Reduced-order state estimation for linear time-varying systems†

We consider reduced-order and subspace state estimators for linear discrete-time systems with possibly time-varying dynamics. The reducedorder and subspace estimators are obtained using a finite-horizon minimization approach, and thus do not require the solution of algebraic Lyapunov or Riccati equations.