Model Identification and Control for Nonlinear Discrete-time System with Time Delay: A Support Vector Machine Approach

Abstract

In this paper, a design procedure of support vector machine (SVM) based model identification and control strategy for stable nonlinear discrete-time process with input-output form is proposed. In order to implement the control structure, the both inverse and straight model representation and identification methods are addressed in detail. The control of a simulated continuous-stirred tank reactor (CSTR) process illustrates the proposed design procedure and the properties of the SVM based model identification, direct inverse model control and internal model control for nonlinear systems.