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ORCIDMichelangelo Bin
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2020 – today
- 2024
[j19]Andreu Cecilia
, Daniele Astolfi, Michelangelo Bin, Ramon Costa-Castelló:
Canceling output disturbances in observer design through internal model filters. Autom. 162: 111529 (2024)- [j18]Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi:
Robust internal models with a star-shaped attractor are linear. Autom. 166: 111698 (2024) - [j17]Michelangelo Bin, Ivano Notarnicola, Thomas Parisini:
Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization. Math. Program. 208(1): 629-660 (2024) - [i14]Matteo Scandella, Michelangelo Bin, Thomas Parisini:
Kernel-Based Learning of Stable Nonlinear Systems. CoRR abs/2409.10212 (2024) - 2023
- [j16]Ilario Antonio Azzollini, Michelangelo Bin, Lorenzo Marconi, Thomas Parisini:
Robust and scalable distributed recursive least squares. Autom. 158: 111265 (2023) - [j15]Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi:
About Robustness of Control Systems Embedding an Internal Model. IEEE Trans. Autom. Control. 68(3): 1306-1320 (2023) - [j14]Michelangelo Bin, Thomas Parisini:
A Small-Gain Theory for Abstract Systems on Topological Spaces. IEEE Trans. Autom. Control. 68(8): 4494-4507 (2023) - [j13]Ivano Notarnicola, Michelangelo Bin, Lorenzo Marconi, Giuseppe Notarstefano:
The Gradient Tracking Is a Distributed Integral Action. IEEE Trans. Autom. Control. 68(12): 7911-7918 (2023) - [c15]Michelangelo Bin, Lorenzo Marconi, Rodolphe Sepulchre:
An Internal Model Principle for Open Systems. CDC 2023: 1919-1924 - [c14]Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini, Zhong-Ping Jiang:
Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. CDC 2023: 7439-7444 - 2022
- [j12]Michelangelo Bin, Jie Huang, Alberto Isidori, Lorenzo Marconi, Matteo Mischiati, Eduardo D. Sontag:
Internal Models in Control, Bioengineering, and Neuroscience. Annu. Rev. Control. Robotics Auton. Syst. 5: 55-79 (2022) - [j11]Michelangelo Bin:
Generalized recursive least squares: Stability, robustness, and excitation. Syst. Control. Lett. 161: 105144 (2022) - [c13]Michelangelo Bin, Ivano Notarnicola, Thomas Parisini:
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CDC 2022: 1610-1615 - [c12]Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi:
Adaptive Nonlinear Regulation via Gaussian Processes. CDC 2022: 2532-2537 - [c11]Matteo Scandella, Michelangelo Bin, Thomas Parisini:
Group-Based Dimensionality Reduction and Estimation for Heterogeneous Large-Scale Traffic Networks. ECC 2022: 1937-1943 - [i13]Michelangelo Bin, Ivano Notarnicola, Thomas Parisini:
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization. CoRR abs/2204.10030 (2022) - [i12]Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi:
Adaptive Nonlinear Regulation via Gaussian Process. CoRR abs/2206.12225 (2022) - [i11]Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi:
Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models. CoRR abs/2210.15938 (2022) - 2021
- [j10]Michelangelo Bin, Emanuele Crisostomi, Pietro Ferraro, Roderick Murray-Smith, Thomas Parisini, Robert Shorten, Sebastian Stein:
Hysteresis-based supervisory control with application to non-pharmaceutical containment of COVID-19. Annu. Rev. Control. 52: 508-522 (2021) - [j9]Michelangelo Bin, Thomas Parisini:
A distributed methodology for approximate uniform global minimum sharing. Autom. 131: 109777 (2021) - [j8]Michelangelo Bin, Peter Y. K. Cheung, Emanuele Crisostomi, Pietro Ferraro, Hugo Lhachemi, Roderick Murray-Smith, Connor Myant, Thomas Parisini, Robert Shorten, Sebastian Stein, Lewi Stone:
Post-lockdown abatement of COVID-19 by fast periodic switching. PLoS Comput. Biol. 17(1) (2021) - [j7]Michelangelo Bin, Pauline Bernard, Lorenzo Marconi:
Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models. IEEE Trans. Autom. Control. 66(8): 3534-3549 (2021) - [j6]Michelangelo Bin, Lorenzo Marconi:
Model Identification and Adaptive State Observation for a Class of Nonlinear Systems. IEEE Trans. Autom. Control. 66(12): 5621-5636 (2021) - [c10]Arnob Ghosh, Matteo Scandella, Michelangelo Bin, Thomas Parisini:
Traffic-Light Control at Urban Intersections Using Expected Waiting-Time Information. CDC 2021: 1953-1959 - [c9]Ilario Antonio Azzollini, Michelangelo Bin, Pauline Bernard, Lorenzo Marconi:
Robust Frequency Estimation of Multi-Harmonic Signals. ECC 2021: 2633-2638 - [i10]Ekaterina Dudkina, Michelangelo Bin, Jane Breen, Emanuele Crisostomi, Pietro Ferraro, Steve Kirkland, Jakub Marecek, Roderick Murray-Smith, Thomas Parisini, Lewi Stone, Serife Yilmaz, Robert Shorten:
On node ranking in graphs. CoRR abs/2107.09487 (2021) - [i9]Michelangelo Bin, Lorenzo Marconi:
Output Regulation by Postprocessing Internal Models for a Class of Multivariable Nonlinear Systems. CoRR abs/2111.12678 (2021) - 2020
- [j5]Pauline Bernard, Michelangelo Bin, Lorenzo Marconi:
Adaptive output regulation via nonlinear Luenberger observer-based internal models and continuous-time identifiers. Autom. 122: 109261 (2020) - [j4]Michelangelo Bin, Lorenzo Marconi:
"Class-Type" Identification-Based Internal Models in Multivariable Nonlinear Output Regulation. IEEE Trans. Autom. Control. 65(10): 4369-4376 (2020) - [i8]Stefano Massaroli, Michael Poli, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Stable Neural Flows. CoRR abs/2003.08063 (2020) - [i7]Michelangelo Bin, Peter Y. K. Cheung, Emanuele Crisostomi, Pietro Ferraro, Connor Myant, Thomas Parisini, Robert Shorten:
On Fast Multi-Shot Epidemic Interventions for Post Lock-Down Mitigation: Implications for Simple Covid-19 Models. CoRR abs/2003.09930 (2020) - [i6]Michelangelo Bin, Lorenzo Marconi:
Model Identification and Adaptive State Observation for a Class of Nonlinear Systems. CoRR abs/2010.05251 (2020) - [i5]Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi:
About Robustness of Control Systems Embedding an Internal Model. CoRR abs/2010.08794 (2020) - [i4]Michelangelo Bin, Thomas Parisini:
A Distributed Methodology for Approximate Uniform Global Minimum Sharing. CoRR abs/2012.08940 (2020)
2010 – 2019
- 2019
- [j3]Michelangelo Bin, Lorenzo Marconi, Andrew R. Teel:
Adaptive output regulation for linear systems via discrete-time identifiers. Autom. 105: 422-432 (2019) - [c8]Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CDC 2019: 2994-2999 - [c7]Alessandro Melis, Michelangelo Bin, Lorenzo Marconi:
Adaptive Output Regulation for Multivariable Linear Systems via Slow Identifiers. ECC 2019: 4283-4288 - [i3]Michelangelo Bin, Pauline Bernard, Lorenzo Marconi:
Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models. CoRR abs/1907.05050 (2019) - [i2]Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. CoRR abs/1911.06665 (2019) - 2018
- [j2]Federico Califano, Michelangelo Bin, Alessandro Macchelli, Claudio Melchiorri:
Stability Analysis of Nonlinear Repetitive Control Schemes. IEEE Control. Syst. Lett. 2(4): 773-778 (2018) - [c6]Michelangelo Bin, Lorenzo Marconi, Andrew R. Teel:
Results on Adaptive Output Regulation for Linear Systems by Least-Squares Identifiers. CDC 2018: 1391-1396 - [c5]Michelangelo Bin, Lorenzo Marconi:
The Chicken-Egg Dilemma and the Robustness Issue in Nonlinear Output Regulation with a Look Towards Adaptation and Universal Approximators. CDC 2018: 5391-5396 - [c4]Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi, Laurent Praly:
About Robustness of Internal Model-Based Control for Linear and Nonlinear Systems. CDC 2018: 5397-5402 - [i1]Michelangelo Bin, Lorenzo Marconi:
Adaptive Post-Processing Internal Models Design for MIMO Minimum-Phase Nonlinear Systems. CoRR abs/1805.05629 (2018) - 2017
- [j1]Michelangelo Bin, Florent Di Meglio:
Boundary Estimation of Boundary Parameters for Linear Hyperbolic PDEs. IEEE Trans. Autom. Control. 62(8): 3890-3904 (2017) - [c3]Michelangelo Bin, Lorenzo Marconi, Andrew R. Teel:
Robust design of internal models by discrete recursive least squares identifiers. ACC 2017: 2411-2416 - [c2]Michelangelo Bin, Lorenzo Marconi:
Adaptive output regulation via post-processing internal models and hybrid identifiers. CDC 2017: 1478-1483 - 2016
- [c1]Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi:
Robust internal model design by nonlinear regression via low-power high-gain observers. CDC 2016: 4740-4745
Coauthor Index
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