T-S fuzzy model based event-triggered change control for product and supply chain systems

Zhibo Wei, Yongze Liu, Yingnian Wu, Wenbai Chen and Qing-Kui Li

International Journal of Systems Science, 2024, vol. 55, issue 3, 426-439

Abstract: Product and supply chain systems are a class of complex nonlinear systems due to the uncertain demand fluctuation and unexpected events, and Takagi–Sugeno (T-S) fuzzy systems are suitable for modelling such product and supply chain systems with different production rates. According to the uncertainty customer demands, different subsystems which describe the corresponding production-inventory processes are orchestrated by the T-S fuzzy rule. Change control is designed to handle the supply chain blocking and event breaking caused by uncertain factors. Then, sufficient conditions are given such that the exponential stability with a prescribed bullwhip effect attenuation level can be guaranteed, and the control synthesis problem is transformed into the solvability of linear matrix inequalities for the product and supply chain systems. An example is introduced to verify the validness and efficiency of the proposed approach.

Date: 2024
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DOI: 10.1080/00207721.2023.2272302

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