Angelo Alessandri

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 39

Top Venues

Publications

Damiano Padovani, Andrea Cioncolini, Angelo Alessandri
State Observers for Output Feedback Control of an Electromagnetic Levitation System. AMC (2024)
Shuwan Chen, Damiano Padovani, Andrea Cioncolini, Angelo Alessandri
A Cost-Effective Integrated Methodology for Electromagnetic Actuation via Visual Feedback. Sensors 24 (9) (2024)
Sophie Tarbouriech, Angelo Alessandri, Daniele Astolfi, Luca Zaccarian
LMI-Based Stubborn and Dead-Zone Redesign in Linear Dynamic Output Feedback. IEEE Control. Syst. Lett. 7 (2023)
Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche
Moving horizon estimation of Amnioserosa cell dynamics during Drosophila dorsal closure. Eur. J. Control 72 (2023)
Guitao Yang, Hamed Rezaee, Angelo Alessandri, Thomas Parisini
State estimation using a network of distributed observers with switching communication topology. Autom. 147 (2023)
Hasni Arezki, Angelo Alessandri, Ali Zemouche
Robust Moving Horizon Estimation for Lateral Vehicle Dynamics. ECC (2023)
Hasni Arezki, Ali Zemouche, Angelo Alessandri, Patrizia Bagnerini
LMI Design Procedure for Incremental Input/Output-to-State Stability in Nonlinear Systems. IEEE Control. Syst. Lett. 7 (2023)
Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche
High-Gain Estimation of mRNA and Protein Concentrations of a Genetic Regulatory Network. ECC (2022)
Angelo Alessandri, Ricardo G. Sanfelice
Hysteresis-based switching observers for linear systems using quadratic boundedness. Autom. 136 (2022)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso
Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. IEEE Trans. Control. Syst. Technol. 30 (2) (2022)
Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche
A High-Gain Observer for Stage-Structured Susceptible-Infectious Epidemic Model with Linear Incidence Rate. ACC (2022)
Angelo Alessandri, Patrizia Bagnerini, Christophe Prieur, Anna Rossi
Control of Normal Flow PDEs with ISS Properties. CDC (2021)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni
Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. IEEE Trans. Control. Syst. Technol. 29 (3) (2021)
Daniele Astolfi, Angelo Alessandri, Luca Zaccarian
Stubborn and Dead-Zone Redesign for Nonlinear Observers and Filters. IEEE Trans. Autom. Control. 66 (2) (2021)
Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Fazia Bedouhene, Ali Zemouche
Modeling and Estimation of Amnioserosa Cell Mechanical Behavior Using Moving Horizon Estimation. ACC (2021)
Dyhia Bouhadjra, Ali Zemouche, Angelo Alessandri, Patrizia Bagnerini
High-Gain Nonlinear Observer Using System State Augmentation. CDC (2020)
Angelo Alessandri, Francesca Boem
State Observers for Systems Subject to Bounded Disturbances Using Quadratic Boundedness. IEEE Trans. Autom. Control. 65 (12) (2020)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli
Parameter Estimation of Fire Propagation Models Using Level Set Methods. CoRR (2020)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi
State and observer-based feedback control of normal flow equations. Autom. 117 (2020)
Angelo Alessandri, Patrizia Bagnerini, C. Carmeli, Mauro Gaggero, Davide Lengani, Daniele Simoni
On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. CDC (2019)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Giacomo Casadei, Daniele Astolfi, Angelo Alessandri, Luca Zaccarian
Synchronization in Networks of Identical Nonlinear Systems via Dynamic Dead Zones. IEEE Control. Syst. Lett. 3 (3) (2019)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso
Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. ACC (2018)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni
Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CDC (2018)
Angelo Alessandri, Luca Zaccarian
Stubborn state observers for linear time-invariant systems. Autom. 88 (2018)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi
Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. ACC (2018)
Angelo Alessandri, Francesca Boem, Thomas Parisini
Model-Based Fault Detection and Estimation for Linear Time Invariant and Piecewise Affine Systems by Using Quadratic Boundedness. CDC (2018)
Maxime Dureau, Angelo Alessandri, Patrizia Bagnerini, Stéphane Vincent
Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
Parameter identification of the normal flow equation by using adaptive estimation. ACC (2017)
Angelo Alessandri, Mauro Gaggero
Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. IEEE Trans. Autom. Control. 62 (9) (2017)
Angelo Alessandri, Mauro Gaggero
Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. CDC (2017)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. CDC (2016)
Alberto Taddeo, Angelo Alessandri, Patrizia Bagnerini, Silvia Donnarumma
Backstepping-based stabilization of the pool-boiling system: An application of the circle criterion. ECC (2016)
Angelo Alessandri, Moath Awawdeh
Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers. Autom. 67 (2016)
Silvia Donnarumma, Luca Zacearian, Angelo Alessandri, Stefano Vignolo
Anti-windup synthesis of heading and speed regulators for ship control with actuator saturation. ECC (2016)
Angelo Alessandri, Danilo Percivale, Robertus Van der Putten
Optimal control of parallel buffers by using output feedback based on Practical Observers. CDC (2016)
Angelo Alessandri, Mauro Gaggero
Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. CDC (2016)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Alberto Traverso
Further results on the optimal control of fronts generated by level set methods. ACC (2016)
Angelo Alessandri, Ali Zemouche
On the enhancement of high-gain observers for state estimation of nonlinear systems. CDC (2016)
Houria Kheloufi, Fazia Bedouhene, Ali Zemouche, Angelo Alessandri
Observer-based stabilisation of linear systems with parameter uncertainties by using enhanced LMI conditions. Int. J. Control 88 (6) (2015)
Angelo Alessandri, Anna Rossi
Increasing-gain observers for nonlinear systems: Stability and design. Autom. 57 (2015)
Angelo Alessandri, Luca Zaccarian
Results on stubborn Luenberger observers for linear time-invariant plants. ECC (2015)
Angelo Alessandri, Anna Rossi
Adaptive state estimation for nonlinear systems based on the increasing-gain observer. CDC (2015)
Angelo Alessandri, Moath Awawdeh
Moving-horizon estimation for discrete-time linear systems with measurements subject to outliers. CDC (2014)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
Optimal control of level sets dynamics. ACC (2014)
Angelo Alessandri, Fazia Bedouhene, Houria Kheloufi, Ali Zemouche
Output feedback control for a class of switching discrete-time linear systems. CDC (2014)
Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
Robust predictive control for the management of multi-echelon distribution chains. CDC (2014)
Ali Zemouche, Angelo Alessandri
A new LMI condition for decentralized observer-based control of linear systems with nonlinear interconnections. CDC (2014)
Angelo Alessandri, Cristiano Cervellera, Mauro Gaggero
Predictive Control of Container Flows in Maritime Intermodal Terminals. IEEE Trans. Control. Syst. Technol. 21 (4) (2013)
Angelo Alessandri, Anna Rossi
Time-varying increasing-gain observers for nonlinear systems. Autom. 49 (9) (2013)
Angelo Alessandri, Fazia Bedouhene, Houria Kheloufi, Ali Zemouche
Output feedback control for discrete-time linear systems by using luenberger observers under unknown switching. CDC (2013)
Angelo Alessandri
Design of time-varying state observers for nonlinear systems by using input-to-state stability. ACC (2013)
Houria Kheloufi, Fazia Bedouhene, Ali Zemouche, Angelo Alessandri
Convex optimization approach to observer-based stabilization of linear systems with parameter uncertainties. CDC (2013)
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. ACC (2013)
Angelo Alessandri, Anna Rossi
On increasing-gain observers for nonlinear continuous-time systems. CDC (2013)
Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. IEEE Trans. Neural Networks Learn. Syst. 23 (6) (2012)
Angelo Alessandri, Roberto Filippini
Evaluation of Resilience of Interconnected Systems Based on Stability Analysis. CRITIS (2012)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems. SIAM J. Control. Optim. 50 (3) (2012)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. IEEE Trans. Neural Networks 22 (5) (2011)
Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
Integer tree-based search and mixed-integer optimal control of distribution chains. CDC/ECC (2011)
Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
Min-Max and Predictive Control for the Management of Distribution in Supply Chains. IEEE Trans. Control. Syst. Technol. 19 (5) (2011)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Victor M. Zavala
Advances in moving horizon estimation for nonlinear systems. CDC (2010)
Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti
Minimizing Sequences for a Family of Functional Optimal Estimation Problems. J. Optim. Theory Appl. 147 (2) (2010)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
A maximum-likelihood Kalman filter for switching discrete-time linear systems. Autom. 46 (11) (2010)
Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto
Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. IEEE Trans. Control. Syst. Technol. 17 (4) (2009)
Angelo Alessandri, Marta Cuneo, Elisabetta Punta
Sliding-mode state observers for multi-output nonlinear systems with bounded noises on dynamics and measurements. CDC (2009)
Angelo Alessandri, Lucia Cassettari, Roberto Mosca
Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison. Comput. Manag. Sci. 6 (1) (2009)
Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero
Nonlinear predictive control for the management of container flows in maritime intermodal terminals. CDC (2008)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Riccardo Zoppoli
Moving-horizon state estimation for nonlinear systems using neural networks. CDC (2008)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Maximum-likelihood Kalman filtering for switching discrete-time linear systems. CDC (2008)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes. Autom. 44 (7) (2008)
Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero, G. Soncin
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. IEEE Trans. Intell. Transp. Syst. 9 (4) (2008)
Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. IEEE Trans. Neural Networks 18 (1) (2007)
Angelo Alessandri, A. F. Grassia, Elisabetta Punta
Sliding-Mode State Observers for a Class of Nonlinear Continuous-Time Systems. ACC (2007)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Design of Observers with Commutation-Dependent Gains for Linear Switching Systems. ACC (2007)
Angelo Alessandri, Simona Sacone, Silvia Siri
Modelling and Optimal Receding-horizon Control of Maritime Container Terminals. J. Math. Model. Algorithms 6 (1) (2007)
Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto
Identification of freeway traffic dynamics using fluid and black-box nonlinear models. CDC (2007)
Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
A recursive algorithm for nonlinear least-squares problems. Comput. Optim. Appl. 38 (2) (2007)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Luenberger observers for switching discrete-time linear systems. Int. J. Control 80 (12) (2007)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Design of state estimators for uncertain linear systems using quadratic boundedness. Autom. 42 (3) (2006)
Angelo Alessandri, Raffaele Bolla, Aldo Filippo Grassia, Matteo Repetto
Identification of freeway macroscopic models using information from mobile phones. ACC (2006)
Angelo Alessandri, Cristiano Cervellera, Danilo Macciò, Marcello Sanguineti
Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems. CDC (2006)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Receding-horizon estimation for switching discrete-time linear systems. IEEE Trans. Autom. Control. 50 (11) (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties. CDC/ECC (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Luenberger Observers For Switching Discrete-Time Linear Systems. CDC/ECC (2005)
Angelo Alessandri, Marcello Sanguineti
Optimization of approximating networks for optimal fault diagnosis. Optim. Methods Softw. 20 (2-3) (2005)
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
state estimation problems. ACC (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Robust receding-horizon state estimation for uncertain discrete-time linear systems. Syst. Control. Lett. 54 (7) (2005)
Angelo Alessandri
Observer design for nonlinear systems by using Input-to-State Stability. CDC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini
New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems. CDC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
On estimation error bounds for receding-horizon filters using quadratic boundedness. IEEE Trans. Autom. Control. 49 (8) (2004)
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
Design of observers for continuous-time nonlinear systems using neural networks. ACC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
A minimax receding-horizon estimator for uncertain discrete-time linear systems. ACC (2004)
Angelo Alessandri
Adaptive neural network control of robotic manipulators: S.S. Ge, T.H. Lee and C.J. Harris; Volume19, World Scientific Publishing, 1998, 396pp, ISBN 981023452X. Autom. 40 (11) (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Receding-horizon estimation for switching discrete-time linear systems. CDC (2004)
Angelo Alessandri
Fault diagnosis for nonlinear systems using a bank of neural estimators. Comput. Ind. 52 (3) (2003)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Receding-horizon estimation for discrete-time linear systems. IEEE Trans. Autom. Control. 48 (3) (2003)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Robust receding-horizon estimation for uncertain discrete-time linear systems. ECC (2003)
Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
On the convergence of EKF-based parameters optimization for neural networks. CDC (2003)
Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia
Application of neural control to economic growth problems. CIFEr (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Angelo Alessandri