Quantized dynamic output feedback control for networked control systems |
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Authors: | Chong Jiang Dexin Zou Qingling Zhang Song Guo |
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Affiliation: | 1. Institute of Systems Science,Northeastern University,Shenyang 110004,P.R.China;Key Laboratory of Integrated Automation of Process Industry,Northeastern University,Shenyang 110004,P.R.China;Research Center of Sports Social Science,Shenyang Sports University,Shenyang 110102,P.R.China 2. Research Center of Sports Social Science,Shenyang Sports University,Shenyang 110102,P.R.China 3. Institute of Systems Science,Northeastern University,Shenyang 110004,P.R.China;Key Laboratory of Integrated Automation of Process Industry,Northeastern University,Shenyang 110004,P.R.China |
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Abstract: | The problem of the quantized dynamic output feedback controller design for networked control systems is mainly discussed. By using the quantized information of the system measurement output and the control input, a novel networked control system model is described. This model includes many networkinduced features, such as multi-rate sampled-data, quantized signal, time-varying delay and packet dropout. By constructing suitable Lyapunov-Krasovskii functional, a less conservative stabilization criterion is established in terms of linear matrix inequalities. The quantized control strategy involves the updating values of the quantizer parameters μi(i = 1, 2)(μi take on countable sets of values which dependent on the information of the system measurement outputs and the control inputs). Furthermore, a numerical example is given to illustrate the effectiveness of the proposed method. |
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Keywords: | networked control systems sampled-data linear matrix inequalities quantized dynamic output feedback |
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