DocumentCode
523890
Title
A New Iterative Learning Control Scheme with Global Convergence for MIMO Nonlinear Dynamic Systems
Author
Kang, Jingli
Author_Institution
Dept. of Math., Tianjin Univ. of Finance & Econ., Tianjin, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
238
Lastpage
241
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICICTA.2010.576
Filename
5523335
Link To Document