Observer-based event-impulse mixed triggered fault detection for nonlinear semi-Markov jump systems

Xia, Menghua; Xiong, Junlin; Shi, Kaibo; He, Shuping

doi:10.1016/j.jfranklin.2022.04.020

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…[13][14][15][16] emphasized that the ST could follow more generic probability distributions. Therefore, compared to MJSs, SMJSs [17][18][19] have a wider range of practical application domains, and MJSs are thought to be more specific than SMJSs. Additionally, as the T-S fuzzy approach can simulate complex nonlinear systems, fuzzy model-based SMJSs [20,21] have also drawn a lot of attention.…”

Section: Introductionmentioning

confidence: 99%

Equivalent-Input-Disturbance Based Robust Control Design for Fuzzy Semi-Markovian Jump Systems via the Proportional-Integral Observer Approach

et al. 2023

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This work focuses on the design of a unified control law, which enhances the accuracy of both the disturbance estimation and stabilization of nonlinear T-S fuzzy semi-Markovian jump systems. In detail, a proportional-integral observer based equivalent-input-disturbance (PIO-EID) approach is considered to model and develop the controller. The PIO approach includes a variable for relaxation in the system design along with an additional term for integration to improve the flexibility of the design and endurance of the system. The proposed stability criteria are formulated in the form of matrix inequalities using Lyapunov theory and depend on the sojourn time for robust control design. Final analyses are performed using MATLAB software with simulations to endorse the theoretical findings of this paper.

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