Results 151 to 160 of about 24,496 (213)

Hardware-in-loop implementation of an adaptive MPPT controlled PV-assisted EV charging system with vehicle-to-grid integration. [PDF]

Sci Rep
Singh S, Bansal HO.
europepmc   +1 more source

Super-twisting algorithm-based fuzzy sliding mode control for descriptor T-S fuzzy systems. [PDF]

Sci Rep
Li X, Zhang W, Yuan C.
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Evaluating digital technologies for architectural heritage preservation using interval-valued q-rung orthopair fuzzy aggregation operators. [PDF]

Sci Rep
Wang L.
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Takagi-Sugeno Fuzzy Nonlinear Control System for Optical Interferometry. [PDF]

Sensors (Basel)
Coradini MF, Felão LHV, Lyra SS, Teixeira MCM, Kitano C.   +4 more
europepmc   +1 more source

Fermatean fuzzy distance and Sugeno-Weber operators-based SPC-MARCOS approach for sustainable supplier evaluation in the healthcare supply chain. [PDF]

Sci Rep
Alrasheedi AF, Rani P, Mishra AR, Alshamrani AM, Cavallaro F.   +4 more
europepmc   +1 more source

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Sugeno's fuzzy measure and fuzzy clustering

Fuzzy Sets and Systems, 1985
Proposed is an iterative clustering method making use of Sugeno's fuzzy measure. The minimized performance index is of the form \(\sum^{c}_{i=1}\sum^{n}_{j=1}g_{ij}d_{ij}\), where c and n stand for the number of clusters (classes) and objects clustered, respectively.
Leszczyński, K., Penczek, P., Grochulski, W.   +2 more
openaire   +2 more sources

Observers for Takagi-Sugeno fuzzy systems

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2002
We focus on the analysis and design of two different sliding mode observers for dynamic Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple affine local linear models that are smoothly interpolated by weighting functions resulting from a fuzzy partitioning of the state space of a given nonlinear system subject to ...
P, Bergsten, R, Palm, D, Driankov
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Takagi-Sugeno Type Fuzzy Automaton Model

International Conference on Fuzzy Systems, 2009
Tracking the status of an event-driven, large control system is a difficult problem. Those systems often encounter unexpected events in an uncertain environment. Using a fuzzy automaton offers an effective approximation method to model continuous and discrete signals in a single theoretical framework.
Janos L. Grantner, George A. Fodor
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Multilabel Takagi-Sugeno-Kang Fuzzy System

IEEE Transactions on Fuzzy Systems, 2022
Multi-label classification can effectively identify the relevant labels of an instance from a given set of labels. However, the modeling of the relationship between the features and the labels is critical to the classification performance. To this end, we pro-pose a new multi-label classification method, called Multi-Label Takagi-Sugeno-Kang Fuzzy ...
Qiongdan Lou, Zhaohong Deng, Zhiyong Xiao, Kup-Sze Choi, Shitong Wang   +4 more
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Flexible takagi-sugeno fuzzy systems

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006
In the paper, a new class of Takagi-Sugeno fuzzy systems is derived. Various parameters and weights are incorporated into construction of such systems. The approach presented in the paper introduces more flexibility to the structure and design of neuro-fuzzy systems.
K. Cpalka, L. Rutkowski
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