Search results for "automatic"

showing 10 items of 730 documents

Dissensus, death and division

2009

The modeling of switching systems describing networks where death and duplication processes occur is described. A dissensus protocol, complementary to consensus protocol, is introduced and the convergence or divergence of the agents' state evolution is studied. We discuss some properties of the topology reached by the network when different rules of duplication and inheritance are implemented.

Impulsive networksHybrid systemsComputer scienceDistributed computingconsnesus problemsSwitching systemsDivision (mathematics)biological modelDivergence (computer science)Consensus protocolsInheritance (object-oriented programming)Settore ING-INF/04 - Automaticaconsnesus problems biological model networksnetworksConvergence (routing)Settore MAT/09 - Ricerca OperativaProtocol (object-oriented programming)Biological models; Consensus protocols; Hybrid systems; Impul-sive networks; Switching systems;Biological models; Consensus protocols; Hybrid systems; Impulsive networks; Switching systemsBiological models2009 American Control Conference
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Online Estimation of the Mechanical Parameters of an Induction Machine Using Speed Loop characteristics and Recursive Least Square Technique

2022

This paper presents a novel approach for estimation of mechanical parameters, inertia and friction coefficient of an Induction Machine (IM) using speed loop characteristics and Recursive Least Square (RLS) estimator. Using the 5th order dynamic equation for Induction Machine and the forgetting factor based RLS algorithm the technique herein proposed employs the speed of the machine and the torque as the inputs for the estimator. Results obtained compares the estimated parameters with the actual parameters under multiple step varying and exponentially varying scenarios. Upon analyzing the results, the validity and the effectiveness of the proposed identification technique is confirmed

Induction Machine Field-Oriented Control Recursive Least Squares (RLS) Online Estimation Inertia Friction coefficient.Settore ING-INF/04 - Automatica
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Enhancing Speed Loop PI Controllers with Adaptive Feed-forward Neural Networks: Application to Induction Motor Drives

2022

This paper proposes the idea to improve the performance of the speed loop PI controller by using feed-forward and adaptive control actions. Indeed, when the system to be controlled is required to track a rapidly changing reference frame, higher bandwidth is usually required, making the system more sensitive to noise and consequently less robust. In such cases, to achieve a better performance in reference tracking while keeping noise rejection capacity, one idea is to use a feed-forward controller, employed to enhance the required tracking, leaving the feedback action to stabilize the system and suppress higher frequency disturbance. As such, this paper analysis the classical PI based field …

Induction machine Field-oriented control Feed-Forward Artificial Neural Network Recursive Least Square Estimator Speed LoopSettore ING-INF/04 - Automatica
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Extended complex Kalman filter for sensorless control of an induction motor

2014

Abstract This paper deals with the design of an extended complex Kalman filter (ECKF) for estimating the state of an induction motor (IM) model, and for sensorless control of systems employing this type of motor as an actuator. A complex-valued model is adopted that simultaneously allows a simpler observability analysis of the system and a more effective state estimation. The observability analysis of this model is first performed by assuming that a third order ECKF has to be designed, by neglecting the mechanical equation of the IM model, which is a valid hypothesis when the motor is operated at constant rotor speed. It is shown that this analysis is more effective and easier than the one …

Induction motor Observability Kalman filtering Complex-valued modelEngineeringStatorbusiness.industryApplied MathematicsComputationControl engineeringKalman filterComputer Science Applicationslaw.inventionMatrix (mathematics)Settore ING-INF/04 - AutomaticaControl and Systems EngineeringlawControl theoryObservabilityElectrical and Electronic EngineeringbusinessMATLABActuatorcomputerInduction motorcomputer.programming_languageControl Engineering Practice
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Inductive synthesis of term rewriting systems

2005

Fast algorithm for inductive synthesis of term rewriting systems is described and proved to be correct. It is implemented and successfully applied for inductive synthesis of different algorithms, including the binary multiplication. The algorithm proposed supports automatic learning process and can be used for designing and implementation of ADT.

Inductive synthesisTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer scienceBinary multiplicationProcess (computing)RewritingAutomatic learningAbstract data typeAlgorithmFast algorithmTerm (time)
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INVESTIGATIONS ON INFILTRATION METHODS FOR AN IMPROVED SOIL HYDRAULIC CHARACTERIZATION

2020

Infiltration soil hydraulic properties saturated soil hydraulic conductivity surface hydrological processes BEST procedure for soil hydraulic characterization two-stage methodology height of water pouring effects soil sealing rainfall simulation beerkan infiltration experiment BEST algorithms laboratory investigation falling-head one dimensional infiltration simplified falling-head technique automatic infiltrometer Arduino parameterization of model for single-ring infiltration monitoring saturated hydraulic conductivity
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Performance and energy optimisation in CPUs through fuzzy knowledge representation

2019

Abstract This paper presents an automatic design space exploration using processor design knowledge for the multi-objective optimisation of a superscalar microarchitecture enhanced with selective load value prediction (SLVP). We introduced new important SLVP parameters and determined their influence regarding performance, energy consumption, and thermal dissipation. We significantly enlarged initial processor design knowledge expressed through fuzzy rules and we analysed its role in the process of automatic design space exploration. The proposed fuzzy rules improve the diversity and quality of solutions, and the convergence speed of the design space exploration process. Experiments show tha…

Information Systems and ManagementComputer scienceDesign space exploration02 engineering and technologyFuzzy logicMulti-objective optimizationTheoretical Computer ScienceProcessor design knowledgeArtificial IntelligenceEnergy savingSuperscalar0202 electrical engineering electronic engineering information engineeringAutomatic design space exploration Processor design knowledge Superscalar microarchitecture Dynamic value prediction Energy savingProcessor design05 social sciencesProcess (computing)050301 educationEnergy consumptionComputer Science ApplicationsMicroarchitectureComputer engineeringControl and Systems EngineeringDynamic value prediction020201 artificial intelligence & image processingAutomatic design space exploration; Processor design knowledge; Superscalar microarchitecture; Dynamic value prediction; Energy savingSuperscalar microarchitecture0503 educationAutomatic design space explorationSoftwareEnergy (signal processing)Information Sciences
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<title>Combining multiple image descriptions for browsing and retrieval</title>

2000

Retrieving images form large collections using image content is an important problem, in this multimedia age. A quick content-based visual access to the stored image is capital for efficient navigation through image collections. In this paper we introduce several techniques which characterize color homogeneous object and their spatial relationships for efficient content-based image retrieval. We present a region growing technique for efficient color homogeneous objects segmentation and extend the 2D string to an accurate description of spatial information and relationships. In order to improve content-based image retrieval, our method emphasized several objectives, such as: automated extrac…

Information retrievalComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContent-based image retrievalAutomatic image annotationImage textureRegion growingHuman–computer information retrievalComputer visionSegmentationVisual WordArtificial intelligencebusinessImage retrievalFeature detection (computer vision)SPIE Proceedings
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Automatic building of a visual interface for content-based multiresolution retrieval of paleontology images

2001

In this article we present research work in the field of content-based image retrieval in large databases applied to the paleontology image database of the Universite´ de Bourgogne, Dijon, France, called ‘‘TRANS’TYFIPAL.’’ Our indexing method is based on multiresolution decomposition of database images using wavelets. For each family of paleontology images we try to find a model image that represents it. The K-means automatic classification algorithm divides the space of parameters into several clusters. A model image for each cluster is computed from the wavelet transform of each image of the cluster. Then a search tree is built to offer users a graphic interface for retrieving images. So …

Information retrievalContextual image classificationComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsImage processing02 engineering and technologyContent-based image retrievalAtomic and Molecular Physics and OpticsSearch treeComputer Science ApplicationsPaleontologyAutomatic image annotation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionVisual WordArtificial intelligenceElectrical and Electronic EngineeringbusinessImage retrievalComputingMilieux_MISCELLANEOUS
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Input-output feedback linearizing control of linear induction motor taking into consideration the end-effects. Part I: Theoretical analysis

2015

Abstract This first part of a paper, divided into two parts, deals with the theoretical formulation of the input–output feedback linearization (FL) control technique as to be applied to linear induction motors (LIMs). Linear induction motors, differently from rotating induction motors (RIMs), present other strong non-linearities caused by the so-called dynamic end effects, leading to a space-vector model with time-varying inductance and resistance terms and an additional braking force term. This paper, starting from a dynamic model of the LIM taking into consideration its dynamic end effects, previously developed by the same authors, defines a feedback linearization (FL) technique suited fo…

Input/outputEngineeringCorrectnessbusiness.industryApplied MathematicsControl engineeringEnd-effectsComputer Science ApplicationsTerm (time)Set (abstract data type)InductanceLinear Induction Motor (LIM) feedback linearization end-effectsSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryLinear induction motorFeedback linearizationLinear induction motor (LIM)Feedback linearizationElectrical and Electronic EngineeringbusinessInduction motor
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