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Fuzzy Mamdani Pada Tanaman Tomat Hidroponik (Mamdani Fuzzy on Hydroponics Tomato Plants)

JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA), 2019
Abstract — Tomato plants are one of the many agricultural commodities needed by the community. Most farmers grow tomatoes in conventional ways in the fields, fields or plantations without the control and measurement relying on experience and habitual factors, so the need for pH and temperature of the planting space of tomato plants cannot be given ...
Prasetya, Budi   +2 more
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Mamdani fuzzy controller on NBV space

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999
By regarding the set of fuzzy membership functions as a subset of normal bounded variation (NBV) space, we show it's compactness in weak topology. We prove also that the Mamdani controller is a continuous functional on the set in the same topology. The results are an extension of Yang et al.
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Mamdani Fuzzy PID Controllers

2009
This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
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Temperature Fuzzy Control System with Mamdani Controller

2018 International Conference and Exposition on Electrical And Power Engineering (EPE), 2018
Implementing a fuzzy logic controller with Iookup table (FLC-LT) for a qualified operator is an easy task. Good performance for a fuzzy control system with FLC-LT are difficult to achieve due to the reduced number of fuzzy control values that can be introduced in a lookup table.
Lucian Mastacan   +1 more
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Mamdani-Larsen Type Transfer Learning Fuzzy System

Acta Automatica Sinica, 2012
The classical fuzzy system modeling methods only consider the single scene, which may bring up the following weakness: if the information of partial data is missing, the fuzzy systems constructed based on this dataset will have the weak generalization abilities for this scene.
Yi-Zhang JIANG   +2 more
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A fuzzy additive reasoning scheme for probabilistic Mamdani fuzzy systems

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004
We introduce a type of probabilistic fuzzy system with a generalized Mamdani-type fuzzy rule base, and an additive reasoning scheme where conditional probabilities on fuzzy events are aggregated using an interpolation approach. In this way, probabilistic fuzzy outputs can be calculated for arbitrary crisp input vectors.
Kaymak, U.   +2 more
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Fuzzy Mamdani-based Model Predictive Load Frequency Control

2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2020
In this paper, an adaptive artificial fuzzy Mamdani-based model predictive approach for load frequency regulation of an isolated microgrid (IMG) is presented. A generalized state-space representation of an IMG comprising power sources is derived and exploited to predict the future behavior and control inputs for the IMG in order to regulate the ...
Mohammad Saeid Akbari   +4 more
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Critical Server Determination using Fuzzy Mamdani and Fuzzy Sugeno Methods

2019 Fourth International Conference on Informatics and Computing (ICIC), 2019
As a service company engaged in the field of logistics prioritizes services especially in providing information services to the customer or client. However, in the common problems of the technology information system which is used in particular is happening is the server down. This is due to several factors could not be predicted.
Sardjoeni Moedjiono   +2 more
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Mamdani type fuzzy inference failures in navigation

2011 9th IEEE International Conference on Industrial Informatics, 2011
This paper proposes a methodology to overcome failures on Mamdani rule based fuzzy inferences in navigation. The fuzzy inference failures are observed in three situations: Intersected contradictory decision boundaries, improper transition region between the inference boundaries of non-intersected contradictory decisions and contradictory decision ...
Lokukaluge P. Perera   +2 more
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Iterative Design of a Mamdani Fuzzy Controller

2018 13th APCA International Conference on Control and Soft Computing (CONTROLO), 2018
Addressed to the problem of translating the control knowledge of a human expert operator into fuzzy control rules, this paper proposes an approach to automatically design a Mamdani fuzzy logic controller. The proposed approach is based on the use of a data set extracted from a process that has been manually controlled, and has the aim of learning a ...
Jerome Mendes   +2 more
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