ROBUST ITERATIVE LEARNING CONTROL FOR A CLASS OF NONLINEAR-SYSTEMS

Authors
Citation
Jx. Xu et Zh. Qu, ROBUST ITERATIVE LEARNING CONTROL FOR A CLASS OF NONLINEAR-SYSTEMS, Automatica (Oxford), 34(8), 1998, pp. 983-988
Citations number
5
Categorie Soggetti
Robotics & Automatic Control","Robotics & Automatic Control","Engineering, Eletrical & Electronic
Journal title
ISSN journal
00051098
Volume
34
Issue
8
Year of publication
1998
Pages
983 - 988
Database
ISI
SICI code
0005-1098(1998)34:8<983:RILCFA>2.0.ZU;2-7
Abstract
A novel nonlinear control scheme-robust iterative learning control (RI LC) is developed in this paper. The new robust ILC system provides a g eneral framework targeting at synthesizing learning control and robust control methods with the help of Lyapunov's direct method, thereafter being able to handle more general classes of nonlinear uncertain syst ems. In the proposed control scheme, learning control and variable str ucture control are made to function in a complementary manner. The non linear learning control strategy is applied directly to the structured system uncertainties which can be separated and expressed as products of unknown state-independent functions and known state-dependent func tions. For non-structured system uncertainties associated with known b ounding functions as the only a priori knowledge, variable structure c ontrol(VSC) strategy is applied to ensure the global asymptotic stabil ity. In addition, important issues regarding the objective trajectory categories, resetting condition, derivative signal requirement and the ir relationships have been made clear in this paper. (C) 1998 Elsevier Science Ltd. All rights reserved.