On the model-based networked control for singularly perturbed systems with nonlinear uncertainties |
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Authors: | Hongwang Yu Guoping LuYufan Zheng |
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Affiliation: | a School of Mathematics and Statistics, Nanjing Audit University, Nanjing 211815, Chinab School of Electrical Engineering, Nantong University, Nantong 226019, Jiangsu, Chinac NICTA Victoria Research Laboratory, University of Melbourne, Australiad Department of Mathematics, Shanghai University, Shanghai 200436, China |
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Abstract: | In this paper, the model-based networked control is addressed for a class of singularly perturbed control systems with nonlinear uncertainties. An approximate linear slow and fast control system of the plant, which can be obtained by omitting the nonlinear uncertainties, are used as a model to estimate the state behavior of the plant between transmission times. The stability of model-based networked control systems is investigated under the assumption that the controller/actuator is updated with the sensor information at constant time intervals. It is shown that there exists the allowable upper bound of the singular perturbation parameter such that the model-based networked control system is globally exponentially stable. |
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Keywords: | Singularly perturbed systems Model-based networked control Robustly stable |
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