Adaptive Control of Nonlinear Discrete-Time System by Least Square Support Vector Machine

In this paper we introduce the use of recurrent least square support vector machine algorithm for the adaptive control of a class of nonlinear discrete-time systems. The curse of dimensionality is avoided by using the finite time window. Advantage of the newly designed algorithm is that the computation of inverse matrix is avoided. Simulation results also verify the effectiveness of the algorithm.