Zonotopic Kalman Filter-Based Interval Estimation for Discrete-Time Linear Systems With Unknown Inputs

This letter proposes an unknown input zonotopic Kalman filter-based interval observer for discrete-time linear time-invariant systems. In such contexts, a change of coordinates decoupling the state and inputs is often used. Here, dynamics are rewritten into descriptor system by augmenting vector with inputs. A outer approximation feasible set then obtained prediction-correction strategy using information from dynamics, known outputs. Bounds both this set. The efficiency proposed assessed numerical simulations.