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Centered on the non-parallel distribution compensation (non-PDC) control scheme, this paper attempts to tackle the issue of event-triggered local stabilization for nonhomogeneous Takagi-Sugeno (T-S) fuzzy Markov jump systems (FMJSs) that take mismatched fuzzy basis functions (FBFs) into consideration. With this aim, this paper presents a framework for formulating local stabilization criteria built on fuzzy Lyapunov functions, establishing criteria for defining an attraction region within an invariant ellipsoidal set and incorporating the occurrence of energy-constrained disturbances into the local control problem. In addition, the mismatch problem encountered in designing an event-triggered fuzzy controller is resolved by integrating a congruent transformation matrix that relies on mismatched fuzzy basis functions while preserving the dependence of the Lyapunov function on the original premise functions. Furthermore, to simultaneously cope with complex and diverse system parameter constraints, a systematic and less conservative method is proposed, which involves centralizing nonhomogeneous transition probabilities (TPs), transforming mismatched fuzzy basis functions into fuzzy basis function errors, and employing relaxation techniques.
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http://dx.doi.org/10.1016/j.isatra.2025.03.022 | DOI Listing |
IEEE Trans Cybern
September 2025
This article is concerned with passivity and synchronization for fuzzy coupled reaction-diffusion neural networks (FCRDNNs) with multistate couplings or multiple spatial-diffusion couplings. First, by utilizing an adaptive state feedback controller, several passivity criteria for the FCRDNNs with multistate couplings are obtained. Moreover, a sufficient condition to guarantee the synchronization for the multistate coupled FCRDNNs is also given on the basis of the devised adaptive state feedback control scheme.
View Article and Find Full Text PDFFoods
August 2025
College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Tartary buckwheat hulls, a phenolic-rich by-product of buckwheat processing, offer great potential for resource utilization. In this study, ultrasound-assisted enzymatic extraction with two temperatures (40 °C and 50 °C) was employed to obtain phenolics from Tartary buckwheat hulls. Compared with the traditional extraction method (207 mg/100 g), ultrasound-assisted enzymatic extraction increased the total phenolic yield by 91.
View Article and Find Full Text PDFSci Adv
August 2025
Department of Chemistry and Pharmacy, Institute of Biochemistry, University of Münster, Münster, Germany.
Rab GTPases organize intracellular trafficking and provide identity to organelles. Their spatiotemporal activation by guanine nucleotide exchange factors (GEFs) is tightly controlled to ensure fidelity. Our structural and functional comparison of the tri-longin domain RabGEFs Mon1-Ccz1 and Fuzzy-Inturned reveals the molecular basis for their target specificity.
View Article and Find Full Text PDFCurrent biological behavior models only take the external environment information as the basis for decision-making, ignoring the internal emotional state information. A memristor-based cerebellar model articulation controller (CMAC) neural network circuit of artificial fish behavioral decision is designed, and fuzzy emotion is taken into account. The designed circuit is mainly composed of voltage selection modules, fuzzy processing modules, synaptic neuron modules, eigen quantity modules and feedback modules.
View Article and Find Full Text PDFAccid Anal Prev
October 2025
School of Transportation Engineering, Chang'an University, Xi'an, Shaanxi 710064, China. Electronic address:
There are significant differences in driving styles among different drivers. A personalized perspective on driving risk assessment and prediction can help to proactively prevent traffic safety and provide a risk prediction basis for intelligent driver assistance systems. A personalized driving risk assessment and rolling prediction method is proposed to predict a driver's potential accident risk in real-time by integrating vehicle dynamics and Heart Rate Variability (HRV) indicators.
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