Fuzzy logic estimator for minimizing signal measurement inaccuracy effects in a signal processing system

A method of minimizing signal measurement inaccuracy effects in a signal processing system, comprising:

• measuring a plurality of signal values;
• computing a first number of delta values each representing a difference between one of said plurality of signal values and a corresponding model value;
• assigning a probability distribution to each of said first number of said delta values to form a corresponding first number of probability distribution functions;
• associating at least some of said first number of probability distribution functions with each equation in a system of equations defining a second number of unknown parameter values;
• solving said system of equations for a domain of possible solutions;
• and
• determining a unique solution for said second number of unknown parameter values from said domain of possible solutions.

A system for minimizing signal measurement inaccuracy effects in a signal processing system, comprising:

• a plurality of sensors producing a corresponding plurality of signal values indicative of operating conditions of a physical system;
• and
• a signal processing system receiving said plurality of signal values, said signal processing system including:
• means for assigning a probability distribution to each of a first number of delta values to form a corresponding first number of probability distribution functions, said delta values representing differences between pairs of measured signal values and corresponding model values;
• means for associating at least some of said first number of probability distribution functions with each equation of a system of equations defining a second number of unknown parameter values;
• means for solving said system of equations for a domain of possible solutions;
• and
• means for determining a unique solution for said second number of unknown parameter values from said domain of possible solutions.