Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
