default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichelangelo Bin
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
