Design of nonlinear PID control systems using boosting algorithm

Abstract

AbstractThere are many nonlinear systems among process control systems. However, it is difficult to handle nonlinear properties with a linear controller. Thus, various methods have been studied in this field. On the other hand, a scheme called boosting has been proposed in the machine learning field. This scheme can obtain highly accurate conditions by combining less‐accurate conditions. Boosting can obtain better results than a neural network with fewer learning data. In this paper, we propose a method for the design of nonlinear PID control systems using the boosting algorithm. The original boosting is capable of dealing only with two‐valued variables, and thus we extend the algorithm for function approximation using it. Finally, simulation examples are presented in order to demonstrate the effectiveness of the proposed scheme. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(9): 52–58, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.10310