Main research topics:
Estimation and control of dynamic systems: model predictive control, moving horizon estimation, control and estimation for constrained systems, set-theoretic methods, stability analysis.
Multi-agent systems: distributed control, consensus, formation control, event-triggered communications, distributed model predictive control.
Distributed state estimation and sensor networks.
Mixing machine learning and control theory, deep reinforcement learning control with safety certificates.
Applications to autonomous robotic and aerospace systems: Unmanned Aerial Vehicles (UAVs), multi-vehicles coordination and cooperation, low cost sensor networks, field experiments, mission analysis of satellites and space systems, space debris trajectory estimation.
Risk analysis: probabilistic risk assessment, ground risk assessment for UAVs, links to regulations - SORA, risk and vulnerability analysis of satellites wrt space debris.
Control education.