Proceedings ArticleDOI
Simulated annealing for fuzzy controller optimization: principles and applications
E. Huyghe,Yskandar Hamam +1 more
- Vol. 5, pp 4509-4514
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TLDR
A method for the optimization of a fuzzy logic controller, based on simulated annealing, to provide efficient solutions independently of the choice of the controller structure is proposed.Abstract:
In this paper we propose a method for the optimization of a fuzzy logic controller, based on simulated annealing. The main feature of this method is to provide efficient solutions independently of the choice of the controller structure. The method is applied for fuzzy control of a thermal process.read more
Citations
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Tuning of Type-2 Fuzzy Systems by Simulated A nnealing to Predict Time Series
Majid Almaraashi,Robert John +1 more
TL;DR: A combination of interval type-2 fuzzy system (IT2FS) models and simulated annealing are used to predict the Mackey-Glass time series by searching for the best configuration of the IT2FS.
Proceedings ArticleDOI
Time series forecasting using a TSK fuzzy system tuned with simulated annealing
TL;DR: A combination of a Takagi-Sugeno fuzzy system (TSK) and simulated annealing is used to predict well known time series by searching for the best configuration of the fuzzy system.
Journal ArticleDOI
Context-Dependent Fuzzy Systems With Application to Time-Series Prediction
TL;DR: The proposed system is evaluated using the well-known Mackey-Glass time-series prediction benchmark dataset and has shown better accuracy than any other previous works concerning the same problem.
Journal ArticleDOI
Short-term prediction of solar energy in Saudi Arabia using automated-design fuzzy logic systems
TL;DR: Work aimed at designing reliable models to predict the global horizontal irradiance (GHI) for the next day in 8 stations in Saudi Arabia using previous-day meteorological and solar radiation observations is presented.
Proceedings Article
Fuzzy supervisory PI controller using hierarchical genetic algorithms
K. Worapradya,S. Pratishthananda +1 more
TL;DR: A fuzzy supervisory PI controller is designed and simulated on a heat exchanger system using a hierarchical genetic algorithm (HGA) which is an optimization algorithm used in defining the optimal number and shape of membership functions, and fuzzy rules.
References
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Journal ArticleDOI
Fuzzy logic in control systems: fuzzy logic controller. II
TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
Journal Article
Fuzzy logic in control systems : fuzzy logic controller. Part II
TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
Journal ArticleDOI
Application of fuzzy algorithms for control of simple dynamic plant
TL;DR: In this article, the authors describe a scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.
Journal ArticleDOI
Neuro-fuzzy modeling and control
TL;DR: The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models, which possess certain advantages over neural networks.
Journal ArticleDOI
Fuzzy logic systems for engineering: a tutorial
TL;DR: After synthesizing a FLS, it is demonstrated that it can be expressed mathematically as a linear combination of fuzzy basis functions, and is a nonlinear universal function approximator, a property that it shares with feedforward neural networks.