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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ronghu Chi Zhongsheng Hou Shangtai Jin Chiang-Ju Chien Danwei Wang |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Danwei Wang) || Sch. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China (Ronghu Chi) || Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China (Zhongsheng Hou; Shangtai Jin) || Fac. of Electron. Eng., Huafan Univ., Taipei, Taiwan (Chiang-Ju Chien) |
| Abstract | Terminal iterative learning control (TILC) has been developed to track a single desired point at the terminal end of operation interval over iterations. In this paper, the feedback control knowledge of previous time instants is utilized via an equivalent dynamical predictive model to update the input signals for the TILC problem. The proposed scheme consists of a control input updating law with feedback information and a parameter updating law together. The new approach is a data-driven control strategy where the controller design and analysis requires only the measurement I/O data without using any model information of the plant. The effectiveness of the proposed approach is guaranteed by rigorous analysis. |
| Starting Page | 1156 |
| Ending Page | 1161 |
| File Size | 335702 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479928378 |
| DOI | 10.1109/ICCA.2014.6871085 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-18 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Predictive models Educational institutions Data models Convergence Analytical models Process control Electronic mail |
| Content Type | Text |
| Resource Type | Article |
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