A discrete-time adaptive iterative learning from different reference trajectory for linear time-varying systems

Author

Chi Ronghu ; Wang Danwei ; Hou Zhongsheng ; Jin Shangtai ; Zhang Dexia

Author_Institution

Sch. of Autom. & Electr. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China

fYear

2012

fDate

25-27 July 2012

Firstpage

3013

Lastpage

3016

Abstract

An adaptive ILC approach is presented for a linear MIMO discrete-time system to track different reference trajectory. The presented adaptive ILC is a data-driven approach in nature and the controller does not contain any modeling information of the plant. The unknown Markov parameter of the plant is iteratively estimated only using the I/O data of the plant. The rigorous analysis shows the asymptotic convergence of the presented method for iteration-varying reference trajectory.

Keywords

MIMO systems; Markov processes; adaptive control; discrete time systems; learning systems; linear systems; time-varying systems; trajectory control; Markov parameter; adaptive ILC approach; asymptotic convergence; data-driven approach; discrete-time adaptive iterative learning; iteration-varying reference trajectory; linear MIMO discrete-time system; linear time-varying systems; plant I-O data; reference trajectory tracking; Adaptive systems; Convergence; Educational institutions; Robots; Time varying systems; Trajectory; Adaptive ILC; Data-driven control; Different reference trajectory; Discrete-Time; Linear time-varying Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390439