Search results for "Wave"

showing 10 items of 6009 documents

Adaptive Robot Control – An Experimental Comparison

2012

This paper deals with experimental comparison between stable adaptive controllers of robotic manipulators based on Model Based Adaptive, Neural Network and Wavelet -Based control. The above control methods were compared with each other in terms of computational efficiency, need for accurate mathematical model of the manipulator and tracking performances. An original management algorithm of the Wavelet Network control scheme has been designed, with the aim of constructing the net automatically during the trajectory tracking, without the need to tune it to the trajectory itself. Experimental tests, carried out on a planar two link manipulator, show that the Wavelet-Based control scheme, with…

0209 industrial biotechnologyArtificial neural networkComputer sciencelcsh:ElectronicsRobot manipulatorlcsh:TK7800-8360Control engineering02 engineering and technologylcsh:QA75.5-76.95Computer Science ApplicationsRobot control020901 industrial engineering & automationWaveletSettore ING-INF/04 - AutomaticaArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceSoftwareSimulationRobot control Model‐Based Adaptive control Wavelet based controlInternational Journal of Advanced Robotic Systems
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Image Enhancement Algorithm for Optical Microstructural Characterization of Shape Memory TiNi Friction Stir Processed

2017

Abstract A key topic regarding TiNi alloys concerns the possibility to attain junctions that preserve the shape memory properties of material. Experimental tests, previously performed on TiNi sheet friction stir processed, have highlighted the need to develop an appropriate image analysis method to quantify the various phases percentages present in the characteristics zones of Friction Stir Welding process. A proper Image Processing procedure has been performed in order to quantify the amount of the martensitic phase and to detect its morphology modification along to the processed region. Particularly each micrographic image, firstly, has been denoised using the 2D Wavelet transform techniq…

0209 industrial biotechnologyFriction stir processingMaterials scienceWavelet transformImage processing02 engineering and technologyGeneral MedicineShape-memory alloyImage enhancement shape memory alloy friction stir processingHaar wavelet020901 industrial engineering & automationWavelet0202 electrical engineering electronic engineering information engineeringFriction stir welding020201 artificial intelligence & image processingAdaptive histogram equalizationAlgorithmProcedia Engineering
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Design of parallel compensator and stabilizing controller to mitigate non-minimum phase behaviour of the Czochralski Process

2020

Abstract This paper addresses the design of a parallel compensator and a stabilizing controller for the simplified crystal growth dynamics of the Czochralski (CZ) process, i.e., the process for the production of monocrystalline silicon ingots of uniform diameter. The diameter control of the produced ingots is achieved by a CCD camera measurement used to sense the radius of the boundary between the base of the growing crystal and the surrounding glowing meniscus — a raised melt surface connecting the crystal ingot with the flatter melt surface. Due to the intrinsic nature of the process, the bright ring radius measurement signal exhibits a non-minimum phase behaviour. A combination of the pa…

0209 industrial biotechnologyMaterials science020208 electrical & electronic engineeringPhase (waves)Crystal growth02 engineering and technologyMechanicsRadiuslaw.inventionMonocrystalline siliconCrystal020901 industrial engineering & automationControl and Systems Engineeringlaw0202 electrical engineering electronic engineering information engineeringMeniscusIngotCzochralski processIFAC-PapersOnLine
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An algebraic continuous time parameter estimation for a sum of sinusoidal waveform signals

2016

In this paper, a novel algebraic method is proposed to estimate amplitudes, frequencies, and phases of a biased and noisy sum of complex exponential sinusoidal signals. The resulting parameter estimates are given by original closed formulas, constructed as integrals acting as time-varying filters of the noisy measured signal. The proposed algebraic method provides faster and more robust results, compared with usual procedures. Some computer simulations illustrate the efficiency of our method. Copyright © 2016 John Wiley & Sons, Ltd.

0209 industrial biotechnologyMathematical optimizationNoise (signal processing)020206 networking & telecommunications02 engineering and technologySignalsymbols.namesake020901 industrial engineering & automationAmplitudeSine waveControl and Systems EngineeringSinusoidal waveformSignal Processing0202 electrical engineering electronic engineering information engineeringEuler's formulasymbolsApplied mathematicsDifferential algebraElectrical and Electronic EngineeringAlgebraic numberMathematicsInternational Journal of Adaptive Control and Signal Processing
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An algebraic approach for human posture estimation in the sagittal plane using accelerometer noisy signal

2012

International audience; Our aim is to develop an algebraic approach to estimate human posture in the sagittal plane using Inertial Measurement Unit (IMU) providing accelerations and angular velocities. To do it so, we address the issue of the estimation of the amplitude, frequency and phase of a biased and noisy sum of three sinusoidal waveform signals on a moving time horizon. Since the length of the time window is small, the estimation must be done within a fraction of the signal's period. The problem is solved via algebraic techniques (see [38] for the theoretical part concerning this problem). The efficiency of our approach is illustrated by computer simulations.

0209 industrial biotechnologySignal processingComputer sciencePhase (waves)02 engineering and technologyMotion controlAccelerometerSignalSagittal plane03 medical and health sciences020901 industrial engineering & automation0302 clinical medicineAmplitudemedicine.anatomical_structureInertial measurement unitControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineeringmedicine030217 neurology & neurosurgery
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On the complete interface development of Al/Cu magnetic pulse welding via experimental characterizations and multiphysics numerical simulations

2021

Abstract A complex Al/Cu magnetic pulse welding interface is systematically investigated using experimental characterizations and numerical simulations. A Coupled electromagnetic-mechanical simulation is proposed to compute the impact velocity and impact angle along the entire interface. This model allows to further understand the formation mechanism of various interface characteristics during MPW. The results revealed that the impact velocity gradually decreases in conjunction with the gradual increase of the impact angle. These simulations elucidate the experimentally observed successive interface morphologies, i.e., the unwelded zone, vortex zone, intermediate (IM) layers and wavy interf…

0209 industrial biotechnologyVoid (astronomy)Materials scienceMultiphysicsFOS: Physical sciences02 engineering and technologyWeldingApplied Physics (physics.app-ph)Industrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automation0203 mechanical engineeringlawModelling and SimulationCondensed Matter - Materials ScienceDeformation (mechanics)Metals and AlloysMaterials Science (cond-mat.mtrl-sci)Physics - Applied PhysicsMechanicsVortexComputer Science ApplicationsWavelength020303 mechanical engineering & transportsAmplitudeMagnetic pulse weldingModeling and SimulationCeramics and Composites
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Algebraic parameter estimation of a multi-sinusoidal waveform signal from noisy data

2013

International audience; In this paper, we apply an algebraic method to estimate the amplitudes, phases and frequencies of a biased and noisy sum of complex exponential sinusoidal signals. Let us stress that the obtained estimates are integrals of the noisy measured signal: these integrals act as time-varying filters. Compared to usual approaches, our algebraic method provides a more robust estimation of these parameters within a fraction of the signal's period. We provide some computer simulations to demonstrate the efficiency of our method.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringFraction (mathematics)Algebraic numberNoisy data[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsEstimation theory020206 networking & telecommunicationsAmplitudeSinusoidal waveformEuler's formulasymbols[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data

2012

International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingPhase (waves)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringElectronic engineeringFraction (mathematics)Differential algebraAlgebraic numberMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingEstimation theory020206 networking & telecommunicationsAmplitudeEuler's formulasymbols[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithm[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
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Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

2019

International audience; Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the prop…

0209 industrial biotechnologytarget detectingComputer scienceprincipal component analysisAmbient noise levelImage processing02 engineering and technologypassive detectionTracking (particle physics)01 natural sciencesBiochemistrySonarSignaldirection of arrivalArticleAnalytical Chemistry[SPI]Engineering Sciences [physics]020901 industrial engineering & automation[CHIM]Chemical SciencesComputer visionElectrical and Electronic EngineeringInstrumentationSound wave0105 earth and related environmental sciencestemplate matching010505 oceanographybusiness.industryTemplate matchingDirection of arrivalAtomic and Molecular Physics and Opticsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsAzimuthArtificial intelligencebusinesstarget tracking
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The minimum mean cycle-canceling algorithm for linear programs

2022

Abstract This paper presents the properties of the minimum mean cycle-canceling algorithm for solving linear programming models. Originally designed for solving network flow problems for which it runs in strongly polynomial time, most of its properties are preserved. This is at the price of adapting the fundamental decomposition theorem of a network flow solution together with various definitions: that of a cycle and the way to calculate its cost, the residual problem, and the improvement factor at the end of a phase. We also use the primal and dual necessary and sufficient optimality conditions stated on the residual problem for establishing the pricing step giving its name to the algorith…

021103 operations researchInformation Systems and ManagementGeneral Computer ScienceLinear programmingDegenerate energy levels0211 other engineering and technologiesPhase (waves)0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchResidualFlow network01 natural sciencesIndustrial and Manufacturing EngineeringDual (category theory)010201 computation theory & mathematicsModeling and SimulationCoefficient matrixRowAlgorithmMathematicsEuropean Journal of Operational Research
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