In the context of continuous systems, research on uncertainty focuses on the use and improvement of interval-analytic set filtering techniques (guaranteed frames on states and parameters) to solve estimation problems in dynamic systems, while ensuring computational efficiency suitable for real-time applications.

• Development of set-membership filtering techniques using interval analysis (guaranteed frames on states and parameters), interval Kalman filter (IKF) with optimization of upper bounds on error covariance matrices [hal-04070189], generic interval filter for nonlinear continuous-time systems [hal-04845940], optimally bounded interval Kalman filter (OUBIKF) [hal-03300095].
• Fault diagnosis in uncertain systems [hal-03689596], particularly for automotive systems [hal-03363452] and aeronautics[hal-03685779]
• Multi-agent localization in the presence of uncertain observational data [hal-04846108]. Exploitation of zonotopes, ellipsoids...
• Diagnosability analysis in uncertain systems  [hal-04703936]