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Dissipative Fuzzy Tracking Control for Nonlinear Networked Systems With Quantization
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DOI：10.1109/TSMC.2018.2866996.png)
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In this paper, the quantized static output feedback dissipative tracking control problem is considered for a class of discrete-time nonlinear networked systems based on Takagi-Sugeno fuzzy model approach. The measurement output of the system, the output of the reference model, and the control input signals will be quantized by static quantizers before them being transmitted to the controller and the plant, respectively. The attention of this paper is focused on the design of the static output feedback tracking controller to asymptotically stabilize the nonlinear networked system and achieve strictly dissipative tracking performance subject to the quantization effects. Sufficient conditions for the existence of the static output feedback strictly dissipative tracking controller are expressed in terms of linear matrix inequalities. Two simulation examples are provided to show the effectiveness of the developed design method.
Keyword:
Quantization (signal)
Output feedback
Communication channels
Nonlinear control systems
Fuzzy systems
Fuzzy logic
Dissipative tracking control
nonlinear networked systems
quantization
Takagi– Sugeno (T– S) fuzzy systems
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IF:
10.5
论文数:
1.1W
被引数:
5.0W
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