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Content Provider | IEEE Xplore Digital Library |
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Author | Tong Duy Son Dinh Hoa Nguyen Hyo-Sung Ahn |
Copyright Year | 2011 |
Description | Author affiliation: Distributed Control and Autonomous Systems Laboratory, Department of Mechatronics, Gwangju Institute of Science and Technology (GIST), Korea (Tong Duy Son; Hyo-Sung Ahn) || Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, Japan (Dinh Hoa Nguyen) |
Abstract | This paper presents a new optimization-based iterative learning control (ILC) framework for multiple-point tracking control. Conventionally, one demand prior to designing ILC algorithms for such problems is to build a reference trajectory that passes through all given points at given times. In this paper, we produce output curves that pass close to the desired points without considering the reference trajectory. Here, the control signals are generated by solving an optimal ILC problem with respect to the points. As such, the whole process becomes simpler; key advantages include significantly decreasing the computational cost and improving performance. Our work is then examined in both continuous and discrete systems. |
Starting Page | 6025 |
Ending Page | 6030 |
File Size | 291294 |
Page Count | 6 |
File Format | |
ISBN | 9781612848006 |
ISSN | 07431546 |
e-ISBN | 9781612848013 |
e-ISBN | 9781612847993 |
DOI | 10.1109/CDC.2011.6160494 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-12-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Trajectory Convergence Vectors Continuous time systems Symmetric matrices Algorithm design and analysis Cost function |
Content Type | Text |
Resource Type | Article |
Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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