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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian-Xin Xu Ying Tan |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore (Jian-Xin Xu; Ying Tan) |
| Abstract | In this paper, we address two most important problems in the field of iterative learning control (ILC): how to quantify and analyze the system performance in iteration domain, and how to design robust optimal ILC according to performance indices specified in iteration domain and in the presence of system interval uncertainties. Two new performance indices, i.e., convergence speed in terms of R-factor and global uniform bound, are introduced in iteration domain with detailed analysis, which not only provide rigorous assessment for ILC performance but also facilitate the ILC optimal design with quantified criteria. A robust optimization design with min-max technique is developed, which takes into consideration of the two performance indices and the worst-case interval uncertainties simultaneously. Through rigorous analysis, it shows that the proposed design can optimized the two performance indices consistently. For illustration purposes two examples are provided. |
| Sponsorship | American Automatic Control Council IFAC |
| Starting Page | 3038 |
| Ending Page | 3043 |
| File Size | 525710 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780378962 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2003.1243994 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-06-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robust control Optimal control Performance analysis Convergence Control systems Robustness Uncertainty Design optimization System performance Transient response |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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