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Giuseppe De Nicolao
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2020 – today
- 2024
- [c41]Laura Boca de Giuli, Alessio La Bella, Giuseppe De Nicolao, Riccardo Scattolini:
Lifelong Learning for Monitoring and Adaptation of Data-Based Dynamical Models: A Statistical Process Control Approach. ECC 2024: 947-952 - 2023
- [j87]Franco Blanchini, Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao, Giulia Giordano
:
Optimal control of compartmental models: The exact solution. Autom. 147: 110680 (2023) - [j86]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Multi-opinion Markovian agent networks: Parametrization, second order moment and social power. Autom. 153: 111026 (2023) - 2022
- [j85]Alessandro Incremona
Short-term forecasting of the Italian load demand during the Easter Week. Neural Comput. Appl. 34(8): 6257-6271 (2022) - [j84]Alberto Baccini
Just an artifact? The concordance between peer review and bibliometrics in economics and statistics in the Italian research assessment exercise. Quant. Sci. Stud. 3(1): 194-207 (2022) - [j83]Paolo Bolzern
Effect of Social Influence on a Two-Party Election: A Markovian Multiagent Model. IEEE Trans. Control. Netw. Syst. 9(3): 1056-1067 (2022) - [j82]Emanuele Fabbiani
Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment. IEEE Trans. Control. Syst. Technol. 30(4): 1750-1757 (2022) - [c40]Marco Capelletti, Davide M. Raimondo, Giuseppe De Nicolao:
Regression dilution effects in wind power prediction from wind speed forecasts. CCTA 2022: 137-143 - [c39]Franco Blanchini, Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao, Giulia Giordano:
Logarithmic Dynamics and Aggregation in Epidemics. CDC 2022: 4313-4318 - 2021
- [j81]Alessandro Incremona
Aggregation of nonlinearly enhanced experts with application to electricity load forecasting. Appl. Soft Comput. 112: 107857 (2021) - [c38]Franco Blanchini, Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao, Giulia Giordano
Generalized epidemiological compartmental models: guaranteed bounds via optimal control. CDC 2021: 3532-3537 - [i13]Giulia Giordano, Marta Colaneri, Alessandro Di Filippo, Franco Blanchini, Paolo Bolzern, Giuseppe De Nicolao, Paolo Sacchi, Raffaele Bruno, Patrizio Colaneri:
Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment. CoRR abs/2102.08704 (2021) - [i12]Giuseppe De Nicolao, Marta Colaneri, Alessandro Di Filippo, Franco Blanchini, Paolo Bolzern, Patrizio Colaneri, Giulia Giordano, Raffaele Bruno:
Preemptive periodic epidemic control reduces life and healthcare system costs without aggravation of social and economic losses. CoRR abs/2104.05597 (2021) - [i11]Alessandro Incremona, Giuseppe De Nicolao:
Regularization methods for the short-term forecasting of the Italian electric load. CoRR abs/2112.04604 (2021) - 2020
- [j80]Alessandro Incremona
Spectral Characterization of the Multi-Seasonal Component of the Italian Electric Load: A LASSO-FFT Approach. IEEE Control. Syst. Lett. 4(1): 187-192 (2020) - [j79]Emanuele Fabbiani, Andrea Marziali, Giuseppe De Nicolao
vanilla-option-pricing: Pricing and market calibration for options on energy commodities. Softw. Impacts 6: 100043 (2020) - [j78]Paolo Bolzern
Opinion Dynamics in Social Networks: The Effect of Centralized Interaction Tuning on Emerging Behaviors. IEEE Trans. Comput. Soc. Syst. 7(2): 362-372 (2020) - [i10]Emanuele Fabbiani, Pulkit Nahata, Giuseppe De Nicolao, Giancarlo Ferrari-Trecate:
Identification of AC Networks via Online Learning. CoRR abs/2003.06210 (2020)
2010 – 2019
- 2019
- [j77]Paolo Bolzern, Patrizio Colaneri
Opinion influence and evolution in social networks: A Markovian agents model. Autom. 100: 219-230 (2019) - [j76]Gianluigi Pillonetto, Alessandro Chiuso
Stable spline identification of linear systems under missing data. Autom. 108 (2019) - [j75]Mirko Messori
Model individualization for artificial pancreas. Comput. Methods Programs Biomed. 171: 133-140 (2019) - [j74]S. M. Lavezzi, Maurizio Rocchetti, P. Bettica, Stefania Petrini
Assessing drug effect from distributional data: A population approach with application to Duchenne Muscular Dystrophy treatment. Comput. Methods Programs Biomed. 178: 329-342 (2019) - [c37]Federica Acerbi, Giuseppe De Nicolao, Mirco Rampazzo:
Thermal Comfort Control in Air-Conditioned Buildings: new data-driven approaches to Neutral Temperature estimation. ECC 2019: 2368-2373 - [i9]Andrea Marziali, Emanuele Fabbiani
Short-term forecasting of Italian residential gas demand. CoRR abs/1901.02719 (2019) - [i8]Emanuele Fabbiani
Short-term forecasting of Italian gas demand. CoRR abs/1902.00097 (2019) - [i7]Alberto Baccini
Citation gaming induced by bibliometric evaluation: a country-level comparative analysis. CoRR abs/1904.04708 (2019) - [i6]Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao:
Stable spline identification of linear systems under missing data. CoRR abs/1908.03913 (2019) - 2018
- [c36]Federica Acerbi, Giuseppe De Nicolao, Josef Obiltschnig, Patrick Richter, Cristina De Luca:
Accuracy and Robustness Against Covariate Shift of Water Chiller Models. CASE 2018: 809-816 - [c35]Paolo Bolzern, Patrizio Colaneri
Opinion Dynamics in Social Networks with Heterogeneous Markovian Agents. CDC 2018: 6180-6185 - [c34]Federica Acerbi, Giuseppe De Nicolao:
Identification of the Gordon- Ng Chiller Model: Linear or Nonlinear Least Squares? ETFA 2018: 1314-1321 - 2017
- [i5]Alberto Baccini, Giuseppe De Nicolao:
Errors and secret data in the Italian research assessment exercise. A comment to a reply. CoRR abs/1707.06822 (2017) - [i4]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Opinion influence and evolution in social networks: a Markovian agents model. CoRR abs/1711.09802 (2017) - 2016
- [j73]Paolo Bolzern, Patrizio Colaneri
Design of stabilizing strategies for discrete-time dual switching linear systems. Autom. 69: 93-100 (2016) - [j72]Gianluigi Pillonetto, Tianshi Chen
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. 69: 137-149 (2016) - [j71]Alberto Baccini
Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise. Scientometrics 108(3): 1651-1671 (2016) - [j70]Alberto Baccini
Reply to the comment of Bertocchi et al. Scientometrics 108(3): 1675-1684 (2016) - 2015
- [j69]Gian Antonio Susto
Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. Comput. Oper. Res. 53: 328-337 (2015) - [j68]Alberto Baccini
University ranking methodologies. An interview with Ben Sowter about the Quacquarelli Symonds World University Ranking. Roars Trans. 3(1) (2015) - [c33]Paolo Bolzern, Patrizio Colaneri
H∞ co-design for discrete-time dual switching linear systems. ECC 2015: 1742-1747 - [c32]Alice Guerini, Giuseppe De Nicolao:
Long-term electric load forecasting: A torus-based approach. ECC 2015: 2768-2773 - [i3]Alberto Baccini, Giuseppe De Nicolao:
Do they agree? Bibliometric evaluation vs informed peer review in the Italian research assessment exercise. CoRR abs/1505.00115 (2015) - [i2]Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung:
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR abs/1507.00564 (2015) - 2014
- [j67]Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen
Kernel methods in system identification, machine learning and function estimation: A survey. Autom. 50(3): 657-682 (2014) - [j66]Paolo Bolzern, Patrizio Colaneri
Stochastic stability of Positive Markov Jump Linear Systems. Autom. 50(4): 1181-1187 (2014) - [c31]Paolo Bolzern, Patrizio Colaneri
Stabilization via switching of positive Markov jump linear systems. CDC 2014: 2359-2364 - 2013
- [j65]Costanza D'Avanzo, Anahita Goljahani, Gianluigi Pillonetto, Giuseppe De Nicolao, Giovanni Sparacino:
A multi-task learning approach for the extraction of single-trial evoked potentials. Comput. Methods Programs Biomed. 110(2): 125-136 (2013) - [j64]Paolo Bolzern, Patrizio Colaneri
Almost Sure Stability of Markov Jump Linear Systems With Deterministic Switching. IEEE Trans. Autom. Control. 58(1): 209-213 (2013) - 2012
- [j63]P. Soru, Giuseppe De Nicolao, Chiara Toffanin
MPC based Artificial Pancreas: Strategies for individualization and meal compensation. Annu. Rev. Control. 36(1): 118-128 (2012) - [j62]Alberto Russu, Giuseppe De Nicolao, Italo Poggesi, Marta Neve, Roberto Gomeni:
Bayesian population approaches to the analysis of dose escalation studies. Comput. Methods Programs Biomed. 107(2): 189-201 (2012) - [j61]Chiara Zecchin
Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration. IEEE Trans. Biomed. Eng. 59(6): 1550-1560 (2012) - [j60]Stefania Guerra, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli:
Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach. IEEE Trans. Biomed. Eng. 59(6): 1658-1669 (2012) - [j59]Paolo Magni
A Minimal Model of Tumor Growth Inhibition in Combination Regimens Under the Hypothesis of No Interaction Between Drugs. IEEE Trans. Biomed. Eng. 59(8): 2161-2170 (2012) - [j58]Stephen D. Patek, Lalo Magni
Modular Closed-Loop Control of Diabetes. IEEE Trans. Biomed. Eng. 59(11-1): 2986-2999 (2012) - [c30]Simone Pampuri
Multistep virtual metrology approaches for semiconductor manufacturing processes. CASE 2012: 91-96 - [c29]Gian Antonio Susto
An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. CASE 2012: 358-363 - 2011
- [j57]Gianluigi Pillonetto, Alessandro Chiuso
Prediction error identification of linear systems: A nonparametric Gaussian regression approach. Autom. 47(2): 291-305 (2011) - [j56]Alberto Russu, Italo Poggesi, Roberto Gomeni, Giuseppe De Nicolao:
Bayesian Population Modeling of Phase I Dose Escalation Studies: Gaussian Process Versus Parametric Approaches. IEEE Trans. Biomed. Eng. 58(11): 3156-3164 (2011) - [j55]Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao:
Client-Server Multitask Learning From Distributed Datasets. IEEE Trans. Neural Networks 22(2): 290-303 (2011) - [c28]Simone Pampuri
Multilevel Lasso applied to Virtual Metrology in semiconductor manufacturing. CASE 2011: 244-249 - [c27]Simone Pampuri
Proportional hazard model with ℓ1 Penalization applied to Predictive Maintenance in semiconductor manufacturing. CASE 2011: 250-255 - [c26]Gianluigi Pillonetto, Giuseppe De Nicolao:
Kernel selection in linear system identification Part I: A Gaussian process perspective. CDC/ECC 2011: 4318-4325 - [c25]Paolo Bolzern, Patrizio Colaneri
Almost sure stability of Markov jump linear systems with dwell-time constrained switching dynamics. CDC/ECC 2011: 5461-5466 - [c24]Chiara Zecchin
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. EMBC 2011: 5653-5656 - [c23]Andrea Schirru, Simone Pampuri, Cristina De Luca, Giuseppe De Nicolao:
Nonparametric Virtual Sensors for Semiconductor Manufacturing - Using Information Theoretic Learning and Kernel Machines. ICINCO (2) 2011: 349-358 - 2010
- [j54]Gianluigi Pillonetto, Giuseppe De Nicolao:
A new kernel-based approach for linear system identification. Autom. 46(1): 81-93 (2010) - [j53]Paolo Bolzern, Patrizio Colaneri
Markov Jump Linear Systems with switching transition rates: Mean square stability with dwell-time. Autom. 46(6): 1081-1088 (2010) - [j52]Gianluigi Pillonetto, Francesco Dinuzzo, Giuseppe De Nicolao:
Bayesian Online Multitask Learning of Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 32(2): 193-205 (2010) - [c22]Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao:
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels. ACC 2010: 498-503 - [c21]Andrea Schirru
Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing. CASE 2010: 51-56 - [c20]Andrea Schirru
Multilevel statistical process control of asynchronous multi-stream processes in semiconductor manufacturing. CASE 2010: 57-62
2000 – 2009
- 2009
- [j51]Gianluigi Pillonetto, Giuseppe De Nicolao, Marco Chierici
Fast algorithms for nonparametric population modeling of large data sets. Autom. 45(1): 173-179 (2009) - [j50]Lalo Magni
Model predictive control of glucose concentration in type I diabetic patients: An in silico trial. Biomed. Signal Process. Control. 4(4): 338-346 (2009) - [j49]Francesco Dinuzzo, Giuseppe De Nicolao:
An algebraic characterization of the optimum of regularized kernel methods. Mach. Learn. 74(3): 315-345 (2009) - [j48]Marta Neve, Giuseppe De Nicolao, Giovanni Prodi, Carlo Siviero:
Estimation of Engine Maps: A Regularized Basis-Function Networks Approach. IEEE Trans. Control. Syst. Technol. 17(3): 716-722 (2009) - [c19]Paolo Bolzern, Patrizio Colaneri
Mean square stability of Markov Jump Linear Systems with piecewise constant transition rates under dwell-time specifications. ECC 2009: 3233-3238 - 2008
- [j47]Paolo Bolzern, Patrizio Colaneri
Almost Sure Stability of Stochastic Linear Systems with Ergodic Parameters. Eur. J. Control 14(2): 114-123 (2008) - [j46]Marta Neve, Giuseppe De Nicolao, Laura Marchesi:
Nonparametric Identification of Population Models: An MCMC Approach. IEEE Trans. Biomed. Eng. 55(1): 41-50 (2008) - [j45]Paolo Magni
A Minimal Model of Tumor Growth Inhibition. IEEE Trans. Biomed. Eng. 55(12): 2683-2690 (2008) - [c18]Giuseppe De Nicolao, Gianluigi Pillonetto:
A new kernel-based approach for system identification. ACC 2008: 4510-4516 - [c17]Gianluigi Pillonetto, Francesco Dinuzzo, Giuseppe De Nicolao:
Bayesian online multi-task learning using regularization networks. ACC 2008: 4517-4522 - [c16]Gianluigi Pillonetto, Alessandro Chiuso
Predictor estimation via Gaussian regression. CDC 2008: 744-749 - [c15]Alessandro Chiuso
Subspace identification using predictor estimation via Gaussian regression. CDC 2008: 3299-3304 - [i1]Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao:
Client-server multi-task learning from distributed datasets. CoRR abs/0812.4235 (2008) - 2007
- [j44]Marta Neve, Giuseppe De Nicolao, Laura Marchesi:
Nonparametric identification of population models via Gaussian processes. Autom. 43(7): 1134-1144 (2007) - [j43]Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli:
ACID: Automatic Sort-Map Classification for Interactive Process Diagnosis. IEEE Des. Test Comput. 24(4): 352-361 (2007) - [j42]Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao, Ugo Pietro Gianazza:
On the Representer Theorem and Equivalent Degrees of Freedom of SVR. J. Mach. Learn. Res. 8: 2467-2495 (2007) - [j41]Giuseppe De Nicolao, Antonella Ferrara
Onboard Sensor-Based Collision Risk Assessment to Improve Pedestrians' Safety. IEEE Trans. Veh. Technol. 56(5): 2405-2413 (2007) - [c14]Giuseppe De Nicolao, Gianluigi Pillonetto, Marco Chierici
Efficient Nonparametric Population Modeling for Large Data Sets. ACC 2007: 2921-2926 - 2006
- [j40]Paolo Bolzern, Patrizio Colaneri
On almost sure stability of continuous-time Markov jump linear systems. Autom. 42(6): 983-988 (2006) - [c13]Paolo Bolzern, Patrizio Colaneri
Almost sure stability of stochastic linear systems with ergodic parameters: an average contractivity criterion. CDC 2006: 950-954 - 2005
- [j39]Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Egidio Pasquinetti, Francesco Piccinini:
Unsupervised spatial pattern classification of electrical-wafer-sorting maps in semiconductor manufacturing. Pattern Recognit. Lett. 26(12): 1857-1865 (2005) - [c12]Marta Neve, Giuseppe De Nicolao, Laura Marchesi:
Nonparametric identification of population pharmacokinetic models: an MCMC approach. ACC 2005: 991-996vol.2 - [c11]Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli:
Process Diagnosis via Electrical-Wafer-Sorting Maps Classification. ICDM 2005: 601-604 - 2004
- [j38]Moritz Diehl, Lalo Magni
Efficient NMPC of unstable periodic systems using approximate infinite horizon closed loop costing. Annu. Rev. Control. 28(1): 37-45 (2004) - [j37]Paolo Bolzern, Patrizio Colaneri
On discrete-time H∞ fixed-lag smoothing. IEEE Trans. Signal Process. 52(1): 132-141 (2004) - [c10]Paolo Bolzern, Patrizio Colaneri
On almost sure stability of discrete-time Markov jump linear systems. CDC 2004: 3204-3208 - 2003
- [j36]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
Regularization networks for inverse problems: A state-space approach. Autom. 39(4): 669-676 (2003) - 2002
- [j35]Giovanni Sparacino, Gianluigi Pillonetto, Massimo Capello, Giuseppe De Nicolao, Claudio Cobelli:
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems. Comput. Methods Programs Biomed. 67(1): 67-77 (2002) - [c9]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
H∞ smoothing in discrete-time: a direct approach. CDC 2002: 4233-4238 - 2001
- [j34]Paolo Magni, Giuseppe De Nicolao, Lorenza Magnani, Riccardo Scattolini
A stabilizing model-based predictive control algorithm for nonlinear systems. Autom. 37(9): 1351-1362 (2001) - [j33]Paolo Magni, Giuseppe De Nicolao, Riccardo Scattolini
Output feedback and tracking of nonlinear systems with model predictive control. Autom. 37(10): 1601-1607 (2001) - [j32]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
Regularization networks: fast weight calculation via Kalman filtering. IEEE Trans. Neural Networks 12(2): 228-235 (2001) - [c8]Giancarlo Ferrari-Trecate
NARX models: optimal parametric approximation of nonparametric estimators. ACC 2001: 4868-4873 - [c7]Giancarlo Ferrari-Trecate
Computing the equivalent number of parameters of fixed-interval smoothers. CDC 2001: 2905-2910 - 2000
- [j31]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
Fast spline smoothing via spectral factorization concepts. Autom. 36(11): 1733-1739 (2000) - [j30]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Tradeoff between Mean-Square and Worst-Case Performances in Adaptive Filtering. Eur. J. Control 6(1): 78-88 (2000) - [j29]Ali H. Sayed, Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Discussion on: 'Tradeoff between Mean-Square and Worst-Case Performances in Adaptive Filtering' by P. Bolzern, P. Colaneri and G. De Nicolao. Eur. J. Control 6(1): 89-92 (2000) - [j28]Riccardo Bellazzi
Bayesian analysis of blood glucose time series from diabetes home monitoring. IEEE Trans. Biomed. Eng. 47(7): 971-975 (2000) - [c6]Giuseppe De Nicolao, Lorenza Magnani, Lalo Magni, Riccardo Scattolini:
A stabilizing receding horizon controller for nonlinear discrete time systems. ACC 2000: 270-271 - [c5]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
A Kalman filtering algorithm for regularization networks. ACC 2000: 2220-2224
1990 – 1999
- 1999
- [j27]Paolo Bolzern, Patrizio Colaneri
Hinfinity-robustness of adaptive filters against measurement noise and parameter drift. Autom. 35(9): 1509-1520 (1999) - [j26]Giuseppe De Nicolao, Gerhard Freiling, Gerhard Jank, A. Abou-Kandil:
Discussion on: 'Discrete-Time Riccati Equations in Open-Loop Nash and Stackelberg Games' by G. Freiling, G. Jank and H. Abou-Kandil. Eur. J. Control 5(1): 67-69 (1999) - [j25]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
Consistent identification of NARX models via regularization networks. IEEE Trans. Autom. Control. 44(11): 2045-2049 (1999) - [j24]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
On the Wold decomposition of discrete-time cyclostationary processes. IEEE Trans. Signal Process. 47(7): 2041-2043 (1999) - [c4]Riccardo Bellazzi
Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions. AIMDM 1999: 261-270 - 1998
- [j23]Giuseppe De Nicolao, Giancarlo Ferrari-Trecate
Zeros of Continuous-time Linear Periodic Systems. Autom. 34(12): 1651-1655 (1998) - [j22]Paolo Magni
Bayesian Function Learning Using MCMC Methods. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1319-1331 (1998) - [j21]Giuseppe De Nicolao, Lalo Magni
Stabilizing receding-horizon control of nonlinear time-varying systems. IEEE Trans. Autom. Control. 43(7): 1030-1036 (1998) - [c3]Riccardo Bellazzi, Paolo Magni, Cristiana Larizza, Giuseppe De Nicolao, Alberto Riva, Mario Stefanelli:
Mining biomedical time series by combining structural analysis and temporal abstractions. AMIA 1998 - [c2]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Robustness and performance in adaptive filtering. Robustness in Identification and Control 1998: 174-189 - [c1]Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini:
Robustness of receding horizon control for nonlinear discrete-time systems. Robustness in Identification and Control 1998: 408-421 - 1997
- [j20]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Finite escapes and convergence properties of guaranteed-cost robust filters. Autom. 33(1): 31-47 (1997) - [j19]Giuseppe De Nicolao, Silvia Carla Strada
On the use of reachability Gramians for the stabilization of linear periodic systems. Autom. 33(4): 729-732 (1997) - [j18]Giuseppe De Nicolao, Giovanni Sparacino, Claudio Cobelli:
Nonparametric input estimation in physiological systems: Problems, methods, and case studies. Autom. 33(5): 851-870 (1997) - [j17]Giuseppe De Nicolao, Lalo Magni
Stabilizing Predictive Control of Nonlinear ARX Models. Autom. 33(9): 1691-1697 (1997) - [j16]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Transient and Asymptotic Analysis of Discrete-Time H∞-Filters. Eur. J. Control 3(4): 317-324 (1997) - [j15]Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao:
Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach. Intell. Data Anal. 1(1-4): 245-262 (1997) - [j14]Paolo Bolzern, Patrizio Colaneri
H∞-differential Riccati equations: convergence properties and finite escape phenomena. IEEE Trans. Autom. Control. 42(1): 113-118 (1997) - [j13]Giuseppe De Nicolao, Silvia Carla Strada
On the stability of receding-horizon LQ control with zero-state terminal constraint. IEEE Trans. Autom. Control. 42(2): 257-260 (1997) - 1996
- [j12]Giuseppe De Nicolao, Riccardo Scattolini
An adaptive predictive regulator with input saturations. Autom. 32(4): 597-601 (1996) - [j11]Giuseppe De Nicolao, Lalo Magni
Robust predictive control of systems with uncertain impulse response. Autom. 32(10): 1475-1479 (1996) - [j10]Giuseppe De Nicolao, Lalo Magni
On the robustness of receding-horizon control with terminal constraints. IEEE Trans. Autom. Control. 41(3): 451-453 (1996) - 1995
- [j9]Riccardo Bellazzi
Adaptive controllers for intelligent monitoring. Artif. Intell. Medicine 7(6): 515-540 (1995) - [j8]Patrizio Colaneri, Giuseppe De Nicolao:
Multirate LQG control of continuous-time stochastic systems. Autom. 31(4): 591-596 (1995) - [j7]Giuseppe De Nicolao, Diego Liberati, Alessandro Sartorio:
Deconvolution of infrequently sampled data for the estimation of growth hormone secretion. IEEE Trans. Biomed. Eng. 42(7): 678-687 (1995) - 1994
- [j6]Sergio Bittanti, Giuseppe De Nicolao:
The autonomous linear quadratic control problem: Theory and numerical solutions : V. M. Mehrmann. Autom. 30(3): 555-556 (1994) - [j5]Giuseppe De Nicolao:
Cyclomonotonicity, riccati equations and periodic receding horizon control. Autom. 30(9): 1375-1388 (1994) - [j4]Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
On the computation of upper covariance bounds for perturbed linear systems. IEEE Trans. Autom. Control. 39(3): 623-626 (1994) - [j3]Giuseppe De Nicolao, Fabrizio Lorito, Silvia Carla Strada
On 'Comparison and extensions of control methods for narrow-band disturbance rejection'. IEEE Trans. Speech Audio Process. 2(3): 459-461 (1994) - 1993
- [j2]Sergio Bittanti, Giuseppe De Nicolao:
Spectral factorization of linear periodic systems with application to the optimal prediction of periodic ARMA models. Autom. 29(2): 517-522 (1993) - [j1]Giuseppe De Nicolao, Diego Liberati:
Linear and nonlinear techniques for the deconvolution of hormone time-series. IEEE Trans. Biomed. Eng. 40(5): 440-455 (1993)
Coauthor Index
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last updated on 2024-11-20 21:02 CET by the dblp team
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