Event-Based Fuzzy Tracking Control for Nonlinear Networked Systems Subject to Dynamic Quantization

This article investigates the problem of event-based output feedback tracking control for discrete-time nonlinear networked systems with dynamic quantization. The Takagi-Sugeno (T-S) fuzzy systems theory is utilized to approximate the investigated nonlinear systems. Three general dynamic quantizers...

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Published inIEEE transactions on fuzzy systems Vol. 31; no. 3; pp. 941 - 954
Main Authors Li, Zhi-Min, Chang, Xiao-Heng, Xiong, Jun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract This article investigates the problem of event-based output feedback tracking control for discrete-time nonlinear networked systems with dynamic quantization. The Takagi-Sugeno (T-S) fuzzy systems theory is utilized to approximate the investigated nonlinear systems. Three general dynamic quantizers and an improved asynchronous event-triggering communication scheme are carried out to comprehensively decrease the amount of data in the communication of network and realize the rational utilization of limited communication resources. The objective is to design an event-based static output feedback tracking controller such that, in the presence of dynamic quantization, the closed-loop system can be asymptotically stabilized, and the tracking error achieves the predefined tracking performance. Moreover, the parameters for the desired dynamic quantizers and tracking controller can be obtained simultaneously by solving a set of linear matrix inequalities. Finally, the simulation responses are provided to demonstrate the validity of the proposed tracking control strategy.
AbstractList This article investigates the problem of event-based output feedback tracking control for discrete-time nonlinear networked systems with dynamic quantization. The Takagi-Sugeno (T-S) fuzzy systems theory is utilized to approximate the investigated nonlinear systems. Three general dynamic quantizers and an improved asynchronous event-triggering communication scheme are carried out to comprehensively decrease the amount of data in the communication of network and realize the rational utilization of limited communication resources. The objective is to design an event-based static output feedback tracking controller such that, in the presence of dynamic quantization, the closed-loop system can be asymptotically stabilized, and the tracking error achieves the predefined tracking performance. Moreover, the parameters for the desired dynamic quantizers and tracking controller can be obtained simultaneously by solving a set of linear matrix inequalities. Finally, the simulation responses are provided to demonstrate the validity of the proposed tracking control strategy.
Author Li, Zhi-Min
Chang, Xiao-Heng
Xiong, Jun
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Snippet This article investigates the problem of event-based output feedback tracking control for discrete-time nonlinear networked systems with dynamic quantization....
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SubjectTerms Closed loops
Control design
Control systems
Controllers
Counters
Discrete time systems
Dynamic quantization
event-triggering communication scheme
Feedback control
Fuzzy control
Fuzzy systems
Linear matrix inequalities
Mathematical analysis
Measurement
Nonlinear control
Nonlinear systems
Output feedback
Quantization (signal)
Systems theory
Takagi–Sugeno (T–S) fuzzy systems
Tracking control
Tracking errors
Tracking loops
Title Event-Based Fuzzy Tracking Control for Nonlinear Networked Systems Subject to Dynamic Quantization
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