Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism
This paper investigates an iterative learning control for single-input, single-output, and linear time-invariant discrete system. The special design of the learning gain matrix is introduced, where a finite uniform quantizer is incorporated with an encoding and decoding mechanism to realize the zero...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8719965/ |
| _version_ | 1818924205903708160 |
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| author | Niu Huo Dong Shen |
| author_facet | Niu Huo Dong Shen |
| author_sort | Niu Huo |
| collection | DOAJ |
| description | This paper investigates an iterative learning control for single-input, single-output, and linear time-invariant discrete system. The special design of the learning gain matrix is introduced, where a finite uniform quantizer is incorporated with an encoding and decoding mechanism to realize the zero-error convergence of a tracking problem. Furthermore, the boundary-level calculation is considerably improved using lifting technique and infinity-norm of vectors under this mechanism. Some illustrations of the simulations verify the theoretical results. |
| first_indexed | 2024-12-20T02:21:38Z |
| format | Article |
| id | doaj.art-e6e7d616054c4ad9ae73764412e67b4d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T02:21:38Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e6e7d616054c4ad9ae73764412e67b4d2022-12-21T19:56:49ZengIEEEIEEE Access2169-35362019-01-017666236663210.1109/ACCESS.2019.29181868719965Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding MechanismNiu Huo0Dong Shen1https://orcid.org/0000-0003-1063-1351College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, ChinaCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing, ChinaThis paper investigates an iterative learning control for single-input, single-output, and linear time-invariant discrete system. The special design of the learning gain matrix is introduced, where a finite uniform quantizer is incorporated with an encoding and decoding mechanism to realize the zero-error convergence of a tracking problem. Furthermore, the boundary-level calculation is considerably improved using lifting technique and infinity-norm of vectors under this mechanism. Some illustrations of the simulations verify the theoretical results.https://ieeexplore.ieee.org/document/8719965/Iterative learning controluniform quantizerboundary-level calculationlifting technique |
| spellingShingle | Niu Huo Dong Shen Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism IEEE Access Iterative learning control uniform quantizer boundary-level calculation lifting technique |
| title | Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism |
| title_full | Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism |
| title_fullStr | Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism |
| title_full_unstemmed | Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism |
| title_short | Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism |
| title_sort | improving boundary level calculation in quantized iterative learning control with encoding and decoding mechanism |
| topic | Iterative learning control uniform quantizer boundary-level calculation lifting technique |
| url | https://ieeexplore.ieee.org/document/8719965/ |
| work_keys_str_mv | AT niuhuo improvingboundarylevelcalculationinquantizediterativelearningcontrolwithencodinganddecodingmechanism AT dongshen improvingboundarylevelcalculationinquantizediterativelearningcontrolwithencodinganddecodingmechanism |