Search results for "Fuzzy logi"

showing 10 items of 471 documents

Approximation-Based Adaptive Fuzzy Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Time-Delay Systems

2015

This paper focuses on the problem of approximation-based adaptive fuzzy tracking control for a class of stochastic nonlinear time-delay systems with a nonstrict-feedback structure. A variable separation approach is introduced to overcome the design difficulty from the nonstrict-feedback structure. Mamdani-type fuzzy logic systems are utilized to model the unknown nonlinear functions in the process of controller design, and an adaptive fuzzy tracking controller is systematically designed by using a backstepping technique. It is shown that the proposed controller guarantees that all signals in the closed-loop system are fourth-moment semiglobally uniformly ultimately bounded, and the tracking…

Mathematical optimizationStochastic processApplied MathematicsFuzzy logicTracking errorNonlinear systemComputational Theory and MathematicsArtificial IntelligenceControl and Systems EngineeringControl theoryBacksteppingAdaptive systemBounded functionMathematicsIEEE Transactions on Fuzzy Systems
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Design of robust observer for T-S fuzzy time-delayed systems subject to unknown inputs

2013

In this paper, a novel approach is proposed to design a robust observer for a class of Takagi-Sugeno (T-S) fuzzy models with unknown inputs and delays. The main contribution of this paper is to consider unknown inputs and a mixed neutral and discrete delay in the model. Also, the system is subject to disturbances, which are imposed on both state and output signals. Delay-dependent sufficient conditions for the design of an unknown input T-S observer with time delays are given in terms of linear matrix inequalities (LMIs). Some relaxations are introduced by using intermediate variables. A numerical example is given to illustrate the effectiveness of the given results.

Mathematical optimizationTime delaysTime delayedObserver (quantum physics)Control theoryComputer scienceSubject (grammar)Fuzzy control systemState (computer science)Linear matrixFuzzy logic2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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Evolving non-dominated solutions in multiobjective service restoration for automated distribution networks

2001

Abstract The problem here dealt with is that of Service Restoration (SR) in automated distribution networks. In such networks, configuration and compensation level as well as loads insertion status can be remotely controlled. The considered SR problem should be handled using Multiobjective Optimization, MO, techniques since its solution requires a compromise between different criteria. In the adopted formulation, these criteria are the supply of the highest number of loads and the minimum power losses. The Authors propose a new MO approach, the Non-dominated Sorting Fuzzy Evolution Strategy, NS_FES, which uses part of the Non-dominated Sorting Genetic Algorithm, NSGA, proposed by K. Deb. Th…

Mathematical optimizationeducation.field_of_studyEngineeringDistribution networksbusiness.industryPopulationEnergy Engineering and Power TechnologyService restorationMulti-objective optimizationFuzzy logicElectrical and Electronic EngineeringEvolution strategyeducationbusinessElectric Power Systems Research
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Optimal Placement of Pressure Sensors Using Fuzzy DEMATEL-Based Sensor Influence

2020

[EN] Nowadays, optimal sensor placement (OSP) for leakage detection in water distribution networks is a lively field of research, and a challenge for water utilities in terms of network control, management, and maintenance. How many sensors to install and where to install them are crucial decisions to make for those utilities to reach a trade-off between efficiency and economy. In this paper, we address the where-to-install-them part of the OSP through the following elements: nodes' sensitivity to leakage, uncertainty of information, and redundancy through conditional entropy maximisation. We evaluate relationships among candidate sensors in a network to get a picture of the mutual influenc…

Mathematical optimizationlcsh:Hydraulic engineeringDistribution networksoptimal sensor placementComputer scienceEntropyleakageGeography Planning and Development09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovación0207 environmental engineeringDEMATEL02 engineering and technologyAquatic ScienceBiochemistryFuzzy logiclcsh:Water supply for domestic and industrial purposesSensitivityMulti-criteria decision-makingFuzzy dematellcsh:TC1-9780202 electrical engineering electronic engineering information engineeringmulti-criteria decision-makingEntropy (information theory)uncertainty020701 environmental engineeringMutual influenceWater Science and TechnologyConditional entropylcsh:TD201-500Network controlUncertaintyWater distribution networksensitivityPressure sensorOptimal sensor placementwater distribution network020201 artificial intelligence & image processingMATEMATICA APLICADAentropyLeakageWater
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A Fuzzy-Clustering Based Approach for Measuring Similarity Between Melodies

2017

Symbolic melodic similarity aims to evaluate the degree of likeness of two or more sequences of notes. In this work, we propose the use of fuzzy c-means clustering as a tool for the measurement of the similarity between two melodies with a different number of notes. Moreover, we present an algorithm, FOCM, implemented in a computer program written in C\(\sharp \) able to read two melodies from files with MusicXML format and to perform the clustering to calculate the dissimilarity between any two melodies. In addition, for each iteration step in the convergence process of the algorithm, a family of intermediate states (transition melodies) are obtained that can be used as new thematic materi…

MelodyFuzzy clusteringSimilarity (network science)Degree (graph theory)Computer sciencebusiness.industryFeature (machine learning)Pattern recognitionArtificial intelligenceCluster analysisbusinessFuzzy logicComplement (set theory)
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A fuzzy approach to the evaluation of image complexity

2009

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions in order to deal with automatic vision problems, such as feature extraction. Psychologists seem more interested in the temporal dimension of complexity, as a means to explore attentional models. Is it possible to define, by merging both approaches, a more general index of visual complexity? The aim of this paper is the definition of objective measures of image complexity that fits with the so named perceived time. Towards the end we have defined a fuzzy mathematical model of visual…

Mental clockSettore INF/01 - InformaticaLogicbusiness.industryFuzzy setFeature extractionInformation processingComplexityFuzzy control systemFuzzy logicCorrelationComplexity indexFuzzy entropyInternal clockArtificial IntelligenceFuzzy setEntropy (information theory)Image analysiArtificial intelligencebusinessMathematicsFuzzy Sets and Systems
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A 3-D marker-free system for the analysis of movement disabilities--an application to the legs.

2001

The aim of this paper is to describe an approach allowing the analysis of human motion in three-dimensional (3-D) space. The system that we developed is composed of three charge-coupled-device cameras that capture synchronized image sequences of a human body in motion without the use of markers. Characteristic points belonging to the boundaries of the body in motion are first extracted from the initial images. Two-dimensional superquadrics are then adjusted on these points by a fuzzy clustering process. After that, the position of a 3-D model based on a set of articulated superquadrics, each of them describing a part of the human body, is reconstructed. An optical flow process allows the pr…

Motion analysisLegFuzzy clusteringFuzzy classificationComputer sciencebusiness.industryMovementOptical flowGeneral MedicineGaitMotion (physics)Computer Science ApplicationsGait (human)Motion fieldFuzzy LogicGait analysisSuperquadricsHumansComputer visionDisabled PersonsArtificial intelligenceElectrical and Electronic EngineeringbusinessBiotechnologyIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
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Multiple-attribute decision support system based on fuzzy logic for performance assessment

2005

Abstract This paper deals with the problem of assessing the performance of a set of production units, simultaneously considering different kinds of information, yielded by a Data Envelopment Analysis, a qualitative data analysis and an expert assessment. The tool for integrating heterogeneous data is a model that applies fuzzy logic to decision support systems. The results obtained are a holistic performance assessment of each unit of the set and a ranking order of the units.

Multi-attribute decision aiding systemsDecision support systemInformation Systems and ManagementGeneral Computer ScienceComputer sciencemedicine.medical_treatmentDecision treeDecision support systemsManagement Science and Operations Researchcomputer.software_genreFuzzy logicIndustrial and Manufacturing EngineeringDEAmedicineData envelopment analysisExpert evaluationDecision engineeringEvidential reasoning approachIntelligent decision support systemDEA; Decision support systems; Expert evaluation; Fuzzy logic; Multi-attribute decision aiding systemsFuzzy logicModeling and SimulationData miningcomputerDecision analysis cycleDecision analysisEuropean Journal of Operational Research
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Mathematics and Soft Computing in Music

2011

Mathematics is the fundamental tool for dealing with the physical processes that explain music but it is also in the very essence of this art. Musical notes, the first elements which music works with, are defined for each tuning system as very specific frequencies; however, instrumentalists know that small changes in these values do not have serious consequences. In fact, sometimes consensus is only reached if the entire orchestra alters the theoretical pitches. The explanation for this contradiction is that musicians implicitly handle very complex mathematical processes involving some uncertainty in the concepts and this is better explained in terms of fuzzy logic. Modelling the notes as f…

Musical notationCognitive scienceSoft computingmedia_common.quotation_subjectFuzzy setMathematics educationMusical tuningContradictionFuzzy numberFuzzy logicmedia_common
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Compatibility of the Different Tuning Systems in an Orchestra

2009

Focusing on the daily practice of musicians, we give flexibility to the mathematical treatment of musical notes, tuning systems and the relations between them. This allows us to connect the theory and the practice of music. Using the techniques of fuzzy logic, we describe the concepts with fuzzy sets and introduce the α-compatibility as a degree of interchangeability between tuning systems. To show how our proposal works, we use a fragment of Haydn and analyze the compatibility of the notes taken from 48 recordings for the tuning systems of Pythagoras, Zarlino and Equal Temperament of 12 notes.

Musical notationComputer sciencebusiness.industryDaily practiceCompatibility (mechanics)Fuzzy setEqual temperamentFuzzy numberArtificial intelligencebusinessFuzzy logicInterchangeability
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