Search results for "ALMA"

showing 10 items of 265 documents

Counterexamples to the Kalman Conjectures

2018

In the paper counterexamples to the Kalman conjecture with smooth nonlinearity basing on the Fitts system, that are periodic solution or hidden chaotic attractor are presented. It is shown, that despite the fact that Kalman’s conjecture (as well as Aizerman’s) turned out to be incorrect in the case of n > 3, it had a huge impact on the theory of absolute stability, namely, the selection of the class of nonlinear systems whose stability can be studied with linear methods. peerReviewed

Barabanov systemsäätöteoriakaaosteoriamethodKalman conjectureFitts systempoint-mappinghidden attractor
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Characterisation of a commercial automotive lithium ion battery using extended Kalman filter

2013

This paper presents a extented Kalman filter based on a dynamic model of a commercial lithium ion battery pack in automotive applications, and experimental data are collected using the Noao. This vehicle is an electric track with range extender, which has been developed and produced by the association Pole de Performance de Nevers Magny-Cours (PPNMC). This model has been developed with MATLAB/Simulink to investigate the output characteristics of lithium-ion batteries. It incorporates I-V performance of the battery, battery capacity fading, temperature effect on battery performance, and the battery temperature rise. This estimation technique is used in order to estimate some parameters, whic…

Battery (electricity)Engineeringbusiness.industryTestbedAutomotive industryKalman filterAutomotive engineeringLithium-ion batteryExtended Kalman filterElectronic engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSHybrid vehicleMATLABbusinesscomputercomputer.programming_language2013 IEEE Transportation Electrification Conference and Expo (ITEC)
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IWCFTA2012 Keynote Speech I - Hidden attractors in dynamical systems: From hidden oscillation in Hilbert-Kolmogorov, Aizerman and Kalman problems to …

2012

Summary form only given. In this survey an attempt is made to reflect the current trends in the synthesis of analytical and numerical methods to develop efficient analytical-numerical methods, based on harmonic linearization, applied bifurcation theory and numerical methods, for searching hidden oscillations.

Bifurcation theoryCurrent (mathematics)Dynamical systems theoryControl theoryNumerical analysisAttractorApplied mathematicsKalman filterHidden oscillationMathematicsElectronic circuit2012 Fifth International Workshop on Chaos-fractals Theories and Applications
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Real-time estimation of plasma insulin concentration from continuous glucose monitor measurements

2015

Continuous glucose monitors can measure interstitial glucose concentration in real time for closed-loop glucose control systems, known as artificial pancreas. These control systems use an insulin feedback to maintain plasma glucose concentration within a narrow and safe range, and thus to avoid health complications. As it is not possible to measure plasma insulin concentration in real time, insulin models have been used in literature to estimate them. Nevertheless, the significant interand intra-patient variability of insulin absorption jeopardizes the accuracy of these estimations. In order to reduce these limitations, our objective is to perform a real-time estimation of plasma insulin co…

Blood GlucoseMaleInsulin pump0209 industrial biotechnologymedicine.medical_treatmentBiomedical EngineeringArtificial pancreas030209 endocrinology & metabolismBioengineering02 engineering and technologyArtificial pancreas03 medical and health sciencesExtended Kalman filter020901 industrial engineering & automation0302 clinical medicineComputer SystemsTime estimationmedicineHumansInsulinComputer SimulationObservabilityMathematicsType 1 diabetesBlood Glucose Self-MonitoringInsulinReproducibility of ResultsGlucose insulin modelsGeneral MedicineMiddle AgedModels Theoreticalmedicine.diseaseINGENIERIA DE SISTEMAS Y AUTOMATICAExtended Kalman filterComputer Science ApplicationsHuman-Computer InteractionDiabetes Mellitus Type 1Type 1 diabetesFemalePlasma insulinMATEMATICA APLICADAAlgorithmsInsulin estimationBiomedical engineeringComputer Methods in Biomechanics and Biomedical Engineering
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Le piazze quadrate ad angoli chiusi nelle città siciliane di fondazione. Alcuni casi di studio

2013

La piazza delle città fondate in Sicilia tra Cinquecento e Settecento dalla classe baronale accoglie solitamente la sede del potere politico e religioso, palesata nel palazzo del fondatore e nella chiesa Madre, e con la sua posizione orienta la trama viaria, che è di regola a maglia ortogonale. Un caso particolare, non molto diffuso in Sicilia, è rappresentato dalla piazza ad angoli chiusi, attraversata nella mezzeria dei lati da una croce di strade, i cui esempi più noti possono individuarsi nelle piazze di Cattolica Eraclea (1610) e Palma di Montechiaro (1637), che nel testo vengono analizzate.

Cattolica Eraclea Palma di Montechiaro piazze città di fondazioneSettore ICAR/18 - Storia Dell'Architettura
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Analytical-numerical methods for investigation of hidden oscillations in nonlinear control systems

2011

The method of harmonic linearization, numerical methods, and the applied bifurcation the- ory together discover new opportunities for analysis of oscillations of control systems. In the present survey analytical-numerical algorithms for hidden oscillation localization are discussed. Examples of hidden attrac- tor localization in Chua's circuit and counterexamples construction to Aizerman's conjecture and Kalman's conjecture are considered.

Chua's circuitHarmonic balanceNumerical analysisMathematical analysisApplied mathematicsGeneral MedicineKalman filterNonlinear controlHidden oscillationBifurcationCounterexampleMathematicsIFAC Proceedings Volumes
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Sulla viabilità del territorio di Palma di Montechiaro. Brevi note in margine al progetto "Cignana"

2009

CignanaPalmaViabilitàSettore L-ANT/09 - Topografia Antica
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Asynchronous sensor fusion of GPS, IMU and CAN-based odometry for heavy-duty vehicles

2021

[EN] In heavy-duty vehicles, multiple signals are available to estimate the vehicle's kinematics, such as Inertial Measurement Unit (IMU), Global Positioning System (GPS) and linear and angular speed readings from wheel tachometers on the internal Controller Area Network (CAN). These signals have different noise variance, bandwidth and sampling rate (being the latter, possibly, irregular). In this paper we present a non-linear sensor fusion algorithm allowing asynchronous sampling and non-causal smoothing. It is applied to achieve accuracy improvements when incorporating odometry measurements from CAN bus to standard GPS+IMU kinematic estimation, as well as the robustness against missing da…

Computer Networks and CommunicationsComputer scienceINGENIERIA MECANICAAerospace EngineeringExtended Kalman filterOdometryControl theoryInertial measurement unitRobustness (computer science)Asynchronous sampled-dataElectrical and Electronic EngineeringRauch-tung-striebel smootherSensor fusionbusiness.industrySAE J1939Models matemàticsProcessos estocàsticsVehiclesKalman filterSensor fusionExtended kalman filterINGENIERIA DE SISTEMAS Y AUTOMATICAHeavy-duty vehiclesAutomotive EngineeringGlobal Positioning SystembusinessSmoothing
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A Kalman Filter Approach for Distinguishing Channel and Collision Errors in IEEE 802.11 Networks

2008

In the last years, several strategies for maximizing the throughput performance of IEEE 802.11 networks have been proposed in literature. Specifically, it has been shown that optimizations are possible both at the medium access control (MAC) layer, and at the physical (PHY) layer. In fact, at the MAC layer, it is possible to minimize the channel waste due to collisions and backoff expiration times, by tuning the minimum contention window as a function of the network congestion level. At the PHY layer, it is possible to improve the transmission robustness, by selecting a suitable modulation/coding scheme as a function of the channel quality perceived by the stations. However, the feasibility…

Computer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingPhysical layerchannel estimationThroughputKalman filterNetwork allocation vectorNetwork congestionExtended Kalman filterWLANIEEE 802.11ModulationRobustness (computer science)PHYWireless lanComputer Science::Networking and Internet ArchitectureCommunication channel
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Tuning of Extended Kalman Filters for Sensorless Motion Control with Induction Motor

2019

This work deals with the tuning of an Extended Kalman Filter for sensorless control of induction motors for electrical traction in automotive. Assuming that the parameters of the induction motor-load model are known, Genetic Algorithms are used for obtaining the system noise covariance matrix, considering the measurement noise covariance matrix equal to the identity matrix. It is shown that only stator currents have to be acquired for reaching this objective, which is easy to accomplish using Hall-effect transducers. In fact, the Genetic Algorithm minimizes, with respect to the system covariance matrix, a suitable measure of the displacement between the stator currents experimentally acquir…

Computer scienceCovariance matrixStator020209 energy020208 electrical & electronic engineeringIdentity matrix02 engineering and technologyKalman filterMotion controllaw.inventionExtended Kalman filterExtended Kalman filterNoiseGenetic algorithmSettore ING-INF/04 - AutomaticaControl theorylawSenseless controlElectrical traction0202 electrical engineering electronic engineering information engineeringInduction motor
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