Andrea Cristofaro
Dr. Andrea Cristofaro received the M.Sc. in Mathematics from University of Rome La Sapienza (Italy) in 2005 and the PhD in Information Science and Complex Systems from University of Camerino (Italy) in 2010.
Between 2010 and 2016 he was first a post-doctoral fellow with eMotion research team, INRIA Rhone-Alpes, Grenoble (France) and then a Marie-Curie post-doctoral fellow with the Department of Engineering Cybernetics, Norwegian University of Science, Trondheim (Norway). From March 2016 to August 2018 he was Assistant Professor in System and Control Theory at the Department of Mathematics, University of Camerino (Italy). In September 2018 he was appointed Associate Professor at the Department of Technology Systems, University of Oslo, Norway. Since October 2019 he is with the Department of Computer, Control and Management Engineering, Sapienza University of Rome, where he is currently an Associate Professor.
Robotic Systems
- Fault-tolerant control of mobile robots
- Control allocation for input redundant systems
- Control of flexible robotic systems
- Multi-agent systems
Distributed parameter systems
- Stability and stabilization of PDEs
- Observer design for PDEs and coupled systems of PDEs-ODEs
- Optimal control of PDEs
- Synchronization problems for PDEs
Hybrid systems
- Observer design for hybrid systems with state-driven jumps
- Optimal control for hybrid systems with state-driven jumps
- Hybrid controllers for linear systems with input constraints
Membro di
Ultime pubblicazioni
| Practical output regulation of robotic manipulators: A comparison study in EUROPEAN JOURNAL OF CONTROL | 2025 |
| Adaptive Pseudo-Inverse Observers for Output Redundant Discrete-Time Linear Systems in IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2024 |
| Decentralized Task Allocation for Redundant Multi-Robot Systems: An Iterative Consensus Approach in Decentralized Task Allocation for Redundant Multi-Robot Systems: An Iterative Consensus Approach | 2024 |
| Hybrid consensus control for nonholonomic multi-robot systems in Hybrid consensus control for nonholonomic multi-robot systems | 2024 |
| Multi-consensus Problems in Hybrid Multi-agent Systems in Lecture Notes in Control and Information Sciences | 2024 |
| Optimal Control Allocation for 2D Reaction‐Diffusion Equations With Multiple Locally Distributed Inputs in OPTIMAL CONTROL APPLICATIONS & METHODS | 2024 |
| Parameter Identification for an Uncertain Reaction-Diffusion Equation via Setpoint Regulation in IEEE CONTROL SYSTEMS LETTERS | 2024 |