DocumentCode :
3571070
Title :
New Iterative Learning Control Algorithm Based on Homotopy Extension Method for Nonlinear Systems
Author :
Kang, Jingli
Author_Institution :
Dept. of Math., Tianjin Univ. of Finance & Econ., Tianjin, China
Volume :
1
fYear :
2009
Firstpage :
818
Lastpage :
821
Abstract :
A new iterative learning control algorithm based on homotopy extension for nonlinear systems is presented. Homotopy extension methods are introduced in iterative learning control problem. The iterative process based on homotopy extension methods and Newton methods is derived. A new algorithm is proposed to wide the range of convergence. Sufficient conditions for the convergence of new algorithm are given and proved. The new algorithm based on homotopy extension has global convergence instead of local convergence of classical Newton-type methods.
Keywords :
Newton method; adaptive control; convergence of numerical methods; learning systems; nonlinear control systems; Newton method; convergence; homotopy extension method; iterative learning control algorithm; nonlinear system; Automatic control; Control systems; Convergence; Iterative algorithms; Iterative methods; Newton method; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Sufficient conditions; homotopy extension method; iterative learning control; nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.204
Filename :
5287500
Link To Document :
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