Title :
A New Iterative Learning Control Scheme Based on Damped Newton Method for Nonlinear Systems
Author :
Han, Yu ; Yim, Kangbin ; Lai, Xiaochen ; Xu, Guangwei ; Liu, Hui ; Wang, Xilan
Author_Institution :
Software Sch., Dalian Univ. of Technol., Dalian, China
Abstract :
A new iterative learning control scheme based on damped Newton method for nonlinear systems is proposed. Originated from the Newton method, this new algorithm has advantage of the fast convergence speed. New parameter with clear structure is employed here. Furthermore, sufficient conditions for convergence of this new Newton-type method are given, and the proposed algorithm ensures the tracking error converges to zero and the sequence of the input is convergent with order 2 speed. Finally, the structure of the algorithm is entirely investigated.
Keywords :
Newton method; convergence; learning systems; nonlinear control systems; Newton-type method; algorithm structure; convergence speed; damped Newton method; input sequence; iterative learning control; nonlinear system; sufficient condition; tracking error; Algorithm design and analysis; Convergence; Educational institutions; Iterative methods; Machine learning; Newton method; Nonlinear systems; Newton-type method; iterative learning control; nonlinear systems;
Conference_Titel :
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1328-5
DOI :
10.1109/IMIS.2012.66
