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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ronghu Chi Zhongsheng Hou Shangtai Jin Danwei Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: EXQUISITUS, Centre for E-City, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore (Danwei Wang) || School of Automation & Electrical Engineering, Qingdao University of Science & Technology, Qingdao, China (Ronghu Chi) || School of Electronics & Information Engineering, Beijing Jiaotong University, Beijing, China (Zhongsheng Hou; Shangtai Jin) |
| Abstract | Most of the available results of adaptive iterative learning control (AILC) hitherto have considered the control systems with known linearly parameterized structures. A dynamical linearization approach is developed for a general nonlinear multiple input multiple output systems. And then a discrete-time adaptive ILC approach is presented to deal with the ILC problems of nonlinear MIMO systems with iteration-varying initial error and reference trajectory. The controller design and analysis is completely data-driven without using any modeling information of the plant, but the measured I/O data only. The almost perfect tracking performance is asymptotically guaranteed by rigirous mathematical analysis. |
| Starting Page | 442 |
| Ending Page | 446 |
| File Size | 97143 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467318716 |
| e-ISBN | 9781467318723 |
| e-ISBN | 9781467318709 |
| DOI | 10.1109/ICARCV.2012.6485199 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive systems Nonlinear systems Trajectory MIMO Convergence Robots Iteration-varying target trajectories Adaptive iterative learning control Nonlinear discrete-time System dynamical linearization Random initial condition |
| Content Type | Text |
| Resource Type | Article |
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