Neural networks for the solution of information-distributed optimal control problems. - Marco Baglietto; Thomas Parisini; Riccardo Zoppoli (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)

Approximating networks, dynamic programming and stochastic approximation. - Marco Baglietto; Cristiano Cervellera; Thomas Parisini; Marcello Sanguineti; N. Zoppoli (ACC, 2000)

Decentralized supervisory control of a set of mobile robots. - M. Aicardi; Marco Baglietto (ECC, 2001)

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

Numerical solutions to the Witsenhausen counterexample by approximating networks. - Marco Baglietto; Thomas Parisini; Riccardo Zoppoli (IEEE Trans. Autom. Control., 2001)

Distributed-information neural control: the case of dynamic routing in traffic networks. - Marco Baglietto; Thomas Parisini; Riccardo Zoppoli (IEEE Trans. Neural Networks, 2001)

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

Shortest path problems on stochastic graphs: a neuro dynamic programming approach. - Marco Baglietto; Giorgio Battistelli; Federico Vitali; Riccardo Zoppoli (CDC, 2003)

Entropy-based environment exploration and stochastic optimal control. - Marco Baglietto; M. Paolucci; Luca Scardovi; Riccardo Zoppoli (CDC, 2003)

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

Best-Effort and Guaranteed Performance Services in Telecommunications Networks: Pricing and Call Admission Control Techniques. - Marco Baglietto; Raffaele Bolla; Franco Davoli; Mario Marchese; Maurizio Mongelli (QoS-IP, 2003)

A proposal of new price-based Call Admission Control rules for Guaranteed Performance services multiplexed with Best Effort traffic. - Marco Baglietto; Raffaele Bolla; Franco Davoli; Mario Marchese; Maurizio Mongelli (Comput. Commun., 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)

Active identification of unknown systems: an information theoretic approach. - Marco Baglietto; Luca Scardovi; Riccardo Zoppoli (ACC, 2004)

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

Neural approximation of team optimal dynamic routing in IP networks. - Marco Baglietto; Raffaele Bolla; Roberto Bruschi; Franco Davoli; Riccardo Zoppoli (CDC, 2004)

Satellite dynamic bandwidth allocation by neural open loop-feedback control strategies. - Marco Baglietto; Franco Davoli; Mario Marchese; Maurizio Mongelli (CDC, 2004)

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

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

A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing. - Marco Baglietto; Giorgio Battistelli; Raffaele Bolla; Roberto Bruschi; Franco Davoli; Riccardo Zoppoli (CDC/ECC, 2005)

A Neural Approach to Active Estimation of Nonlinear Systems. - Marco Baglietto; Domenico Garassino; Luca Scardovi; Lorenzo Zanchi; Riccardo Zoppoli (CDC/ECC, 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)

Neural approximation of open-loop feedback rate control in satellite networks. - Marco Baglietto; Franco Davoli; Mario Marchese; Maurizio Mongelli (IEEE Trans. Neural Networks, 2005)

Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. - Alexander G. Parlos; Chuanyi Ji; Thomas Parisini; Marco Baglietto; Amir F. Atiya; Kimberly C. Claffy (IEEE Trans. Neural Networks, 2005)

Active Mode Identification Of Switching Systems. - Marco Baglietto; Giorgio Battistelli; Luca Scardovi (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)

Active mode observation of switching systems based on a-priori knowledge of the continuous state. - Marco Baglietto; Giorgio Battistelli; Luca Scardovi (CDC, 2007)

Active mode observability of switching linear systems. - Marco Baglietto; Giorgio Battistelli; Luca Scardovi (Autom., 2007)

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

Active State Estimation for Nonlinear Systems: A Neural Approximation Approach. - Luca Scardovi; Marco Baglietto; Thomas Parisini (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)

Multi-Robot Uniform Frequency Coverage of Significant Locations in the Environment. - Marco Baglietto; Giorgio Cannata; Francesco Capezio; Antonio Sgorbissa (DARS, 2008)

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

A multi-robot coordination system based on RFID technology. - Marco Baglietto; Giorgio Cannata; Francesco Capezio; Alberto Grosso; Antonio Sgorbissa (ICAR, 2009)

Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method. - Serena Ivaldi; Marco Baglietto; Franco Davoli; Riccardo Zoppoli (IJCNN, 2009)

The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. - Marco Baglietto; Marcello Sanguineti; Riccardo Zoppoli (Optim. Methods Softw., 2009)

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

Approximate optimal control for reaching and trajectory planning in a humanoid robot. - Serena Ivaldi; Matteo Fumagalli 001; Francesco Nori; Marco Baglietto; Giorgio Metta; Giulio Sandini (IROS, 2010)

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

Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. - Marco Baglietto; Cristiano Cervellera; Marcello Sanguineti; Riccardo Zoppoli (Comput. Optim. Appl., 2010)

Set-point tracking in mode-observable switching linear systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (CDC/ECC, 2011)

Human navigation and mapping with a 6DOF IMU and a laser scanner. - Marco Baglietto; Antonio Sgorbissa; Damiano Verda; Renato Zaccaria (Robotics Auton. Syst., 2011)

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

Editorial: One Year as EiC, and Editorial-Board Changes at TNN. - Marco Baglietto; Lubica Benusková; Ivo Bukovsky; Tianping Chen; Tom Heskes; Kazushi Ikeda; Fakhri Karray; Rhee Man Kil; Robert Legenstein; Jinhu Lu; Yunqian Ma; Malik Magdon-Ismail; et al. (IEEE Trans. Neural Networks, 2011)

On stabilization and tracking for switching linear systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (ACC, 2012)

Mode-observability conditions for linear and nonlinear systems. - Marco Baglietto; Giorgio Battistelli; Helon Vicente Hultmann Ayala; Pietro Tesi (CDC, 2012)

Trade-offs between control and mode-observability properties for switching linear systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (CDC, 2012)

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

Projection-based degree of distinguishability in switching linear systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (CDC, 2013)

On discerning controllers for switching linear systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (CDC, 2013)

Hybrid controllers for mode-observability of switching linear systems: Existence and genericity. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (ECC, 2013)

Stabilization and tracking for switching linear systems under unknown switching sequences. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (Syst. Control. Lett., 2013)

Discerning controllers for switching linear systems: Existence and genericity. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (Autom., 2014)

Mode-observability degree in discrete-time switching linear systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (Syst. Control. Lett., 2014)

Distinguishability of Discrete-Time Nonlinear Systems. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (IEEE Trans. Autom. Control., 2014)

Robust integrated lateral guidance and control of UAVs. - Muhammad Zeeshan Babar; Raza Samar; Aamer Iqbal Bhatti; Marco Baglietto (MMAR, 2015)

Packet Loss Detection in Networked Control Systems via Process Measurements. - Marco Baglietto; Giorgio Battistelli; Pietro Tesi (CDC, 2018)

Task-Motion Planning for Navigation in Belief Space. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (ISRR, 2019)

Task-assisted Motion Planning in Partially Observable Domains. - Antony Thomas; Sunny Amatya; Fulvio Mastrogiovanni; Marco Baglietto (CoRR, 2019)

Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (STAIRS@ECAI, 2020)

Trajectory generation and tracking for phugoid maneuvers using a mini-airplane. - Andrea Delbene; Cristino de Souza; Pedro Castillo; Boris Vidolov; Marco Baglietto (MED, 2020)

Probabilistic Collision Constraint for Motion Planning in Dynamic Environments. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (IAS, 2021)

An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (CoRR, 2021)

Optimal feedback input design for dynamic nonlinear systems. - Muhammad Zeeshan Babar; Marco Baglietto (Int. J. Control, 2021)

An Integrated Localization, Motion Planning and Obstacle Avoidance Algorithm in Belief Space. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (Intell. Serv. Robotics, 2021)

MPTP: Motion-planning-aware task planning for navigation in belief space. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (Robotics Auton. Syst., 2021)

Exact and Bounded Collision Probability for Motion Planning Under Gaussian Uncertainty. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (IEEE Robotics Autom. Lett., 2022)

Safe motion planning with environment uncertainty. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (Robotics Auton. Syst., 2022)

Visual Servoed Autonomous Landing of an UAV on a Catamaran in a Marine Environment. - Andrea Delbene; Marco Baglietto; Enrico Simetti (Sensors, 2022)

Revisiting the Minimum Constraint Removal Problem in Mobile Robotics. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (CoRR, 2023)

Cables Tension Modeling for Multi-UAV Payload Transportation. - Andrea Delbene; Marco Baglietto (CASE, 2024)

Recovery Techniques for a Multi-UAV System Transporting a Payload. - Andrea Delbene; Marco Baglietto (CASE, 2024)

An Incremental Sampling and Segmentation-Based Approach for Motion Planning Infeasibility. - Antony Thomas; Fulvio Mastrogiovanni; Marco Baglietto (CoRR, 2025)

A distributed motion planning approach to cooperative underwater acoustic source tracking and pursuit. - Andrea Tiranti; Francesco Wanderlingh; Enrico Simetti; Marco Baglietto; Giovanni Indiveri; Antonio Pascoal (CoRR, 2025)