Angelo Alessandri

131 papers B 1C 24Journal 51Unranked 55

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Design of Robust Moving Horizon Estimators for Linear Systems Using Incremental Input/Output-To-State Stability. CDC Angelo Alessandri
2025	C	`conf`	Gradient-Based Line-Search Optimization for Moving Horizon Estimation. ACC Dyhia Bouhadjra, Mauro Gaggero, Angelo Alessandri
2025	—	`conf`	On the Use of Newton-Based Methods in Fast Moving Horizon Estimation. ECC Dyhia Bouhadjra, Mauro Gaggero, Angelo Alessandri
2025	J	`jnl`	Robust Bayesian inference for moving horizon estimation. Autom. Wenhan Cao, Chang Liu, Zhiqian Lan, Shengbo Eben Li, Wei Pan, Angelo Alessandri
2025	J	`jnl`	Robust Moving-horizon Estimation for Nonlinear Systems: From Perfect to Imperfect Optimization. CoRR Angelo Alessandri
2025	J	`jnl`	Robust moving horizon estimation for nonlinear systems: From perfect to imperfect optimization. Autom. Angelo Alessandri
2025	—	`conf`	Set-theoretic Control and Moving Horizon Estimation for Compensation of False Data Injections in Linear Cyber Physical Systems. CDC Giuseppe Franzè, Angelo Alessandri
2025	J	`jnl`	Switched-Gain Observers for Linear Systems by Using Max/Min Lyapunov Functions. IEEE Control. Syst. Lett. Angelo Alessandri, Ricardo G. Sanfelice
2024	J	`jnl`	A Cost-Effective Integrated Methodology for Electromagnetic Actuation via Visual Feedback. Sensors Shuwan Chen, Damiano Padovani, Andrea Cioncolini, Angelo Alessandri
2024	—	`conf`	Design of Observer-Based Controllers for Lipschitz Nonlinear Systems by Using LMIs. CDC Angelo Alessandri, Andrea Cioncolini, Damiano Padovani
2024	C	`conf`	Practical Observers for Velocity Field Estimation of Normal Flow Equations. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli
2024	—	`conf`	State Observers for Output Feedback Control of an Electromagnetic Levitation System. AMC Damiano Padovani, Andrea Cioncolini, Angelo Alessandri
2023	J	`jnl`	LMI Design Procedure for Incremental Input/Output-to-State Stability in Nonlinear Systems. IEEE Control. Syst. Lett. Hasni Arezki, Ali Zemouche, Angelo Alessandri, Patrizia Bagnerini
2023	J	`jnl`	LMI-Based Stubborn and Dead-Zone Redesign in Linear Dynamic Output Feedback. IEEE Control. Syst. Lett. Sophie Tarbouriech, Angelo Alessandri, Daniele Astolfi, Luca Zaccarian
2023	J	`jnl`	Moving horizon estimation of Amnioserosa cell dynamics during Drosophila dorsal closure. Eur. J. Control Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche
2023	—	`conf`	Robust Moving Horizon Estimation for Lateral Vehicle Dynamics. ECC Hasni Arezki, Angelo Alessandri, Ali Zemouche
2023	J	`jnl`	State estimation using a network of distributed observers with switching communication topology. Autom. Guitao Yang, Hamed Rezaee, Angelo Alessandri, Thomas Parisini
2022	C	`conf`	A High-Gain Observer for Stage-Structured Susceptible-Infectious Epidemic Model with Linear Incidence Rate. ACC Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche
2022	J	`jnl`	Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso
2022	—	`conf`	High-Gain Estimation of mRNA and Protein Concentrations of a Genetic Regulatory Network. ECC Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Ali Zemouche
2022	J	`jnl`	Hysteresis-based switching observers for linear systems using quadratic boundedness. Autom. Angelo Alessandri, Ricardo G. Sanfelice
2021	—	`conf`	Control of Normal Flow PDEs with ISS Properties. CDC Angelo Alessandri, Patrizia Bagnerini, Christophe Prieur, Anna Rossi
2021	J	`jnl`	Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni
2021	C	`conf`	Modeling and Estimation of Amnioserosa Cell Mechanical Behavior Using Moving Horizon Estimation. ACC Dyhia Bouhadjra, Angelo Alessandri, Patrizia Bagnerini, Fazia Bedouhene, Ali Zemouche
2021	J	`jnl`	Stubborn and Dead-Zone Redesign for Nonlinear Observers and Filters. IEEE Trans. Autom. Control. Daniele Astolfi, Angelo Alessandri, Luca Zaccarian
2020	—	`conf`	High-Gain Nonlinear Observer Using System State Augmentation. CDC Dyhia Bouhadjra, Ali Zemouche, Angelo Alessandri, Patrizia Bagnerini
2020	J	`jnl`	Parameter Estimation of Fire Propagation Models Using Level Set Methods. CoRR Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli
2020	J	`jnl`	State Observers for Systems Subject to Bounded Disturbances Using Quadratic Boundedness. IEEE Trans. Autom. Control. Angelo Alessandri, Francesca Boem
2020	J	`jnl`	State and observer-based feedback control of normal flow equations. Autom. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi
2019	—	`conf`	On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. CDC Angelo Alessandri, Patrizia Bagnerini, C. Carmeli, Mauro Gaggero, Davide Lengani, Daniele Simoni
2019	J	`jnl`	Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. IEEE Trans. Neural Networks Learn. Syst. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2019	J	`jnl`	Synchronization in Networks of Identical Nonlinear Systems via Dynamic Dead Zones. IEEE Control. Syst. Lett. Giacomo Casadei, Daniele Astolfi, Angelo Alessandri, Luca Zaccarian
2018	C	`conf`	Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso
2018	C	`conf`	Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi
2018	—	`conf`	Model-Based Fault Detection and Estimation for Linear Time Invariant and Piecewise Affine Systems by Using Quadratic Boundedness. CDC Angelo Alessandri, Francesca Boem, Thomas Parisini
2018	—	`conf`	Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CDC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni
2018	J	`jnl`	Stubborn state observers for linear time-invariant systems. Autom. Angelo Alessandri, Luca Zaccarian
2017	J	`jnl`	Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. IEEE Trans. Autom. Control. Angelo Alessandri, Mauro Gaggero
2017	J	`jnl`	Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices. IEEE ACM Trans. Comput. Biol. Bioinform. Maxime Dureau, Angelo Alessandri, Patrizia Bagnerini, Stéphane Vincent
2017	—	`conf`	Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. CDC Angelo Alessandri, Mauro Gaggero
2017	C	`conf`	Parameter identification of the normal flow equation by using adaptive estimation. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2016	—	`conf`	Anti-windup synthesis of heading and speed regulators for ship control with actuator saturation. ECC Silvia Donnarumma, Luca Zacearian, Angelo Alessandri, Stefano Vignolo
2016	—	`conf`	Backstepping-based stabilization of the pool-boiling system: An application of the circle criterion. ECC Alberto Taddeo, Angelo Alessandri, Patrizia Bagnerini, Silvia Donnarumma
2016	—	`conf`	Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. CDC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2016	C	`conf`	Further results on the optimal control of fronts generated by level set methods. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Alberto Traverso
2016	—	`conf`	Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. CDC Angelo Alessandri, Mauro Gaggero
2016	J	`jnl`	Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers. Autom. Angelo Alessandri, Moath Awawdeh
2016	—	`conf`	On the enhancement of high-gain observers for state estimation of nonlinear systems. CDC Angelo Alessandri, Ali Zemouche
2016	—	`conf`	Optimal control of parallel buffers by using output feedback based on Practical Observers. CDC Angelo Alessandri, Danilo Percivale, Robertus Van der Putten
2015	—	`conf`	Adaptive state estimation for nonlinear systems based on the increasing-gain observer. CDC Angelo Alessandri, Anna Rossi
2015	J	`jnl`	Increasing-gain observers for nonlinear systems: Stability and design. Autom. Angelo Alessandri, Anna Rossi
2015	J	`jnl`	Observer-based stabilisation of linear systems with parameter uncertainties by using enhanced LMI conditions. Int. J. Control Houria Kheloufi, Fazia Bedouhene, Ali Zemouche, Angelo Alessandri
2015	—	`conf`	Results on stubborn Luenberger observers for linear time-invariant plants. ECC Angelo Alessandri, Luca Zaccarian
2014	—	`conf`	A new LMI condition for decentralized observer-based control of linear systems with nonlinear interconnections. CDC Ali Zemouche, Angelo Alessandri
2014	—	`conf`	Moving-horizon estimation for discrete-time linear systems with measurements subject to outliers. CDC Angelo Alessandri, Moath Awawdeh
2014	C	`conf`	Optimal control of level sets dynamics. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2014	—	`conf`	Output feedback control for a class of switching discrete-time linear systems. CDC Angelo Alessandri, Fazia Bedouhene, Houria Kheloufi, Ali Zemouche
2014	—	`conf`	Robust predictive control for the management of multi-echelon distribution chains. CDC Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
2013	—	`conf`	Convex optimization approach to observer-based stabilization of linear systems with parameter uncertainties. CDC Houria Kheloufi, Fazia Bedouhene, Ali Zemouche, Angelo Alessandri
2013	C	`conf`	Design of time-varying state observers for nonlinear systems by using input-to-state stability. ACC Angelo Alessandri
2013	—	`conf`	On increasing-gain observers for nonlinear continuous-time systems. CDC Angelo Alessandri, Anna Rossi
2013	C	`conf`	Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2013	—	`conf`	Output feedback control for discrete-time linear systems by using luenberger observers under unknown switching. CDC Angelo Alessandri, Fazia Bedouhene, Houria Kheloufi, Ali Zemouche
2013	J	`jnl`	Predictive Control of Container Flows in Maritime Intermodal Terminals. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Cristiano Cervellera, Mauro Gaggero
2013	J	`jnl`	Time-varying increasing-gain observers for nonlinear systems. Autom. Angelo Alessandri, Anna Rossi
2012	C	`conf`	Evaluation of Resilience of Interconnected Systems Based on Stability Analysis. CRITIS Angelo Alessandri, Roberto Filippini
2012	J	`jnl`	Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. IEEE Trans. Neural Networks Learn. Syst. Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli
2012	J	`jnl`	Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems. SIAM J. Control. Optim. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2011	—	`conf`	Integer tree-based search and mixed-integer optimal control of distribution chains. CDC/ECC Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
2011	J	`jnl`	Min-Max and Predictive Control for the Management of Distribution in Supply Chains. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
2011	J	`jnl`	Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. IEEE Trans. Neural Networks Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero
2010	J	`jnl`	A maximum-likelihood Kalman filter for switching discrete-time linear systems. Autom. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2010	—	`conf`	Advances in moving horizon estimation for nonlinear systems. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Victor M. Zavala
2010	J	`jnl`	Minimizing Sequences for a Family of Functional Optimal Estimation Problems. J. Optim. Theory Appl. Angelo Alessandri, Giorgio Gnecco, Marcello Sanguineti
2009	J	`jnl`	Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto
2009	J	`jnl`	Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison. Comput. Manag. Sci. Angelo Alessandri, Lucia Cassettari, Roberto Mosca
2009	—	`conf`	Sliding-mode state observers for multi-output nonlinear systems with bounded noises on dynamics and measurements. CDC Angelo Alessandri, Marta Cuneo, Elisabetta Punta
2008	—	`conf`	Maximum-likelihood Kalman filtering for switching discrete-time linear systems. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2008	J	`jnl`	Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. IEEE Trans. Intell. Transp. Syst. Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero, G. Soncin
2008	J	`jnl`	Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes. Autom. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2008	—	`conf`	Moving-horizon state estimation for nonlinear systems using neural networks. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Riccardo Zoppoli
2008	—	`conf`	Nonlinear predictive control for the management of container flows in maritime intermodal terminals. CDC Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero
2007	J	`jnl`	A recursive algorithm for nonlinear least-squares problems. Comput. Optim. Appl. Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
2007	J	`jnl`	Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. IEEE Trans. Neural Networks Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti
2007	C	`conf`	Design of Observers with Commutation-Dependent Gains for Linear Switching Systems. ACC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2007	—	`conf`	Identification of freeway traffic dynamics using fluid and black-box nonlinear models. CDC Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto
2007	J	`jnl`	Luenberger observers for switching discrete-time linear systems. Int. J. Control Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2007	J	`jnl`	Modelling and Optimal Receding-horizon Control of Maritime Container Terminals. J. Math. Model. Algorithms Angelo Alessandri, Simona Sacone, Silvia Siri
2007	C	`conf`	Sliding-Mode State Observers for a Class of Nonlinear Continuous-Time Systems. ACC Angelo Alessandri, Aldo Filippo Grassia, Elisabetta Punta
2006	—	`conf`	Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems. CDC Angelo Alessandri, Cristiano Cervellera, Danilo Macciò, Marcello Sanguineti
2006	J	`jnl`	Design of state estimators for uncertain linear systems using quadratic boundedness. Autom. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2006	C	`conf`	Identification of freeway macroscopic models using information from mobile phones. ACC Angelo Alessandri, Raffaele Bolla, Aldo Filippo Grassia, Matteo Repetto
2005	C	`conf`	An approximate solution to optimal L ACC Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
2005	—	`conf`	Luenberger Observers For Switching Discrete-Time Linear Systems. CDC/ECC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2005	J	`jnl`	Optimization of approximating networks for optimal fault diagnosis. Optim. Methods Softw. Angelo Alessandri, Marcello Sanguineti
2005	J	`jnl`	Receding-horizon estimation for switching discrete-time linear systems. IEEE Trans. Autom. Control. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2005	—	`conf`	Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties. CDC/ECC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2005	J	`jnl`	Robust receding-horizon state estimation for uncertain discrete-time linear systems. Syst. Control. Lett. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2004	C	`conf`	A minimax receding-horizon estimator for uncertain discrete-time linear systems. ACC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2004	J	`jnl`	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. Angelo Alessandri
2004	C	`conf`	Design of observers for continuous-time nonlinear systems using neural networks. ACC Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia, Marcello Sanguineti
2004	—	`conf`	New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini
2004	—	`conf`	Observer design for nonlinear systems by using Input-to-State Stability. CDC Angelo Alessandri
2004	J	`jnl`	On estimation error bounds for receding-horizon filters using quadratic boundedness. IEEE Trans. Autom. Control. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2004	—	`conf`	Receding-horizon estimation for switching discrete-time linear systems. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2003	—	`conf`	Application of neural control to economic growth problems. CIFEr Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia
2003	C	`conf`	Design of observers for switched discrete-time linear systems. ACC Angelo Alessandri, Paolo Coletta
2003	—	`conf`	EKF learning for feedforward neural networks. ECC Angelo Alessandri, G. Cirimele, Marta Cuneo, S. Pagnan, Marcello Sanguineti
2003	C	`conf`	Estimation of freeway traffic variables using information from mobile phones. ACC Angelo Alessandri, Raffaele Bolla, Matteo Repetto
2003	J	`jnl`	Fault diagnosis for nonlinear systems using a bank of neural estimators. Comput. Ind. Angelo Alessandri
2003	—	`conf`	On the convergence of EKF-based parameters optimization for neural networks. CDC Angelo Alessandri, Marta Cuneo, S. Pagnan, Marcello Sanguineti
2003	J	`jnl`	Receding-horizon estimation for discrete-time linear systems. IEEE Trans. Autom. Control. Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2003	—	`conf`	Receding-horizon estimation for noisy nonlinear discrete-time systems. CDC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini
2003	—	`conf`	Robust receding-horizon estimation for uncertain discrete-time linear systems. ECC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
2002	C	`conf`	Batch-mode identification of black-box models using feedforward neural networks. ACC Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
2002	—	`conf`	Optimal neural feedback control applied to a problem of economic growth in freight transport market. CDC Angelo Alessandri, Cristiano Cervellera, Filippo Aldo Grassia
2002	J	`jnl`	Optimization-based learning with bounded error for feedforward neural networks. IEEE Trans. Neural Networks Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
2002	—	`conf`	Optimized feedforward neural networks for on-line identification of nonlinear models. CDC Angelo Alessandri, Marcello Sanguineti, Manfredi Maggiore
2001	—	`conf`	A receding-horizon estimator for discrete-time linear systems. ECC Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini, Riccardo Zoppoli
2001	—	`conf`	An LMI approach to multi-model estimation for discrete-time linear systems. ECC Angelo Alessandri, Paolo Coletta
2001	—	`conf`	Design of Luenberger Observers for a Class of Hybrid Linear Systems. HSCC Angelo Alessandri, Paolo Coletta
2001	C	`conf`	L ACC Angelo Alessandri, Marcello Sanguineti
2001	—	`conf`	On the design of approximate state estimators for nonlinear systems. CDC Angelo Alessandri, Marcello Sanguineti
2001	—	`conf`	PF-stable estimators for nonlinear systems. ECC Angelo Alessandri, Marcello Sanguineti
2001	C	`conf`	Switching observers for continuous-time and discrete-time linear systems. ACC Angelo Alessandri, Paolo Coletta
2000	—	`conf`	Design of sliding-mode observers and filters for nonlinear dynamic systems. CDC Angelo Alessandri
2000	C	`conf`	Navigation for underwater vehicles based on asynchronous nonlinear estimation. ACC Angelo Alessandri, Paolo Coletta
2000	—	`conf`	On estimators for nonlinear systems in L CDC Angelo Alessandri, Marcello Sanguineti
1999	J	`jnl`	A neural state estimator with bounded errors for nonlinear systems. IEEE Trans. Autom. Control. Angelo Alessandri, Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
1998	B	`conf`	Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. ESANN Angelo Alessandri, Manfredi Maggiore, Marcello Sanguineti
1997	J	`jnl`	Nonlinear modeling of complex large-scale plants using neural networks and stochastic approximation. IEEE Trans. Syst. Man Cybern. Part A Angelo Alessandri, Thomas Parisini