Patent Document ID: 7659685
Application ID: 11833053
Patent Flag: 1

Claim One:
1. A method for estimating state variables of a system having a known input-state-output mathematical model, the method comprising: installing an estimator circuit for estimating state variables of the system, the estimator circuit comprising a filter for implementing an estimation according to a Stirling approximation formula as a function of input and output data of the system and of filter parameters representing covariance matrices of process noise and of measurement noise of the system; and training the estimator circuit by performing the following off-line supplying the system with input patterns, and detecting corresponding output data and at least one state variable of the system, estimating the at least one state variable of the system for the input patterns, adjusting the filter parameters with an evolutionary algorithm for reducing a cost function defined as a function of estimated output data, of sensed output data, of the at least one estimated state variable and of a corresponding at least one sensed state variable, and estimating the state of the system during normal functioning using the off-line trained estimator circuit.