Hybrid robust affine projection system identification method suitable for aircraft modeling

• Main Authors: TONG LINLING, YANG TIANCHENG, FANG QIANG, CHEN JUNJIE, XU PENG, MU YIFAN, WANG ZIYI, ZHOU XINGLI, LI GUOLIANG, ZHOU YUZHENG, ZHANG HONGBIN
• Format: Patent
• Language: Chinese; English
• Published: 21.07.2023
• Subjects: CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

The invention discloses a hybrid robust affine projection system identification method suitable for aircraft modeling, and the method comprises the following steps: S1, constructing a system identifier model, enabling an input signal to pass through a system to obtain an output signal as a predicted value, making a difference between the output signal and an expected output signal to obtain a prediction error, and carrying out the statistics of error vectors at a plurality of moments before a current moment; s2, updating parameters of a system identifier model by using a hybrid robust affine projection method according to the error vector obtained by statistics; and S3, repeating the steps S1-S2 to carry out iterative calculation until a convergence condition is met, and taking the obtained parameters as final model parameters as an identification result. According to the method, the loss function derivation result of the robust mixed norm algorithm is used for replacing the weight updating direction of the a