Title :
A New Iterative Learning Control Scheme with Global Convergence for MIMO Nonlinear Dynamic Systems
Author_Institution :
Dept. of Math., Tianjin Univ. of Finance & Econ., Tianjin, China
Abstract :
A new iterative learning control scheme for MIMO nonlinear systems is investigated. This algorithm makes use of exchange column updated and difference approximation methods so that the inverse of approximation of derivatives of the output function is obtained by simple recurrent formula. The calculation of iterative learning control scheme can be largely reduced. Moreover, the new iterative learning control scheme has global convergence by introduced a relax parameter. Sufficient conditions for the convergence of this algorithm are given and proved.
Keywords :
Automation; Control systems; Convergence; MIMO; Nonlinear control systems; Exchange column updted method; MIMO nonlinear systems; global convergence; iterative learning control;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha, China
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.576
