Nonlinear modeling of complex large-scale plants using neural networks and stochastic approximation. - Angelo Alessandri; Thomas Parisini (IEEE Trans. Syst. Man Cybern. Part A, 1997)

Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. - Angelo Alessandri; Manfredi Maggiore; Marcello Sanguineti (ESANN, 1998)

A neural state estimator with bounded errors for nonlinear systems. - Angelo Alessandri; Marco Baglietto; Thomas Parisini; Riccardo Zoppoli (IEEE Trans. Autom. Control., 1999)

Navigation for underwater vehicles based on asynchronous nonlinear estimation. - Angelo Alessandri; Paolo Coletta (ACC, 2000)

Design of sliding-mode observers and filters for nonlinear dynamic systems. - Angelo Alessandri (CDC, 2000)

On estimators for nonlinear systems in Lp spaces. - Angelo Alessandri; Marcello Sanguineti (CDC, 2000)

Switching observers for continuous-time and discrete-time linear systems. - Angelo Alessandri; Paolo Coletta (ACC, 2001)

Lp-stable and asymptotic estimators for nonlinear dynamic systems. - Angelo Alessandri; Marcello Sanguineti (ACC, 2001)

On the design of approximate state estimators for nonlinear systems. - Angelo Alessandri; Marcello Sanguineti (CDC, 2001)

A receding-horizon estimator for discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Thomas Parisini; Riccardo Zoppoli (ECC, 2001)

An LMI approach to multi-model estimation for discrete-time linear systems. - Angelo Alessandri; Paolo Coletta (ECC, 2001)

PF-stable estimators for nonlinear systems. - Angelo Alessandri; Marcello Sanguineti (ECC, 2001)

Design of Luenberger Observers for a Class of Hybrid Linear Systems. - Angelo Alessandri; Paolo Coletta (HSCC, 2001)

Batch-mode identification of black-box models using feedforward neural networks. - Angelo Alessandri; Marcello Sanguineti; Manfredi Maggiore (ACC, 2002)

Optimal neural feedback control applied to a problem of economic growth in freight transport market. - Angelo Alessandri; Cristiano Cervellera; Filippo Aldo Grassia (CDC, 2002)

Optimized feedforward neural networks for on-line identification of nonlinear models. - Angelo Alessandri; Marcello Sanguineti; Manfredi Maggiore (CDC, 2002)

Optimization-based learning with bounded error for feedforward neural networks. - Angelo Alessandri; Marcello Sanguineti; Manfredi Maggiore (IEEE Trans. Neural Networks, 2002)

Estimation of freeway traffic variables using information from mobile phones. - Angelo Alessandri; Raffaele Bolla; Matteo Repetto (ACC, 2003)

Design of observers for switched discrete-time linear systems. - Angelo Alessandri; Paolo Coletta (ACC, 2003)

Receding-horizon estimation for noisy nonlinear discrete-time systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Thomas Parisini (CDC, 2003)

On the convergence of EKF-based parameters optimization for neural networks. - Angelo Alessandri; Marta Cuneo; S. Pagnan; Marcello Sanguineti (CDC, 2003)

Application of neural control to economic growth problems. - Angelo Alessandri; Cristiano Cervellera; Filippo Aldo Grassia (CIFEr, 2003)

Robust receding-horizon estimation for uncertain discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (ECC, 2003)

EKF learning for feedforward neural networks. - Angelo Alessandri; G. Cirimele; Marta Cuneo; S. Pagnan; Marcello Sanguineti (ECC, 2003)

Fault diagnosis for nonlinear systems using a bank of neural estimators. - Angelo Alessandri (Comput. Ind., 2003)

Receding-horizon estimation for discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (IEEE Trans. Autom. Control., 2003)

A minimax receding-horizon estimator for uncertain discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (ACC, 2004)

Design of observers for continuous-time nonlinear systems using neural networks. - Angelo Alessandri; Cristiano Cervellera; Filippo Aldo Grassia; Marcello Sanguineti (ACC, 2004)

Observer design for nonlinear systems by using Input-to-State Stability. - Angelo Alessandri (CDC, 2004)

New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Thomas Parisini (CDC, 2004)

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. - Angelo Alessandri (Autom., 2004)

On estimation error bounds for receding-horizon filters using quadratic boundedness. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (IEEE Trans. Autom. Control., 2004)

An approximate solution to optimal Lp state estimation problems. - Angelo Alessandri; Cristiano Cervellera; Filippo Aldo Grassia; Marcello Sanguineti (ACC, 2005)

Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (CDC/ECC, 2005)

Optimization of approximating networks for optimal fault diagnosis. - Angelo Alessandri; Marcello Sanguineti (Optim. Methods Softw., 2005)

Robust receding-horizon state estimation for uncertain discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (Syst. Control. Lett., 2005)

Receding-horizon estimation for switching discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (IEEE Trans. Autom. Control., 2005)

Identification of freeway macroscopic models using information from mobile phones. - Angelo Alessandri; Raffaele Bolla; Aldo Filippo Grassia; Matteo Repetto (ACC, 2006)

Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems. - Angelo Alessandri; Cristiano Cervellera; Danilo Macciò; Marcello Sanguineti (CDC, 2006)

Design of state estimators for uncertain linear systems using quadratic boundedness. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (Autom., 2006)

Design of Observers with Commutation-Dependent Gains for Linear Switching Systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (ACC, 2007)

Sliding-Mode State Observers for a Class of Nonlinear Continuous-Time Systems. - Angelo Alessandri; Aldo Filippo Grassia; Elisabetta Punta (ACC, 2007)

Identification of freeway traffic dynamics using fluid and black-box nonlinear models. - Angelo Alessandri; Raffaele Bolla; Mauro Gaggero; Matteo Repetto (CDC, 2007)

A recursive algorithm for nonlinear least-squares problems. - Angelo Alessandri; Marta Cuneo; S. Pagnan; Marcello Sanguineti (Comput. Optim. Appl., 2007)

Luenberger observers for switching discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (Int. J. Control, 2007)

Modelling and Optimal Receding-horizon Control of Maritime Container Terminals. - Angelo Alessandri; Simona Sacone; Silvia Siri (J. Math. Model. Algorithms, 2007)

Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. - Angelo Alessandri; Cristiano Cervellera; Marcello Sanguineti (IEEE Trans. Neural Networks, 2007)

Maximum-likelihood Kalman filtering for switching discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (CDC, 2008)

Moving-horizon state estimation for nonlinear systems using neural networks. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Riccardo Zoppoli (CDC, 2008)

Nonlinear predictive control for the management of container flows in maritime intermodal terminals. - Angelo Alessandri; Cristiano Cervellera; Marta Cuneo; Mauro Gaggero (CDC, 2008)

Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (Autom., 2008)

Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. - Angelo Alessandri; Cristiano Cervellera; Marta Cuneo; Mauro Gaggero; G. Soncin (IEEE Trans. Intell. Transp. Syst., 2008)

Sliding-mode state observers for multi-output nonlinear systems with bounded noises on dynamics and measurements. - Angelo Alessandri; Marta Cuneo; Elisabetta Punta (CDC, 2009)

Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison. - Angelo Alessandri; Lucia Cassettari; Roberto Mosca 001 (Comput. Manag. Sci., 2009)

Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. - Angelo Alessandri; Raffaele Bolla; Mauro Gaggero; Matteo Repetto (IEEE Trans. Control. Syst. Technol., 2009)

Advances in moving horizon estimation for nonlinear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Victor M. Zavala (CDC, 2010)

A maximum-likelihood Kalman filter for switching discrete-time linear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (Autom., 2010)

Minimizing Sequences for a Family of Functional Optimal Estimation Problems. - Angelo Alessandri; Giorgio Gnecco; Marcello Sanguineti (J. Optim. Theory Appl., 2010)

Integer tree-based search and mixed-integer optimal control of distribution chains. - Angelo Alessandri; Mauro Gaggero; Flavio Tonelli (CDC/ECC, 2011)

Min-Max and Predictive Control for the Management of Distribution in Supply Chains. - Angelo Alessandri; Mauro Gaggero; Flavio Tonelli (IEEE Trans. Control. Syst. Technol., 2011)

Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Mauro Gaggero (IEEE Trans. Neural Networks, 2011)

Evaluation of Resilience of Interconnected Systems Based on Stability Analysis. - Angelo Alessandri; Roberto Filippini (CRITIS, 2012)

Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli (SIAM J. Control. Optim., 2012)

Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. - Angelo Alessandri; Mauro Gaggero; Riccardo Zoppoli (IEEE Trans. Neural Networks Learn. Syst., 2012)

Design of time-varying state observers for nonlinear systems by using input-to-state stability. - Angelo Alessandri (ACC, 2013)

Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (ACC, 2013)

Output feedback control for discrete-time linear systems by using luenberger observers under unknown switching. - Angelo Alessandri; Fazia Bedouhene; Houria Kheloufi; Ali Zemouche (CDC, 2013)

On increasing-gain observers for nonlinear continuous-time systems. - Angelo Alessandri; Anna Rossi (CDC, 2013)

Convex optimization approach to observer-based stabilization of linear systems with parameter uncertainties. - Houria Kheloufi; Fazia Bedouhene; Ali Zemouche; Angelo Alessandri (CDC, 2013)

Time-varying increasing-gain observers for nonlinear systems. - Angelo Alessandri; Anna Rossi (Autom., 2013)

Predictive Control of Container Flows in Maritime Intermodal Terminals. - Angelo Alessandri; Cristiano Cervellera; Mauro Gaggero (IEEE Trans. Control. Syst. Technol., 2013)

Optimal control of level sets dynamics. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (ACC, 2014)

Moving-horizon estimation for discrete-time linear systems with measurements subject to outliers. - Angelo Alessandri; Moath Awawdeh (CDC, 2014)

Output feedback control for a class of switching discrete-time linear systems. - Angelo Alessandri; Fazia Bedouhene; Houria Kheloufi; Ali Zemouche (CDC, 2014)

Robust predictive control for the management of multi-echelon distribution chains. - Angelo Alessandri; Mauro Gaggero; Flavio Tonelli (CDC, 2014)

A new LMI condition for decentralized observer-based control of linear systems with nonlinear interconnections. - Ali Zemouche; Angelo Alessandri (CDC, 2014)

Adaptive state estimation for nonlinear systems based on the increasing-gain observer. - Angelo Alessandri; Anna Rossi (CDC, 2015)

Results on stubborn Luenberger observers for linear time-invariant plants. - Angelo Alessandri; Luca Zaccarian (ECC, 2015)

Increasing-gain observers for nonlinear systems: Stability and design. - Angelo Alessandri; Anna Rossi (Autom., 2015)

Observer-based stabilisation of linear systems with parameter uncertainties by using enhanced LMI conditions. - Houria Kheloufi; Fazia Bedouhene; Ali Zemouche; Angelo Alessandri (Int. J. Control, 2015)

Further results on the optimal control of fronts generated by level set methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Alberto Traverso (ACC, 2016)

Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (CDC, 2016)

Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. - Angelo Alessandri; Mauro Gaggero (CDC, 2016)

Optimal control of parallel buffers by using output feedback based on Practical Observers. - Angelo Alessandri; Danilo Percivale; Robertus Van der Putten (CDC, 2016)

On the enhancement of high-gain observers for state estimation of nonlinear systems. - Angelo Alessandri; Ali Zemouche (CDC, 2016)

Anti-windup synthesis of heading and speed regulators for ship control with actuator saturation. - Silvia Donnarumma; Luca Zacearian; Angelo Alessandri; Stefano Vignolo (ECC, 2016)

Backstepping-based stabilization of the pool-boiling system: An application of the circle criterion. - Alberto Taddeo; Angelo Alessandri; Patrizia Bagnerini; Silvia Donnarumma (ECC, 2016)

Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers. - Angelo Alessandri; Moath Awawdeh (Autom., 2016)

Parameter identification of the normal flow equation by using adaptive estimation. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (ACC, 2017)

Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. - Angelo Alessandri; Mauro Gaggero (CDC, 2017)

Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. - Angelo Alessandri; Mauro Gaggero (IEEE Trans. Autom. Control., 2017)

Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices. - Maxime Dureau; Angelo Alessandri; Patrizia Bagnerini; Stéphane Vincent (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli; Vincenzo Alessandro Santamaria; Alberto Traverso (ACC, 2018)

Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Anna Rossi (ACC, 2018)

Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Davide Lengani; Daniele Simoni (CDC, 2018)

Model-Based Fault Detection and Estimation for Linear Time Invariant and Piecewise Affine Systems by Using Quadratic Boundedness. - Angelo Alessandri; Francesca Boem; Thomas Parisini (CDC, 2018)

Stubborn state observers for linear time-invariant systems. - Angelo Alessandri; Luca Zaccarian (Autom., 2018)

On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. - Angelo Alessandri; Patrizia Bagnerini; C. Carmeli; Mauro Gaggero; Davide Lengani; Daniele Simoni (CDC, 2019)

Synchronization in Networks of Identical Nonlinear Systems via Dynamic Dead Zones. - Giacomo Casadei; Daniele Astolfi; Angelo Alessandri; Luca Zaccarian (IEEE Control. Syst. Lett., 2019)

Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero (IEEE Trans. Neural Networks Learn. Syst., 2019)

High-Gain Nonlinear Observer Using System State Augmentation. - Dyhia Bouhadjra; Ali Zemouche; Angelo Alessandri; Patrizia Bagnerini (CDC, 2020)

State and observer-based feedback control of normal flow equations. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Anna Rossi (Autom., 2020)

Parameter Estimation of Fire Propagation Models Using Level Set Methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli (CoRR, 2020)

State Observers for Systems Subject to Bounded Disturbances Using Quadratic Boundedness. - Angelo Alessandri; Francesca Boem (IEEE Trans. Autom. Control., 2020)

Modeling and Estimation of Amnioserosa Cell Mechanical Behavior Using Moving Horizon Estimation. - Dyhia Bouhadjra; Angelo Alessandri; Patrizia Bagnerini; Fazia Bedouhene; Ali Zemouche (ACC, 2021)

Control of Normal Flow PDEs with ISS Properties. - Angelo Alessandri; Patrizia Bagnerini; Christophe Prieur 001; Anna Rossi (CDC, 2021)

Stubborn and Dead-Zone Redesign for Nonlinear Observers and Filters. - Daniele Astolfi; Angelo Alessandri; Luca Zaccarian (IEEE Trans. Autom. Control., 2021)

Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Davide Lengani; Daniele Simoni (IEEE Trans. Control. Syst. Technol., 2021)

A High-Gain Observer for Stage-Structured Susceptible-Infectious Epidemic Model with Linear Incidence Rate. - Dyhia Bouhadjra; Angelo Alessandri; Patrizia Bagnerini; Ali Zemouche (ACC, 2022)

High-Gain Estimation of mRNA and Protein Concentrations of a Genetic Regulatory Network. - Dyhia Bouhadjra; Angelo Alessandri; Patrizia Bagnerini; Ali Zemouche (ECC, 2022)

Hysteresis-based switching observers for linear systems using quadratic boundedness. - Angelo Alessandri; Ricardo G. Sanfelice (Autom., 2022)

Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli; Vincenzo Alessandro Santamaria; Alberto Traverso (IEEE Trans. Control. Syst. Technol., 2022)

Robust Moving Horizon Estimation for Lateral Vehicle Dynamics. - Hasni Arezki; Angelo Alessandri; Ali Zemouche (ECC, 2023)

State estimation using a network of distributed observers with switching communication topology. - Guitao Yang; Hamed Rezaee; Angelo Alessandri; Thomas Parisini (Autom., 2023)

LMI Design Procedure for Incremental Input/Output-to-State Stability in Nonlinear Systems. - Hasni Arezki; Ali Zemouche; Angelo Alessandri; Patrizia Bagnerini (IEEE Control. Syst. Lett., 2023)

LMI-Based Stubborn and Dead-Zone Redesign in Linear Dynamic Output Feedback. - Sophie Tarbouriech; Angelo Alessandri; Daniele Astolfi; Luca Zaccarian (IEEE Control. Syst. Lett., 2023)

Moving horizon estimation of Amnioserosa cell dynamics during Drosophila dorsal closure. - Dyhia Bouhadjra; Angelo Alessandri; Patrizia Bagnerini; Ali Zemouche (Eur. J. Control, 2023)

State Observers for Output Feedback Control of an Electromagnetic Levitation System. - Damiano Padovani; Andrea Cioncolini; Angelo Alessandri (AMC, 2024)

Practical Observers for Velocity Field Estimation of Normal Flow Equations. - Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero; Luca Mantelli (ACC, 2024)

Design of Observer-Based Controllers for Lipschitz Nonlinear Systems by Using LMIs. - Angelo Alessandri; Andrea Cioncolini; Damiano Padovani (CDC, 2024)

A Cost-Effective Integrated Methodology for Electromagnetic Actuation via Visual Feedback. - Shuwan Chen; Damiano Padovani; Andrea Cioncolini; Angelo Alessandri (Sensors, 2024)

Robust moving horizon estimation for nonlinear systems: From perfect to imperfect optimization. - Angelo Alessandri (Autom., 2025)

Robust Bayesian inference for moving horizon estimation. - Wenhan Cao; Chang Liu 002; Zhiqian Lan; Shengbo Eben Li; Wei Pan 004; Angelo Alessandri (Autom., 2025)

Switched-Gain Observers for Linear Systems by Using Max/Min Lyapunov Functions. - Angelo Alessandri; Ricardo G. Sanfelice (IEEE Control. Syst. Lett., 2025)