Research on Control Method of Complex Object Based on Human Behavior Data

In order to simulate human behavior to achieve intelligent control, in this paper a mathematical modeling method is presented based on Kernel Principal Component Analysis (KPCA) and Support Sector Machine. Sample data from the input space are mapped to high-dimensional feature space by non-linear transformation, then their features are extracted by PCA to decrease dimension of input vector and then the modeling based on support vector regression(SVR) are completed. Through the simulation of skilled people to drive a bike, mathematical model of complex system has reconstructed and intelligent control of complex objects is realized. By simulation and testing on experimental systems, the results are proved that the system model has high precision and good control effect.