An iterative learning control design approach for networked control systems with data dropouts |
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| Authors: | Bu Xuhui Hou Zhongsheng Jin Shangtai Chi Ronghu |
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| Affiliation: | 1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China;2. Advanced Control Systems Lab, School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China;3. School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China |
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| Abstract: | In network‐based iterative learning control (ILC) systems, data dropout often occurs during data packet transfers from the remote plant to the ILC controller. This paper considers the problem of controller design for such ILC processes. Packet missing is modeled by stochastic variables satisfying the Bernoulli random binary distribution, which renders such an ILC system to be a stochastic one. Then, the design of ILC law is transformed into the stabilization of a 2‐D stochastic system described by the Roesser model. A sufficient condition for mean‐square asymptotic stability is established by means of a linear matrix inequality technique, and formulas can be given for the control law design simultaneously. This result is further extended to more general cases where the system matrices also contain uncertain parameters. The effectiveness and merits of the proposed method are illustrated by a numerical example. Copyright © 2015 John Wiley & Sons, Ltd. |
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| Keywords: | iterative learning control networked control systems robust design data dropouts 2‐D Roesser model |
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