Nonlinear Model Reference Control via Aperiodic Sampling
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2017 IEEE. In this paper, a dynamic aperiodic sampling approach is proposed for nonlinear model reference control systems. An exogenous dynamic model is introduced to drive the aperiodic sampling sequences. The uniformly ultimate boundedness of the reference error is proved and the proposed design is shown to be effective in reducing the sampling times. The theoretical results are validated by simulations of a nonlinear example.
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IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society