Robust Stabilization for Fuzzy Network Control Systems with Data Drift
Publish Year: 1391
Type: Journal paper
Language: English
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Document National Code:
JR_MJEEMO-12-3_002
Index date: 11 March 2025
Robust Stabilization for Fuzzy Network Control Systems with Data Drift abstract
In this study, a robust controller is designed for fuzzy network control systems (NCSs) using the static output feedback. Delay and data packet dropout affect on the stability of network control systems, and therefore, the asymptotic stability condition is established considering delay and data packet dropout. Delay is time-varying while the lower and upper bounds for delay is defined, and the number of data packet dropout is unknown. Data drift is also an important phenomena that may occur when data is transmitted from sensors to the controller and from the controller to actuators. This phenomenon is modeled as a stochastic variable with a probabilistic distribution. For stability analyses, Lyapunov–Krasovskii functions, which depend on the limits of delay and data packet dropout, are used. Results of controller design are derived as Linear Matrix Inequalities (LMIs). A numerical example is adopted to show the effectiveness of the proposed approach.
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Robust Stabilization for Fuzzy Network Control Systems with Data Drift authors
حسین کارگر
M.Sc. Students, Control Engineering Dept., School of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran.
جعفر زارعی
Assistant professor, Control Engineering Dept., School of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran.