Data-driven optimal terminal iterative learning control

Data-driven optimal terminal iterative learning control

This paper presents a data-driven optimal terminal iterative learning control (TILC) approach for linear and nonlinear discrete-time systems. The iterative learning control law is updated from only terminal output tracking error instead of entire output trajectory tracking error. The only required k...

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Bibliographic Details
Main Authors: Chi, Ronghu, Wang, Danwei, Hou, Zhongsheng, Jin, Shangtai
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/95852
http://hdl.handle.net/10220/11300

Internet

https://hdl.handle.net/10356/95852
http://hdl.handle.net/10220/11300

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