Quantized control for networked interval type-2 fuzzy semi-Markov jump systems with unreliable links

This work is concerned with the observer-based quantized control for networked discrete interval type-2 fuzzy (IT2F) semi-Markov jump systems with unreliable links. In unreliable links, both packet loss and signal quantization are considered. Unlike traditional Takagi-Sugeno fuzzy model, nonlinear p...

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Bibliographic Details
Main Authors: Li, Runkun, Qi, Wenhai
Format: Conference Proceeding
Language:English
Subjects:
Automation
internal type-2 fuzzy
Kernel
Manipulators
Packet loss
Quantization (signal)
semi-Markov kernel
signal quantization
Takagi-Sugeno model
Uncertain systems
unreliable links
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Summary:This work is concerned with the observer-based quantized control for networked discrete interval type-2 fuzzy (IT2F) semi-Markov jump systems with unreliable links. In unreliable links, both packet loss and signal quantization are considered. Unlike traditional Takagi-Sugeno fuzzy model, nonlinear plant with parameter uncertainty is represented by IT2F model. Due to the difficulty of measuring actual system state, the observer-based measurement is adopted to estimate the system state. Based on the fuzzy model, the semi-Markov kernel (SMK) method, and the ST-dependent Lyapunov functions, some conditions for the existence of observer-based controller are constructed to ensure that the underlying system is σ-mean-square stable. Ultimately, the proposed method is validated by the single-link robot arm model.
ISSN:2837-8601
DOI:10.1109/YAC63405.2024.10598476