Dynamic output feedback for T-S fuzzy model based on chaotic systems with uncertainties

2010 ◽  
Author(s):  
Zhaona Chen ◽  
Yuanwei Jing ◽  
G M Dimirovski
Keyword(s):  
Output Feedback ◽  
Chaotic Systems ◽  
Fuzzy Model ◽  
Dynamic Output Feedback ◽  
Model Based ◽  
Dynamic Output

scholarly journals H∞ Tracking Control of Fuzzy Dynamic Output for Nonlinear Networked System with Packet Dropouts

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Yang Wang ◽  
Jinna Li ◽  
Xiaolei Ji
Keyword(s):  
Output Feedback ◽  
Tracking Control ◽  
Closed Loop ◽  
Reference Model ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Loop System ◽  
Dynamic Output Feedback ◽  
Closed Loop System ◽  
Dynamic Output

The tracking control of H∞ dynamic output feedback is proposed for the fuzzy networked systems of the same category, in which each system is discrete-time nonlinear and is missing measurable data. In other words, the loss of data packet occurs randomly in both the uplink and the downlink. The independent variables that are called the Bernoulli random variables are considered to design the loss of data packets. The method of parallel distributed compensation (PDC) in terms of the T-S fuzzy model is applied to investigate the dynamic controller of tracking control on the systems. Then, it is presented that the analytical H∞ performance of the output error between the reference model and the fuzzy model for the closed-loop system containing dynamic output feedback controller is proven. Furthermore, the achieved sufficient conditions in terms of LMIs ensure that the closed-loop system is stochastically stable in the H∞ sense. Finally, a numerical system is offered to show the effectiveness of the established technique.

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