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author:

Qi, Yiwen (Qi, Yiwen.) [1] | Qu, Ziyu (Qu, Ziyu.) [2] | Yao, Zhaohui (Yao, Zhaohui.) [3] | Zhao, Xiujuan (Zhao, Xiujuan.) [4] | Tang, Yiwen (Tang, Yiwen.) [5]

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Abstract:

Iterative learning control (ILC) is an effective control strategy for complex systems that uses trial and error to obtain desired output trajectories. This paper focuses on the issue of event-triggered ILC for switched systems with asynchronous switching. An event-triggered ILC method is designed to reduce unnecessary controller updates during iterations. The main technical contribution is that the analysis and synthesis are performed in both time and iteration domains. First, in order to solve the asynchronous switching problem in the time direction and the update problem in the iteration direction, a Lyapunov function involving both directions is adopted. Second, to prove the convergence of tracking error and the system stability in both domains, a new prove method is proposed, in which the tracking error is summed over the entire time domain and the average dwell condition is summed over the entire iteration domain. Finally, the feasibility of theoretical result is verified by simulation. © 2022 Elsevier Inc.

Keyword:

Errors Iterative methods Learning algorithms Lyapunov functions System stability Time domain analysis Two term control systems

Community:

  • [ 1 ] [Qi, Yiwen]School of Automation, Shenyang Aerospace University, Shenyang; 110136, China
  • [ 2 ] [Qi, Yiwen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Qu, Ziyu]School of Automation, Shenyang Aerospace University, Shenyang; 110136, China
  • [ 4 ] [Yao, Zhaohui]School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing; 210016, China
  • [ 5 ] [Zhao, Xiujuan]School of Automation, Shenyang Aerospace University, Shenyang; 110136, China
  • [ 6 ] [Tang, Yiwen]School of Automation, Shenyang Aerospace University, Shenyang; 110136, China

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Source :

Applied Mathematics and Computation

ISSN: 0096-3003

Year: 2023

Volume: 440

3 . 5

JCR@2023

3 . 5 0 0

JCR@2023

ESI HC Threshold:13

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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