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صفحه اصلی
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سی و دومین کنفرانس بین المللی مهندسی برق
Development of Iterative Learning Control Method Based on Markov Parameters for High-Order Discrete-Time Singular Systems
نویسندگان :
Meysam Azhdari
1
Tahereh Binazadeh
2
Ali Gholami
3
1- Shiraz University of Technology
2- دانشگاه صنعتی شیراز
3- Shiraz University of Technology
کلمات کلیدی :
discrete-time singular systems،Iterative Learning Control Method،Markov parameters،trajectory tracking
چکیده :
This paper develops an Iterative Learning Control (ILC) method to solve the trajectory tracking problem for discrete-time singular systems of any order. For this purpose, the Markov parameter matrix of the system is extracted and a P-type ILC law is proposed. Sufficient conditions for the uniform asymptotic convergence of the tracking error are derived in the sense of tracking error vector. Furthermore, the feasibility and applicability of the proposed strategy are further demonstrated by providing simulation results of a practical example.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
