| A real-time or pseudo real-time (RTMME) estimation technique is presented in current research, based on the Minimum Model Error estimation algorithm. Given a set of measurements and with the nominal sensor variance information, the RTMME then can be performed by “windowing”, “swapping”, and “push-back” to find an optimal weighting for further use. The time needed for estimating the states are small enough that the RTMME could be used as a “real-time” estimator.; Next, system identification based on the RTMME is shown. This system identification may also be employed in pseudo real-time. A correlation technique is employed to select the best candidate function; followed by the linear and nonlinear least squares methods for the estimation of the model parameters/coefficients.; Finally, an important application for RTMME is demonstrated. The RTMME is shown to serve as a sensor failure and/or system malfunction detection tool. These uses are demonstrated by examples. |
