Search results for "Signal processing"

showing 10 items of 2451 documents

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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Tutorial on dynamic analysis of the Costas loop

2016

Abstract Costas loop is a classical phase-locked loop (PLL) based circuit for carrier recovery and signal demodulation. The PLL is an automatic control system that adjusts the phase of a local signal to match the phase of the input reference signal. This tutorial is devoted to the dynamic analysis of the Costas loop. In particular the acquisition process is analyzed. Acquisition is most conveniently described by a number of frequency and time parameters such as lock-in range, lock-in time, pull-in range, pull-in time, and hold-in range. While for the classical PLL equations all these parameters have been derived (many of them are approximations, some even crude approximations), this has not…

0209 industrial biotechnologyAutomatic controlComputer science020208 electrical & electronic engineering02 engineering and technologyFilter (signal processing)SignalLoop (topology)Phase-locked loop020901 industrial engineering & automationControl and Systems EngineeringControl theoryCostas loop0202 electrical engineering electronic engineering information engineeringDemodulationCarrier recoverySoftwareAnnual Reviews in Control
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Cross-Layer MAC Protocol for Unbiased Average Consensus Under Random Interference

2019

Wireless Sensor Networks have been revealed as a powerful technology to solve many different problems through sensor nodes cooperation. One important cooperative process is the so-called average gossip algorithm, which constitutes a building block to perform many inference tasks in an efficient and distributed manner. From the theoretical designs proposed in most previous work, this algorithm requires instantaneous symmetric links in order to reach average consensus. However, in a realistic scenario wireless communications are subject to interferences and other environmental factors, which results in random instantaneous topologies that are, in general, asymmetric. Consequently, the estimat…

0209 industrial biotechnologyComputer Networks and CommunicationsComputer sciencebusiness.industryEstimator020206 networking & telecommunications02 engineering and technologyExpected valueNetwork topology020901 industrial engineering & automationMinimum-variance unbiased estimatorBias of an estimatorSignal Processing0202 electrical engineering electronic engineering information engineeringWirelessbusinessAlgorithmWireless sensor networkRandom variableInformation SystemsIEEE Transactions on Signal and Information Processing over Networks
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Cross-correlation of whitened vibration signals for low-speed bearing diagnostics

2019

Abstract Rolling-element bearings are crucial components in all rotating machinery, and their failure will initially degrade the machine performance, and later cause complete shutdown. The period between an initial crack and complete failure is short due to crack propagation. Therefore, early fault detection is important to avoid unexpected machine shutdown and to aid in maintenance scheduling. Bearing condition monitoring has been applied for several decades to detect incipient faults at an early stage. However, low-speed conditions pose a challenge for bearing fault diagnosis due to low fault impact energy. To reliably detect bearing faults at an early stage, a new method termed Whitened …

0209 industrial biotechnologyComputer scienceAerospace Engineering02 engineering and technology01 natural sciencesFault detection and isolationScheduling (computing)law.inventionsymbols.namesake020901 industrial engineering & automationlawControl theory0103 physical sciences010301 acousticsCivil and Structural EngineeringBearing (mechanical)Cross-correlationMechanical EngineeringCondition monitoringRotational speedComputer Science ApplicationsVibrationControl and Systems EngineeringSignal ProcessingsymbolsHilbert transformMechanical Systems and Signal Processing
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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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Integrated GNSS/IMU Hub Motion Estimator for Offshore Wind Turbine Blade Installation

2019

Abstract Offshore wind turbines (OWTs) have become increasingly popular for their ability to harvest clean offshore wind energy. Bottom-fixed foundations are the most used foundation type. Because of its large diameter, the foundation is sensitive to wave loads. For typical manually assisted blade-mating operations, the decision to perform the mating operation is based on the relative distance and velocity between the blade root center and the hub, and in accordance with the weather window. Hence, monitoring the hub real-time position and velocity is necessary, whether the blade installation is conducted manually or automatically. In this study, we design a hub motion estimation algorithm f…

0209 industrial biotechnologyComputer scienceMechanical EngineeringAerospace EngineeringEstimator02 engineering and technologyKalman filterSensor fusion01 natural sciencesComputer Science ApplicationsOffshore wind power020901 industrial engineering & automationControl and Systems EngineeringInertial measurement unitControl theoryGNSS applications0103 physical sciencesSignal ProcessingTrajectory010301 acousticsSmoothingCivil and Structural Engineering
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Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis

2020

The use of robotics is beginning to play a key role in automating the data collection process in Non Destructive Testing (NDT). Increasing the use of automation quickly leads to the gathering of large quantities of data, which makes it inefficient, perhaps even infeasible, for a human to parse the information contained in them. This paper presents a solution to this problem by making the process of NDT data acquisition an autonomous one as opposed to an automatic one. In order to achieve this, the robotic data acquisition task is treated as an optimisation problem, where one seeks to find locations with the highest indication of damage. The resulting algorithm combines damage detection tech…

0209 industrial biotechnologyComputer scienceTKAerospace Engineering02 engineering and technologycomputer.software_genre01 natural sciencesField (computer science)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationData acquisitionNon-destructive testing (NDT)0103 physical sciencesUltrasoundUncertainty quantificationOutlier analysis010301 acousticsCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringProbabilistic logicBayesian optimisationAutomationComputer Science ApplicationsControl and Systems EngineeringSignal ProcessingOutlierStructural health monitoringData miningbusinesscomputerGaussian process (GP) regression
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A Self-Contained Electro-Hydraulic Cylinder with Passive Load-Holding Capability

2019

Self-contained electro-hydraulic cylinders have the potential to replace both conventional hydraulic systems and the electro-mechanical counterparts enhancing energy efficiency, plug-and-play installation, and reduced maintenance. Current commercial solutions of this technology are limited and typically tailor-made, whereas the research emphasis is primarily on cost efficiency and power applications below five [kW]. Therefore, there is the need of developing more flexible systems adaptable to multiple applications. This research paper offers a contribution in this regard. It presents an electro-hydraulic self-contained single-rod cylinder with passive load-holding capability, sealed tank, c…

0209 industrial biotechnologyControl and OptimizationComputer science020209 energyEnergy Engineering and Power TechnologyComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologySelf-contained cylinderslcsh:TechnologyAutomotive engineeringCylinder (engine)law.invention020901 industrial engineering & automationlawload-holding valves0202 electrical engineering electronic engineering information engineeringCylinderElectrical and Electronic EngineeringHydraulic machineryEngineering (miscellaneous)Renewable Energy Sustainability and the EnvironmentOscillationlcsh:TmodelingSelf-contained cylinders; electro-hydraulic systems; load-holding valves; modelingPower (physics)VDP::Teknologi: 500ActuatorEnergy (signal processing)electro-hydraulic systemsEnergy (miscellaneous)
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Energy-based fluid–structure model of the vocal folds

2020

AbstractLumped elements models of vocal folds are relevant research tools that can enhance the understanding of the pathophysiology of many voice disorders. In this paper, we use the port-Hamiltonian framework to obtain an energy-based model for the fluid–structure interactions between the vocal folds and the airflow in the glottis. The vocal fold behavior is represented by a three-mass model and the airflow is described as a fluid with irrotational flow. The proposed approach allows to go beyond the usual quasi-steady one-dimensional flow assumption in lumped mass models. The simulation results show that the proposed energy-based model successfully reproduces the oscillations of the vocal …

0209 industrial biotechnologyControl and OptimizationGlottisComputer scienceApplied MathematicsAirflow02 engineering and technologyMechanicsFold (geology)ArticlesConservative vector field01 natural sciencesCompressible flowPhysics::Fluid Dynamics020901 industrial engineering & automationmedicine.anatomical_structureFlow (mathematics)Control and Systems EngineeringComputer Science::SoundVocal folds0103 physical sciencesmedicine010301 acousticsEnergy (signal processing)
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A Fractional-Order Control Approach to Ramp Tracking with Memory-Efficient Implementation

2020

We investigate the fractional-order (FO) control of arbitrary order LTI systems. We show that, for ramp tracking or input disturbance rejection, it is advantageous to include an FO integrator to the open-loop if we have to increase the order of integration further than one. With the lower phase-loss of the FO integrator it is easier to guarantee a desired phase margin. Furthermore the flat phase response around the crossover-frequency (iso-damping property) can be achieved for a wider frequency range such that the closed-loop is more robust wrt. amplitude and phase margins. The drawback of the FO approach is the increased implementation effort and the algebraic decay, which slows down the t…

0209 industrial biotechnologyDiscretizationComputer science05 social sciencesPhase margin02 engineering and technologyFilter (signal processing)050601 international relations0506 political science020901 industrial engineering & automationControl theoryIntegratorFrequency domainPhase responseFractional-order controlTransient response2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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