Learning control based on local linearization by using DFT

Discusses a new type of learning control scheme for a class of discrete-time nonlinear system. The algorithm of the proposed learning control utilizes a local linearization technique by using a discrete Fourier transform (DFT) to design a learning operator and the numerical function iterative techniques. The secant method is used, which can find the best learning operator by itself at each learning step, in other words, at each calculation step of iteration. This proposed learning algorithm has been extensively tested by simulation on the computer.<<ETX>>