TY - GEN
T1 - Trackability-Based Tracking Control for Stochastic Learning Systems
T2 - 63rd IEEE Conference on Decision and Control, CDC 2024
AU - Lv, Wenjin
AU - Zhang, Jingyao
AU - Meng, Deyuan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper focuses on exploring a novel trackability-based framework for the iterative learning control (ILC) systems subject to stochastic disturbances by using a two-dimensional (2-D) system method. By examining the fundamental trackability property of the stochastic ILC systems, the trackability-based stochastic ILC design and analysis framework is developed, eliminating the need for the common realizability assumption. Under this framework, thanks to the 2-D system method with the Roesser systems, the convergence results for both the output and input errors can be established under a unified condition, regardless of the full column or row rank of the input-output coupling matrix. A simulation example is included to demonstrate the validity of our proposed stochastic ILC design framework for ILC systems.
AB - This paper focuses on exploring a novel trackability-based framework for the iterative learning control (ILC) systems subject to stochastic disturbances by using a two-dimensional (2-D) system method. By examining the fundamental trackability property of the stochastic ILC systems, the trackability-based stochastic ILC design and analysis framework is developed, eliminating the need for the common realizability assumption. Under this framework, thanks to the 2-D system method with the Roesser systems, the convergence results for both the output and input errors can be established under a unified condition, regardless of the full column or row rank of the input-output coupling matrix. A simulation example is included to demonstrate the validity of our proposed stochastic ILC design framework for ILC systems.
UR - https://www.scopus.com/pages/publications/86000580807
U2 - 10.1109/CDC56724.2024.10885807
DO - 10.1109/CDC56724.2024.10885807
M3 - 会议稿件
AN - SCOPUS:86000580807
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4151
EP - 4156
BT - 2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 December 2024 through 19 December 2024
ER -