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 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.