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Active and reactive power flow fuzzy controller for VSC HVDC using DBR and DBR type 2

Active and reactive power flow fuzzy controller for VSC HVDC...

引用

IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： H. R Chamorro N.L. Diaz J.J Soriano H.E Espitia Alternative Energy Sources Research Laboratory (LIFAE) Alternative Energy Sources Research Laboratory (LIFAE) Colombia Laboratory of Automation Microelectronics and Computational Intelligence (LAMIC) Ingeniería Electrónica Facultad de Ingeniera Universidad Distrital Bogota Bogota Colombia

This document proposes a new defuzzfication methodology known as DBR (Defuzzification based on Boolean Relations), which is applied in this case, to a VSC HVDC system in order to control the active and reactive power flow. First, a brief dynamic study is presented in order to show the nonlinearities and the work operation range, next, is justified the theory application system of DBR and DBR type 2. These two methods are compared with a typical fuzzy logic controller in simulation and in a hardware power electronics prototype to verify the reliability of the controllers. Some performance indexes are evaluated in the time response of the system.

关键词： Distributed Bragg reflectors Reactive power Power conversion Fuzzy logic HVDC transmission Actuators

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Solving fuzzy linear programming problems with Interval Type-2 RHS

Solving fuzzy linear programming problems with Interval Type...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Juan Carlos Figueroa García Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrital Francisco José de Caldas Bogota Colombia

This paper presents two general methods to handle uncertainties in the right hand side parameters of a linear programming (LP) model by means of interval type-2 fuzzy sets (IT2 FS). In this paper, a LP problem with uncertain right side parameters treated as interval type-2 fuzzy sets is solved by two optimization strategies: The first one is a type-reduction method and the second one is a pre-defuzzified ¿ - cut approach. After the IT2 FS inference process, a real-valued solution must be found. In this way two methods based on classical optimization routines are presented to obtain optimal solutions when uncertain right hand side parameters exist.

关键词： Linear programming Fuzzy sets Uncertainty Optimization methods Equations Linear matrix inequalities Vectors Optimized production technology Cybernetics USA Councils

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An evolutive Interval Type-2 TSK Fuzzy Logic System for volatile time series identification

An evolutive Interval Type-2 TSK Fuzzy Logic System for vola...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Juan Carlos Figueroa García Laboratory for Automation Microelectronics and Computational Intelligence (LAMIC) Universidad Distrital Francisco José de Caldas Bogota Colombia

This paper presents a study case of the US Dollar -Colombian Peso Exchange Rate by using a First-order Interval Type-2 TSK Fuzzy Logic System. This study case is specially interesting because it presents a volatile behavior which is a complex problem for classical analysis. Their results are checked by statistical tests as Bayesian, Akaike, Hannan-Quin criteria, Goldfeld-Quant, Ljung-Box, ARCH, Runs and Turning Points which provide appropriate criterions to test the solution. Some methodological aspects about a hybrid implementation between Evolutive Optimization and First order Interval Type-2 TSK FLS are presented. Additionally, the selected type-reduction algorithm is the IASCO algorithm proposedby Melgarejo in since it presents better properties than other algorithms.

关键词： Fuzzy logic Testing Exchange rates computational intelligence Economic forecasting Inference algorithms Cybernetics USA Councils Laboratories automation

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An Interval Type-2 Fuzzy Logic System to test statistical hypothesis on means.

An Interval Type-2 Fuzzy Logic System to test statistical hy...

引用

Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Juan Carlos Figueroa Garcia Daniel Rodriguez Alejandro Sierra Laboratory for Automation Microelectronics and Computational Intelligence (LAMIC) and Mathematical Modeling Applied to Industry (MMAI) Members Universidad Distrital Francisco José de Caldas Bogota Colombia

This paper presents a general inference engine based on interval type-2 fuzzy logic systems (IT2 FLS) to contrast statistical hypothesis on means. Fuzzy statistics is an useful approach which offers new answers for imprecise and uncertain statistical problems. In this way, we propose an extension of the Type-1 FLS reported by Figueroa and Soriano to an Interval type-2 FLS for involving uncertainty in the definition of the FLS. The proposed inference engine attempts to use uncertain hypothesis tests to obtain a fulfilment degree of Ho and after using the IASCO type reduction algorithm, we obtain a crisp information criteria about the hypothesis being tested, useful for many analysts who need to get information about samples.

关键词： Fuzzy logic Logic testing System testing Engines Statistical analysis Fuzzy sets Uncertainty Probability Bayesian methods Fuzzy systems

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Performance evaluation of fuzzy operators for FPGA technology

Performance evaluation of fuzzy operators for FPGA technolog...

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2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008

作者： Iregui, S. Linares, D. Melgarejo, M. Laboratory for Automation Microelectronics and Computational Intelligence Faculty of Engineering Universidad Distrital FJC Bogotá D.C. Colombia

ISBN: (纸本)9781424423521

This article presents the study of some adders and multipliers using conventional and nonconventional arithmetic, in order to carry out the implementation of fuzzy operators in the inference stage of a Fuzzy Logic Processor. Then, an online arithmetic architecture and a parallel architecture are proposed for the fuzzy operators of an inference engine, based on the arithmetic operators with better performance over Field Programmable Gate Array (FPGA) technology. Finally, the implementation of the fuzzy operators and its performance evaluation in terms of operation frequency and occupied area over FPGA technology are carried out. ©2008 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Implementing a Simple Microcontroller-Based Interval Type-2 Fuzzy Processor

Implementing a Simple Microcontroller-Based Interval Type-2 ...

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51st Midwest Symposium on Circuits and Systems (MWSCAS 2008), vol.1

作者： Jefrey Bulla Gina Sierra Miguel Melgarejo Laboratory for Automation Microelectronics and Computational IntelligenceFaculty of Engineering Universidad Distrital FJDC Bogota Colombia

this paper presents some methodological aspects for implementing an interval type-2 fuzzy logic processor over a microcontroller. Besides, it describes a simple implementation over a low cost commercial platform. Although implementation results show that the developed processor demands reasonable hardware resources of the microcontroller, its field of application would be limited to low frequency applications.

关键词： Microcontrollers Random access memory Engines Hardware computational modeling Fuzzy logic Fuzzy systems

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Performance evaluation of fuzzy operators for FPGA technology

Performance evaluation of fuzzy operators for FPGA technolog...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Iregui D. Linares M. Melgarejo Laboratory for Automation Microelectronics and Computational Intelligence Faculty of Engineering Universidad Distrital FJDC Bogota Colombia

This article presents the study of some adders and multipliers using conventional and nonconventional arithmetic, in order to carry out the implementation of fuzzy operators in the inference stage of a fuzzy logic processor. Then, an online arithmetic architecture and a parallel architecture are proposed for the fuzzy operators of an inference engine, based on the arithmetic operators with better performance over field programmable gate array (FPGA) technology. Finally, the implementation of the fuzzy operators and its performance evaluation in terms of operation frequency and occupied area over FPGA technology are carried out.

关键词： Field programmable gate arrays Arithmetic Adders Fuzzy logic Engines Frequency Hardware Computer architecture Laboratories automation

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Improved iterative algorithm for computing the generalized centroid of an interval type-2 fuzzy set

Improved iterative algorithm for computing the generalized c...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： K. Duran H. Bernal M. Melgarejo Department of electronics engineering Universidad Distrital FJDC Bogota Colombia Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrial FJC Bogota Colombia

This paper presents an improved iterative algorithm for computing the generalized centroid of an interval type-2 fuzzy set. The properties of the discrete centroid function provide a stop condition that speeds up the original algorithm. Experimental evidence observed from three cases of study reveals that the improved algorithm is faster than the enhanced Karnik-Mendel algorithm when running over a common computing platform.

关键词： Iterative algorithms Fuzzy sets Switches Fuzzy logic Laboratories automation microelectronics computational intelligence Fuzzy systems Arithmetic

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Linear programming with Interval Type-2 Fuzzy Right Hand Side parameters

Linear programming with Interval Type-2 Fuzzy Right Hand Sid...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Juan Carlos Figueroa Garcia Laboratory for Automation Microelectronics and Computational Intelligence (LAMIC) and Mathematical Modeling Applied to Industry (MMAI) Universidad Distrital Francisco José de Caldas Bogota Colombia

This paper presents a general method to handle uncertainty to the right hand side parameters of a linear programming (LP) model by means of Interval type-2 fuzzy sets (IT2 FS) and trapezoidal membership functions. Fuzzy linear programming (FLP) is a recent approach used on many situations where its optimal solution is provided by classical techniques as Simplex and Karmarkar algorithms. In this proposal, a LP problem with uncertain Right Side parameters treated as interval type-2 fuzzy sets is solved by two optimization strategies. After the IT2 FS inference process, a real-valued solution should be found. In this way two methods are proposed to obtain optimal solutions when uncertain right hand side parameters exist, based on an alpha-cut optimality criterion.

关键词： Linear programming Fuzzy sets Uncertainty Equations Linear matrix inequalities Vectors Optimized production technology Laboratories automation microelectronics

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Linear Programming with fuzzy joint parameters: A Cumulative Membership Function approach

Linear Programming with fuzzy joint parameters: A Cumulative...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Juan Carlos Figueroa Garcia Cesar Amilcar Lopez Bello Laboratory for Automation Microelectronics and Computational Intelligence (LAMIC) Colombia Mathematical Modelling Applied to Industry (MMAI) Member. Universidad Distrital Francisco José de Caldas Bogota Colombia

This paper shows an alternative methodology to find optimal solutions of a linear programming problem defined in a fuzzy environment. The classical fuzzy linear programming (FLP) problem is treated by using fuzzy restrictions in the form Ax les bbreve where indicates a type-1 fuzzy set (Tl FS). The proposed approach uses joint Abreve and bbreve fuzzy parameters to solve a linear programming model under uncertainty conditions. Triangular fuzzy sets are used to reduce the computational complexity of the model, however other types of fuzzy sets can be used. A cumulative membership function (CMF) approach is defined, some optimality conditions are discussed and a new theorem is proved. Finally a small example is provided.

关键词： Linear programming Fuzzy sets Information analysis Mathematical model Uncertainty Decision making Stochastic processes Fuzzy logic Laboratories automation

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