Abstract Details
7 / 2018-01-11 10:29:49
Iterative Learning control for Singular Systems with an Arbitrary Initial State
Singular system, Iterative learning control, Arbitrary initial state, D-type learning law
Draft Pending
In this paper, we investigate iterative learning control problem for a class linear singular system with an arbitrary initial state based on singular value decomposition. A novel generalized theoretical result is presented by using the D-type learning law and the conditions for convergence of algorithm are established. Combining the matrix theory with the basic theory of singular gives rigorous convergence proof of the algorithm. The effectiveness of the theoretical result is illustrated in two application examples.
Important Date
-
Conference Date
May 25
2018
toMay 27
2018
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Dec 20 2017
Abstract Submission Deadline
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Dec 20 2017
Draft paper submission deadline
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Mar 01 2018
Draft Paper Acceptance Notification
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Mar 31 2018
Final Paper Deadline
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May 27 2018
Registration deadline
Sponsored By
IEEE
Organized By
Technical Committee on Data Driven Control, Learning and Optimization, Chinese Association of Automation
Contact Information
- Chenkun Yin
- ch******@bjtu.edu.cn
- +86*********
Previous Conferences
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2025-05-09 China Wuxi
2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS) -
2024-05-17 China Kaifeng
2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS) -
2023-05-12 China Xiangtan
2023 IEEE 12th Data Driven Control and Learning Systems Conference -
2022-05-13 China Chengdu
2022 IEEE 11th Data Driven Control and Learning Systems Conference -
2021-05-14 China Suzhou
2021 IEEE 10th Data Driven Control and Learning Systems Conference -
2019-05-24 China
2019 IEEE 8th Data Driven Control and Learning Systems Conference -
2017-05-26 China Chongqing,China
2017 6th Data Driven Control and Learning Systems -
2017-05-26 China Chongqing,China
The 6th Data Driven Control and Learning Systems Conference
