Search results for "Processing"

showing 10 items of 8572 documents

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
researchProduct

Adaptive Control of Soft Robots Based on an Enhanced 3D Augmented Rigid Robot Matching

2021

Despite having proven successful in generating precise motions under dynamic conditions in highly deformable soft-bodied robots, model based techniques are also prone to robustness issues connected to the intrinsic uncertain nature of the dynamics of these systems. This letter aims at tackling this challenge, by extending the augmented rigid robot formulation to a stable representation of three dimensional motions of soft robots, under Piecewise Constant Curvature hypothesis. In turn, the equivalence between soft-bodied and rigid robots permits to derive effective adaptive controllers for soft-bodied robots, achieving perfect posture regulation under considerable errors in the knowledge of …

0209 industrial biotechnologyControl and OptimizationAdaptive controlKinematicsComputer scienceSoft roboticsSoft roboticsKinematicsSolid modeling02 engineering and technologyComputer Science::Robotics03 medical and health sciences020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryRobustness (computer science)0202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)030304 developmental biologyComputingMethodologies_COMPUTERGRAPHICSrobotics0303 health sciencesbusiness.industrysoft robotsAdaptation modelsAdaptive controlRoboticsmodelinguncertain systems.Constant curvatureuncertain systemsControl and Systems EngineeringSolid modelingPiecewiseRobotflexible structuresThree-dimensional displays020201 artificial intelligence & image processingArtificial intelligencebusinessRobotsIEEE Control Systems Letters
researchProduct

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)
researchProduct

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)
researchProduct

Using the Analytic Hierarchy Process (AHP) in Evaluating the Decision of Moving to a Manufacturing Process Based Upon Continuous 5 Axes CNC Machine-t…

2016

Abstract This paper represents the second part of the work described in the paper with the title “Decision-making tool for moving from 3-axes to 5-axes CNC machine-tool”. The problem of using either 3 axes CNC machine-tools or 5 axes CNC machine tools was presented in the first part, together with a fuzzy logic based decision support tool. This time, an AHP approach is used in order to evaluate the decision of moving to a manufacturing process based upon 5 axes machine tools. Three variants were taken into consideration and analysed. The consistency of the proposed approach was evaluated and a sensitivity analysis was also introduced.

0209 industrial biotechnologyDecision support system5 axesbusiness.product_categoryComputer scienceAnalytic hierarchy processcosts02 engineering and technologyFuzzy logicanalytic hierarchy processevaluationConsistency (database systems)020901 industrial engineering & automationMachiningCNC machine-tool0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)General Environmental ScienceaccuracyIndustrial engineeringMachine tool3 axesNumerical controlGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingbusinessmachiningProcedia Computer Science
researchProduct

Assembly Assistance System with Decision Trees and Ensemble Learning

2021

This paper presents different prediction methods based on decision tree and ensemble learning to suggest possible next assembly steps. The predictor is designed to be a component of a sensor-based assembly assistance system whose goal is to provide support via adaptive instructions, considering the assembly progress and, in the future, the estimation of user emotions during training. The assembly assistance station supports inexperienced manufacturing workers, but it can be useful in assisting experienced workers, too. The proposed predictors are evaluated on the data collected in experiments involving both trainees and manufacturing workers, as well as on a mixed dataset, and are compared …

0209 industrial biotechnologyDecision support systemComputer scienceDecision treetraining stations02 engineering and technologyTP1-1185Machine learningcomputer.software_genreBiochemistryArticleAnalytical Chemistry020901 industrial engineering & automationPrediction methodsComponent (UML)decision tree0202 electrical engineering electronic engineering information engineeringassembly assistance systemsElectrical and Electronic EngineeringInstrumentationbusiness.industryChemical technologyNoveltyContrast (statistics)Ensemble learningAtomic and Molecular Physics and Opticsensemble learning020201 artificial intelligence & image processingSupport systemArtificial intelligencebusinesscomputerdecision support systemsSensors
researchProduct

Collaboration and Decision-Making in Context

2016

The goal of this chapter is to provide a historical account of the evolutions in the domain of the book and to set the stage for the concepts and solutions to be presented in the following chapters, including the introduction of the terminology adopted to be used throughout this text. Consequently, we aim at providing the answers to a series of questions, such as: (a) “How the organizations have been evolving over the last decades?”, (b) “Which have been the corresponding trends of the management and control schemes?”, (c) “How management and control functions are allocated to human and automation equipment?”, (d) “Which are the desirable properties of the information processing tools meant…

0209 industrial biotechnologyDecision support systemProcess managementComputer sciencebusiness.industry010401 analytical chemistryControl (management)Information processingContext (language use)02 engineering and technology01 natural sciencesAutomation0104 chemical sciencesTerminology020901 industrial engineering & automationSection (archaeology)businessDecision model
researchProduct

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
researchProduct

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)
researchProduct

Detection of algorithmically generated malicious domain names using masked N-grams

2019

Abstract Malware detection is a challenge that has increased in complexity in the last few years. A widely adopted strategy is to detect malware by means of analyzing network traffic, capturing the communications with their command and control (C&C) servers. However, some malware families have shifted to a stealthier communication strategy, since anti-malware companies maintain blacklists of known malicious locations. Instead of using static IP addresses or domain names, they algorithmically generate domain names that may host their C&C servers. Hence, blacklist approaches become ineffective since the number of domain names to block is large and varies from time to time. In this paper, we i…

0209 industrial biotechnologyDomain generation algorithmComputer scienceGeneral Engineering02 engineering and technologycomputer.software_genreBlacklistComputer Science ApplicationsRandom forestDomain (software engineering)020901 industrial engineering & automationArtificial IntelligenceServer0202 electrical engineering electronic engineering information engineeringMalware020201 artificial intelligence & image processingData miningcomputerHost (network)Block (data storage)Expert Systems with Applications
researchProduct