Fuzzy automatic optimisation system

The automatic optimisation algorithm is synthesized and presented for the nonlinear object with the extremal unknown static function and inertial part described by the linear differential equation with time-varying uncertain parameters, with a random noise in the measurement system. The proposed algorithm based on the fuzzy least square method (LSM) provides the real-time identification of the unknown inertial parameters, and also a rapid search of the operation point of the static function extremum. The statistical testing method shows the decreasing number of the extremum searching malfunctions by using the fuzzy LSM to predict an operation point of the static performance curve, in comparison with obvious LSM.