Angelo Alessandri

Orcid: 0000-0001-6878-9106

According to our database1, Angelo Alessandri authored at least 117 papers between 1997 and 2023.

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Bibliography

2023
Moving horizon estimation of Amnioserosa cell dynamics during Drosophila dorsal closure.
Eur. J. Control, July, 2023

LMI-Based Stubborn and Dead-Zone Redesign in Linear Dynamic Output Feedback.
IEEE Control. Syst. Lett., 2023

LMI Design Procedure for Incremental Input/Output-to-State Stability in Nonlinear Systems.
IEEE Control. Syst. Lett., 2023

State estimation using a network of distributed observers with switching communication topology.
Autom., 2023

Robust Moving Horizon Estimation for Lateral Vehicle Dynamics.
Proceedings of the European Control Conference, 2023

2022
Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods.
IEEE Trans. Control. Syst. Technol., 2022

Hysteresis-based switching observers for linear systems using quadratic boundedness.
Autom., 2022

High-Gain Estimation of mRNA and Protein Concentrations of a Genetic Regulatory Network.
Proceedings of the European Control Conference, 2022

A High-Gain Observer for Stage-Structured Susceptible-Infectious Epidemic Model with Linear Incidence Rate.
Proceedings of the American Control Conference, 2022

2021
Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation.
IEEE Trans. Control. Syst. Technol., 2021

Stubborn and Dead-Zone Redesign for Nonlinear Observers and Filters.
IEEE Trans. Autom. Control., 2021

Control of Normal Flow PDEs with ISS Properties.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Modeling and Estimation of Amnioserosa Cell Mechanical Behavior Using Moving Horizon Estimation.
Proceedings of the 2021 American Control Conference, 2021

2020
State Observers for Systems Subject to Bounded Disturbances Using Quadratic Boundedness.
IEEE Trans. Autom. Control., 2020

Parameter Estimation of Fire Propagation Models Using Level Set Methods.
CoRR, 2020

State and observer-based feedback control of normal flow equations.
Autom., 2020

High-Gain Nonlinear Observer Using System State Augmentation.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations.
IEEE Trans. Neural Networks Learn. Syst., 2019

Synchronization in Networks of Identical Nonlinear Systems via Dynamic Dead Zones.
IEEE Control. Syst. Lett., 2019

On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Stubborn state observers for linear time-invariant systems.
Autom., 2018

Model-Based Fault Detection and Estimation for Linear Time Invariant and Piecewise Affine Systems by Using Quadratic Boundedness.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation.
Proceedings of the 2018 Annual American Control Conference, 2018

Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods.
IEEE Trans. Autom. Control., 2017

Moving horizon state estimation for constrained discrete-time systems by using fast descent methods.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Parameter identification of the normal flow equation by using adaptive estimation.
Proceedings of the 2017 American Control Conference, 2017

2016
Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers.
Autom., 2016

Backstepping-based stabilization of the pool-boiling system: An application of the circle criterion.
Proceedings of the 15th European Control Conference, 2016

Anti-windup synthesis of heading and speed regulators for ship control with actuator saturation.
Proceedings of the 15th European Control Conference, 2016

On the enhancement of high-gain observers for state estimation of nonlinear systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal control of parallel buffers by using output feedback based on Practical Observers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Extended Kalman filtering to design optimal controllers of fronts generated by level set methods.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Further results on the optimal control of fronts generated by level set methods.
Proceedings of the 2016 American Control Conference, 2016

2015
Observer-based stabilisation of linear systems with parameter uncertainties by using enhanced LMI conditions.
Int. J. Control, 2015

Increasing-gain observers for nonlinear systems: Stability and design.
Autom., 2015

Results on stubborn Luenberger observers for linear time-invariant plants.
Proceedings of the 14th European Control Conference, 2015

Adaptive state estimation for nonlinear systems based on the increasing-gain observer.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
A new LMI condition for decentralized observer-based control of linear systems with nonlinear interconnections.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Robust predictive control for the management of multi-echelon distribution chains.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Output feedback control for a class of switching discrete-time linear systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Moving-horizon estimation for discrete-time linear systems with measurements subject to outliers.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimal control of level sets dynamics.
Proceedings of the American Control Conference, 2014

2013
Predictive Control of Container Flows in Maritime Intermodal Terminals.
IEEE Trans. Control. Syst. Technol., 2013

Time-varying increasing-gain observers for nonlinear systems.
Autom., 2013

Convex optimization approach to observer-based stabilization of linear systems with parameter uncertainties.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On increasing-gain observers for nonlinear continuous-time systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Output feedback control for discrete-time linear systems by using luenberger observers under unknown switching.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Optimal control of PDE-based systems by using a finite-dimensional approximation scheme.
Proceedings of the American Control Conference, 2013

Design of time-varying state observers for nonlinear systems by using input-to-state stability.
Proceedings of the American Control Conference, 2013

2012
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes.
IEEE Trans. Neural Networks Learn. Syst., 2012

Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems.
SIAM J. Control. Optim., 2012

Evaluation of Resilience of Interconnected Systems Based on Stability Analysis.
Proceedings of the Critical Information Infrastructures Security, 2012

2011
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks.
IEEE Trans. Neural Networks, 2011

Min-Max and Predictive Control for the Management of Distribution in Supply Chains.
IEEE Trans. Control. Syst. Technol., 2011

Integer tree-based search and mixed-integer optimal control of distribution chains.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Minimizing Sequences for a Family of Functional Optimal Estimation Problems.
J. Optim. Theory Appl., 2010

A maximum-likelihood Kalman filter for switching discrete-time linear systems.
Autom., 2010

Advances in moving horizon estimation for nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network.
IEEE Trans. Control. Syst. Technol., 2009

Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison.
Comput. Manag. Sci., 2009

Sliding-mode state observers for multi-output nonlinear systems with bounded noises on dynamics and measurements.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals.
IEEE Trans. Intell. Transp. Syst., 2008

Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes.
Autom., 2008

Nonlinear predictive control for the management of container flows in maritime intermodal terminals.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Moving-horizon state estimation for nonlinear systems using neural networks.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Maximum-likelihood Kalman filtering for switching discrete-time linear systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming.
IEEE Trans. Neural Networks, 2007

Modelling and Optimal Receding-horizon Control of Maritime Container Terminals.
J. Math. Model. Algorithms, 2007

Luenberger observers for switching discrete-time linear systems.
Int. J. Control, 2007

A recursive algorithm for nonlinear least-squares problems.
Comput. Optim. Appl., 2007

Identification of freeway traffic dynamics using fluid and black-box nonlinear models.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Sliding-Mode State Observers for a Class of Nonlinear Continuous-Time Systems.
Proceedings of the American Control Conference, 2007

Design of Observers with Commutation-Dependent Gains for Linear Switching Systems.
Proceedings of the American Control Conference, 2007

2006
Design of state estimators for uncertain linear systems using quadratic boundedness.
Autom., 2006

Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Identification of freeway macroscopic models using information from mobile phones.
Proceedings of the American Control Conference, 2006

2005
Receding-horizon estimation for switching discrete-time linear systems.
IEEE Trans. Autom. Control., 2005

Robust receding-horizon state estimation for uncertain discrete-time linear systems.
Syst. Control. Lett., 2005

Optimization of approximating networks for optimal fault diagnosis.
Optim. Methods Softw., 2005

Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

An approximate solution to optimal L<sub>p</sub> state estimation problems.
Proceedings of the American Control Conference, 2005

2004
On estimation error bounds for receding-horizon filters using quadratic boundedness.
IEEE Trans. Autom. Control., 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.
Autom., 2004

New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Observer design for nonlinear systems by using Input-to-State Stability.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Design of observers for continuous-time nonlinear systems using neural networks.
Proceedings of the 2004 American Control Conference, 2004

A minimax receding-horizon estimator for uncertain discrete-time linear systems.
Proceedings of the 2004 American Control Conference, 2004

2003
Receding-horizon estimation for discrete-time linear systems.
IEEE Trans. Autom. Control., 2003

Fault diagnosis for nonlinear systems using a bank of neural estimators.
Comput. Ind., 2003

EKF learning for feedforward neural networks.
Proceedings of the 7th European Control Conference, 2003

Robust receding-horizon estimation for uncertain discrete-time linear systems.
Proceedings of the 7th European Control Conference, 2003

Application of neural control to economic growth problems.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

On the convergence of EKF-based parameters optimization for neural networks.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Receding-horizon estimation for noisy nonlinear discrete-time systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Design of observers for switched discrete-time linear systems.
Proceedings of the American Control Conference, 2003

Estimation of freeway traffic variables using information from mobile phones.
Proceedings of the American Control Conference, 2003

2002
Optimization-based learning with bounded error for feedforward neural networks.
IEEE Trans. Neural Networks, 2002

Optimized feedforward neural networks for on-line identification of nonlinear models.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Optimal neural feedback control applied to a problem of economic growth in freight transport market.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Batch-mode identification of black-box models using feedforward neural networks.
Proceedings of the American Control Conference, 2002

2001
Design of Luenberger Observers for a Class of Hybrid Linear Systems.
Proceedings of the Hybrid Systems: Computation and Control, 4th International Workshop, 2001

PF-stable estimators for nonlinear systems.
Proceedings of the 6th European Control Conference, 2001

An LMI approach to multi-model estimation for discrete-time linear systems.
Proceedings of the 6th European Control Conference, 2001

A receding-horizon estimator for discrete-time linear systems.
Proceedings of the 6th European Control Conference, 2001

On the design of approximate state estimators for nonlinear systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

L<sub>p</sub>-stable and asymptotic estimators for nonlinear dynamic systems.
Proceedings of the American Control Conference, 2001

Switching observers for continuous-time and discrete-time linear systems.
Proceedings of the American Control Conference, 2001

2000
On estimators for nonlinear systems in L<sub>p</sub> spaces.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Design of sliding-mode observers and filters for nonlinear dynamic systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Navigation for underwater vehicles based on asynchronous nonlinear estimation.
Proceedings of the American Control Conference, 2000

1999
A neural state estimator with bounded errors for nonlinear systems.
IEEE Trans. Autom. Control., 1999

1998
Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Nonlinear modeling of complex large-scale plants using neural networks and stochastic approximation.
IEEE Trans. Syst. Man Cybern. Part A, 1997


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