NDLI: A novel optimal terminal iterative learning control approach for linear time-varying systems

Content Provider	IEEE Xplore Digital Library
Author	Chi Ronghu Wang Danwei Hou Zhongsheng Jin Shangtai Zhang Dexia
Copyright Year	2012
Description	Author affiliation: Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong University, eijing 100044 (Hou Zhongsheng; Jin Shangtai) \|\| School of Automation & Electrical Engineering, Qingdao University of Science & Technology Qingdao 266042 (Chi Ronghu; Zhang Dexia) \|\| EXQUISITUS, Centre for E-City, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798 (Wang Danwei)
Abstract	This work explores a novel optimal terminal ILC approach to generate a control signal only from the information of the terminal point rather than the whole trajectory. The presented scheme is data-driven using the measured I/O data without knowing any modeling information of the plant. Compared with traditional optimal ILCs, the Markov parameters of the system can be iteratively estimated, which is used as a key part of the control law's learning gain. The stability and convergence is shown in the iteration domain by selecting suitable parameters.
Starting Page	7080
Ending Page	7083
File Size	128385
Page Count	4
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Terminal ILC Linear time-varying systems Time varying systems Optimal ILC Optimal control Markov processes Educational institutions MIMO Data-driven control Robots Convergence
Content Type	Text
Resource Type	Article

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