calibration device. Autom. 29(1): 147-156 (1993) - [j5]Mario Milanese, Antonio Vicino
:
Information-Based Complexity and Nonparametric Worst-Case System Identification. J. Complex. 9(4): 427-446 (1993) - [c1]Mario Milanese, Nicola Elia:
Worst-case l1 system identification using perturbed ARMA models. ISCAS 1993: 786-789 - 1991
- [j4]Mario Milanese, Antonio Vicino
:
Estimation theory for nonlinear models and set membership uncertainty. Autom. 27(2): 403-408 (1991) - [j3]Mario Milanese, Antonio Vicino
:
Optimal estimation theory for dynamic systems with set membership uncertainty: An overview. Autom. 27(6): 997-1009 (1991)
1980 – 1989
- 1988
- [j2]Boleslaw Z. Kacewicz
, Mario Milanese, Antonio Vicino
:
Conditionally optimal algorithms and estimation of reduced order models. J. Complex. 4(1): 73-85 (1988) - 1986
- [j1]Mario Milanese, Roberto Tempo, Antonio Vicino
:
Strongly optimal algorithms and optimal information in estimation problems. J. Complex. 2(1): 78-94 (1986)
Coauthor Index
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last updated on 2024-08-13 21:46 CEST by the dblp team
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