Search results for "TRACK"

showing 10 items of 975 documents

The Influence of Solar Power Plants on Microclimatic Conditions and the Biotic Community in Chilean Desert Environments

2016

The renewable energy sector is growing at a rapid pace in northern Chile and the solar energy potential is one of the best worldwide. Therefore, many types of solar power plant facilities are being built to take advantage of this renewable energy resource. Solar energy is considered a clean source of energy, but there are potential environmental effects of solar technology, such as landscape fragmentation, extinction of local biota, microclimate changes, among others. To be able to minimize environmental impacts of solar power plants, it is important to know what kind of environmental conditions solar power plants create. This study provides information about abiotic and biotic conditions i…

0106 biological sciencespienilmastoPower stationphotovoltaic power plant020209 energyMicroclimateConservation of Energy Resources02 engineering and technology01 natural sciencesSolar trackerEnvironmental protectionarthropod species compositionthe Atacama desertSolar Energy0202 electrical engineering electronic engineering information engineeringAnimalsChileArthropodsSolar powerGlobal and Planetary ChangeEcologyEcologybusiness.industry010604 marine biology & hydrobiologyPhotovoltaic systemTemperatureBiotaBiodiversityMicroclimateSolar energyBiotaPollutionRenewable energyEnvironmental sciencebusinessenvironmental effectPower Plants
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Genetic variation in the behavioural mechanisms involved in the response of the egg parasitoid Trissolcus brochymenae to contact chemical cues left b…

2021

International audience; 1. The ability of parasitoid females to perceive chemical traces left by theirhosts is of utmost importance in the host location process. The behaviours involved insuch ability have thus most likely been promoted by natural selection in the course ofthe evolutionary time. For this to happen, however, there must be signicant geneticvariation in natural populations on which natural selection could act.2. Using the isofemale line method and motion analysis, we detected signicantintra-population genetic variation for several walking behaviour traits of the eggparasitoid Trissolcus brochymenae (Hymenoptera: Scelionidae) females responding tochemical traces left by its h…

0106 biological sciencesresponse tokairomoneinsect egg parasitoidisofemale linewalking behaviour.ZoologyHymenopteravideo tracking010603 evolutionary biology01 natural sciencesParasitoidresponse to kairomonewalking behaviourinsect egg parasitoidsGenetic variationScelionidaeNatural selectionEcologybiologyHost (biology)[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]HeteropteraPentatomidaebiology.organism_classificationisofemale lines010602 entomologySettore AGR/11 - Entomologia Generale E ApplicataInsect SciencePEST analysis[SDE.BE]Environmental Sciences/Biodiversity and Ecology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Barrier crossings and winds shape daily travel schedules and speeds of a flight generalist

2021

External factors such as geography and weather strongly affect bird migration influencing daily travel schedules and flight speeds. For strictly thermal-soaring migrants, weather explains most seasonal and regional differences in speed. Flight generalists, which alternate between soaring and flapping flight, are expected to be less dependent on weather, and daily travel schedules are likely to be strongly influenced by geography and internal factors such as sex. We GPS-tracked the migration of 70 lesser kestrels (Falco naumanni) to estimate the relative importance of external factors (wind, geography), internal factors (sex) and season, and the extent to which they explain variation in trav…

0106 biological sciencesspatial distribution home ranges lesser kestrel GPS trackingMultidisciplinarybiologyBehavioural ecologyScienceeducationQSettore BIO/05 - ZoologiaBird migrationRFalco naumanniAnimal migration15. Life on landbiology.organism_classificationGeneralist and specialist species010603 evolutionary biology01 natural sciencesArticle010605 ornithologyGeographyTailwindMedicinePhysical geographyRegional differencesScientific Reports
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Adaptive control of uncertain nonlinear systems with quantized input signal

2018

Abstract This paper proposes new adaptive controllers for uncertain nonlinear systems in the presence of input quantization. The control signal is quantized by a class of sector-bounded quantizers including the uniform quantizer, the logarithmic quantizer and the hysteresis quantizer. To clearly illustrate our approaches, we will start with a class of single-loop nonlinear systems and then extend the results to multi-loop interconnected nonlinear systems. By using backstepping technique, a new adaptive control algorithm is developed by constructing a new compensation method for the effects of the input quantization. A hyperbolic tangent function is introduced in the controller with a new tr…

0209 industrial biotechnologyAdaptive controlComputer scienceQuantization (signal processing)02 engineering and technologyLipschitz continuityHyperbolic tangent functionTracking errorAdaptive ControlNonlinear system020901 industrial engineering & automationBacksteppingControl and Systems EngineeringControl theoryBackstepping:Electrical and electronic engineering [Engineering]0202 electrical engineering electronic engineering information engineeringControl signal020201 artificial intelligence & image processingElectrical and Electronic EngineeringAutomatica
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Adaptive Control of Quantized Uncertain Nonlinear Systems

2017

Abstract This paper proposes a new adaptive controller for uncertain nonlinear systems in presence of quantized input signal and unknown external disturbance. A hysteresis quantizer is incorporated to reduce chattering phenomenon. By proposing a new transformation of the final control signal, using the sector-bound property of the quantizer and introducing a hyperbolic tangent function, the effects from input quantization and external disturbance are effectively compensated and the Lipschitz condition required for the nonlinear functions in the systems is removed. Besides showing global stability, tracking error performance is also established and can be adjusted by tuning certain design pa…

0209 industrial biotechnologyAdaptive controlQuantization (signal processing)02 engineering and technologyLipschitz continuitySignalTracking errorNonlinear system020901 industrial engineering & automationTransformation (function)Control and Systems EngineeringControl theory0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMathematicsIFAC-PapersOnLine
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Towards the Design of Robotic Drivers for Full-Scale Self-Driving Racing Cars

2019

Autonomous vehicles are undergoing a rapid development thanks to advances in perception, planning and control methods and technologies achieved in the last two decades. Moreover, the lowering costs of sensors and computing platforms are attracting industrial entities, empowering the integration and development of innovative solutions for civilian use. Still, the development of autonomous racing cars has been confined mainly to laboratory studies and small to middle scale vehicles. This paper tackles the development of a planning and control framework for an electric full scale autonomous racing car, which is an absolute novelty in the literature, upon which we report our preliminary experim…

0209 industrial biotechnologyAutomotive self-driving car control roboticsbusiness.industryComputer scienceScale (chemistry)Control (management)Automotive industryRobotics02 engineering and technologyTrack (rail transport)Vehicle dynamicsModel predictive control020901 industrial engineering & automationSettore ING-INF/04 - Automatica020204 information systems0202 electrical engineering electronic engineering information engineeringSystems engineeringArtificial intelligencebusiness2019 International Conference on Robotics and Automation (ICRA)
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Adaptive Neural Control of MIMO Nonstrict-Feedback Nonlinear Systems with Time Delay

2016

In this paper, an adaptive neural output-feedback tracking controller is designed for a class of multiple-input and multiple-output nonstrict-feedback nonlinear systems with time delay. The system coefficient and uncertain functions of our considered systems are both unknown. By employing neural networks to approximate the unknown function entries, and constructing a new input-driven filter, a backstepping design method of tracking controller is developed for the systems under consideration. The proposed controller can guarantee that all the signals in the closed-loop systems are ultimately bounded, and the time-varying target signal can be tracked within a small error as well. The main con…

0209 industrial biotechnologyComputer scienceMIMOAdaptive trackingoutput-feedback controller02 engineering and technologyNonlinear controlmultiple-input and multiple-output (MIMO)020901 industrial engineering & automationControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionFilter (signal processing)neural networksComputer Science ApplicationsHuman-Computer InteractionNonlinear systemControl and Systems EngineeringBackstepping020201 artificial intelligence & image processingAdaptive tracking; multiple-input and multiple-output (MIMO); neural networks; output-feedback controller; Control and Systems Engineering; Software; Information Systems; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringSoftwareInformation Systems
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Visual tracking with omnidirectional cameras: an efficient approach

2011

International audience; An effective technique for applying visual tracking algorithms to omni- directional image sequences is presented. The method is based on a spherical image representation which allows taking into account the distortions and nonlinear resolution of omnidirectional images. Experimental results show that both deterministic and probabilistic tracking methods can effectively be adapted in order to robustly track an object with an omnidirectional camera.

0209 industrial biotechnologyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhysics::Optics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyTracking (particle physics)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::RoboticsNonlinear system020901 industrial engineering & automationOmnidirectional cameraComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringEye tracking020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringRepresentation (mathematics)Omnidirectional antennabusiness
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Robust adaptive tracking control of uncertain systems with time-varying input delays

2017

ABSTRACTIn this paper, the problem of robust adaptive tracking control of uncertain systems with time-varying input delays is studied. Under some mild assumptions, a robust adaptive controller is designed by using adaptive backstepping technique such that the system is globally stable and the system output can track a given reference signal. At the same time, a root mean square type of bound is obtained for the tracking error as a function of design parameters and thus can be adjusted. Finally, one numerical example is given to show the effectiveness of the proposed scheme.

0209 industrial biotechnologyControl and OptimizationAdaptive controlComputer scienceControl (management)Uncertain systems02 engineering and technologyFunction (mathematics)SignalComputer Science ApplicationsTheoretical Computer ScienceHuman-Computer InteractionTracking errorRoot mean square020901 industrial engineering & automationControl and Systems EngineeringControl theoryBackstepping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringAdaptive trackingRobust controlInternational Journal of Systems Science
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An adaptive multi-rate system for visual tracking in augmented reality applications

2016

The visual tracking of an object is a well-known problem, and it involves many fields of applications. Often a single sensor, the camera, could not provide enough information in order to track the whole object trajectory due to a low updating rate; therefore a multi-sensor system, based also on inertial measurements, could be necessary to improve the tracking accuracy. This leads to the fundamental question: how can information from different sensors be combined when they work at different rates? In this paper an approach based on recursive parameter estimation focusing on multi-rate situations is suggested. The problem is here formulated as the state-of-the-art problem of the visual tracki…

0209 industrial biotechnologyEngineering02 engineering and technologyAugmented reality01 natural sciences010305 fluids & plasmas020901 industrial engineering & automationSettore ING-INF/04 - Automatica0103 physical sciencesParameter estimationComputer visionMulti-rateVisual trackingbusiness.industryTracking systemKalman filterData fusionObject (computer science)Object detectionMulti-sensorVideo trackingTrajectoryEye trackingAugmented realityArtificial intelligencebusinessMEMS inertial sensor
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