Design and simulation of the fuzzy control system based on the granular function
上海师范大学学报. 自然科学版, 2017 Fuzzy control is a control method that is built by the fuzzy mathematics theory.In controlling field,it is especially suitable for some control system whose mathematical model can not be accurately built by exact math.But in fuzzy controlling field,the ...
Tang Wei, Yin Ye, Peng Ye
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Zero overshoot and fast transient response using a fuzzy logic controller [PDF]
, 2012 In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
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Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
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Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules
Applied Sciences, 2020 The paper proposes a methodology to online self-evolve direct fuzzy logic controllers (FLCs), to deal with unknown and time-varying dynamics. The proposed methodology self-designs the controller, where fuzzy control rules can be added or removed ...
Jérôme Mendes +3 more
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Computer and fuzzy theory application: review in home appliances [PDF]
Journal of Fuzzy Extension and Applications, 2020 Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership function of the set and the colloquial ...
Tim Chen +3 more
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Fuzzy Regression Control Chart Based on α-cut Approximation [PDF]
International Journal of Computational Intelligence Systems, 2010 The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of the “α-level fuzzy midrange for α-
Sevil Sentürk
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Sistem Kendali Fuzzy Bertipe-2 Interval dengan Struktur Adaptif Beracuan Model
Journal of Mathematical and Fundamental Sciences, 2013 Adaptive fuzzy controller is a fuzzy controller that has ability to change its parameters when the plant's operating conditions vary. In this paper, design and implementation of model reference adaptive fuzzy control are presented.
Bambang Riyanto, Wakhyu Dwiono
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Interval Fuzzy Type-2 Sliding Mode Control Design of Six-DOF Robotic Manipulator
Mathematics, 2022 The remarkable features of hybrid SMC assisted with fuzzy systems supplying parameters of the controller have led to significant success of these control approaches, especially in the control of multi-input and multi-output nonlinear systems.
Yassine Bouteraa +5 more
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
, 2003 This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Formalization of Fuzzy Control in Possibility Theory via Rule Extraction
IEEE Access, 2019 Possibility system has been recently recognized as a potential foundational theory for fuzzy set theory though the concept of possibility originated from the membership function of fuzzy sets. As an application of fuzzy set theory, fuzzy control has been
Wei Mei
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