Fuzzy Reasoning Based on Truth-Value Progression: A Control-Theoretic Design Approach

Meng, Tianchuang; Zhang, Wei; Huang, Jin; Chen, Ye‐Hwa; Chew, Chee-Meng; Yang, Diange; Zhong, Zhihua

doi:10.1007/s40815-023-01459-4

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2024

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Cited by 3 publications

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“…To satisfy the high control requirements during start-up for long-distance transportation, the uncertainties, that is loads, stiffness, damping, and frictions, needs to be described precisely. And some methods have been applied to different cases [7][8][9]. These methods achieve compensa-tion for uncertainty by establishing more accurate system models or designing more robust controllers.…”

Section: Introductionmentioning

confidence: 99%

Exponential robust control for fuzzy belt conveyors model with adaptive tension force

Yue,

Li,

Zong

et al. 2024

Asian Journal of Control

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There exist multiple uncertainties in the belt conveyor system. To reduce the system errors and save the control energy, the uncertainties need to be described and compensated accurately. In this paper, the fuzzy set theory is applied to establish the fuzzy dynamical model. Then, an exponential control is designed and a noncooperative‐game based optimization approach is proposed to solve out the Nash equilibrium. The novel control with optimal parameters including the adaptive tension force are applied to render the system uniform boundedness and uniform ultimate boundedness. Finally, the simulations are performed for verification.

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Section: Introductionmentioning

confidence: 99%