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Content Provider | IEEE Xplore Digital Library |
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Author | Yan Li Yang Zhao YangQuan Chen Hyo-Sung Ahn |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Mechatron., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea (Hyo-Sung Ahn) || Sch. of Eng., Univ. of California, Merced, Merced, CA, USA (YangQuan Chen) || Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China (Yan Li; Yang Zhao) |
Abstract | In this paper, a practical Identification strategy is applied to the optimal design of fractional-order iterative learning control (FOILC). The initialized fractional-order gray-box system with commensurate order or non-commensurate order is identified by using the fractional-order iterative learning Identification and the least square or instrumental variable method. The optimal $D^{α}-type$ FOILC is derived from the estimated system and by the assumption that the fractional-order system is repeatable. Many other discussions on FOILC can be included as special cases of this paper. A number of illustrated examples are shown to validate the concepts. |
Starting Page | 7 |
Ending Page | 12 |
File Size | 319745 |
Page Count | 6 |
File Format | |
ISBN | 9781479937073 |
e-ISBN | 9781479937080 |
DOI | 10.1109/CCDC.2014.6852108 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-05-31 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Linear systems Data driven Laplace equations Control systems Educational institutions MIMO Initialized fractional calculus Identification Fractional calculus Optimization Convergence Iterative learning control |
Content Type | Text |
Resource Type | Article |
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