Corpus ID: 199472861

Optimization-Based Learning Control for Nonlinear Time-Varying Systems

@article{Meng2019OptimizationBasedLC,
  title={Optimization-Based Learning Control for Nonlinear Time-Varying Systems},
  author={Deyuan Meng and Jingyao Zhang},
  journal={ArXiv},
  year={2019},
  volume={abs/1908.02447}
}
Learning to perform perfect tracking tasks based on measurement data is desirable in the controller design of systems operating repetitively. This motivates the present paper to seek an optimization-based design approach for iterative learning control (ILC) of repetitive systems with unknown nonlinear time-varying dynamics. It is shown that perfect output tracking can be realized with updating inputs, where no explicit model knowledge but only measured input/output data are leveraged. In… Expand
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Iterative learning control (ILC) is a technique to make use of the repetitiveness of the tasks a system is commanded to execute in a fixed finite time interval. In this paper, we assume that aExpand
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