Estimate accuracy versus measurement cost saving in continuous time linear filtering problems

► For continuous time linear system filtering problems a measurement policy is proposed. ► Measuring the output could imply too high a cost (not necessarily economical). ► The policy reduces the cost of measurement preserving the estimate accuracy. ► The measurement procedure modifies the classical Kalman filter algorithm. ► The procedure is tested against stable and unstable linear systems.