Title: Modified Newton-based ILC solving specific target tracking problems for non-linear batch reactor

Authors: Bo Pang; Cheng Shao

Addresses: Institute of Advanced Control Technology, Dalian University of Technology, Dalian, Liaoning, 116024, China ' Institute of Advanced Control Technology, Dalian University of Technology, Dalian, Liaoning, 116024, China

Abstract: A class of specific target tracking problems for non-linear batch reactor with the reference trajectory sampled only in some specific times is discussed in the paper, and a modified Newton-method-based iterative learning control (ILC) scheme is suggested to solve the specific sampled target tracking control of discrete non-linear system. It is proved theoretically that the algorithm can ensure the resulting closed loop system to have global and monotonic convergence in the presence of initial errors. A case study of final product tracking problem of a mixed, liquid-phase batch reactor is given to demonstrate the effectiveness and tracking accuracy of the proposed algorithm.

Keywords: iterative learning control; ILC; nonlinear batch reactors; global convergence; target tracking; tracking control.

DOI: 10.1504/IJMIC.2013.052331

International Journal of Modelling, Identification and Control, 2013 Vol.18 No.2, pp.158 - 165

Published online: 31 Jul 2014 *

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