Search results for "Nonlinear system"

showing 10 items of 1446 documents

Experimental validation of a direct pre-design formula for TLCD

2014

The passive control of vibrations has received in recent years a great deal of attention from researchers. Several types of devices have been proposed in order to reduce the dynamic responses of different kinds of structural systems. Among them, the Tuned Liquid Column Damper (TLCD) has proved to be very effective in reducing vibration of structures. However, since the equations governing the TLCD controlled systems response is nonlinear, the calibration of TLCD parameters is time consuming and not convenient to perform in a pre-design phase. In this context, it has recently been introduced by the authors a formula that allows to choose the optimal parameters of TLCD in a direct and fast wa…

EngineeringExperimental investigationbusiness.industryStructural systemMonte Carlo methodContext (language use)Structural engineeringDamperVibrationNonlinear systemControl theoryCalibrationEarthquake shaking tableTuned liquid column damperbusinessStatistical linearization techniqueCivil and Structural EngineeringEngineering Structures
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Spectral analysis of the criteria for multiaxial Random Fatigue

1991

In the paper the spectral analysis of several fatigue criteria under simple and complex states of stress has been done and limitations appearing while formulating new criteria for multiaxial random loadings have been shown. The presented analysis includes determination, with digital simulation, of probability density function and power spectral density function of the equivalent stress according to three special linear criteria of multiaxial random fatigue and six nonlinear criteria. Calculations were carried out for four kinds of random stress state. It has been shown that mathematical models for the criteria of multiaxial random fatigue formulated as nonlinear combinations of stress state…

EngineeringMathematical modelDeformation (mechanics)business.industryMechanical EngineeringSpectral densityProbability density functionStructural engineeringFunction (mathematics)Condensed Matter PhysicsStress (mechanics)Nonlinear systemMechanics of MaterialsShear stressGeneral Materials SciencebusinessMaterialwissenschaft und Werkstofftechnik
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A Multi-Objective Approach to Optimize a Periodic Maintenance Policy

2012

The present paper proposes a multi-objective approach to find out an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical system inspection by ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that in the case of system elements failure they are instantaneously detected and repaired by means of minimal repair actions in order to rapidly restore the system. A nonlinear integer mathematical programmi…

EngineeringMathematical optimizationGeneral Computer ScienceReliability (computer networking)Energy Engineering and Power TechnologyAerospace EngineeringMulti-objective optimizationIndustrial and Manufacturing EngineeringMulti-Objective Optimization.Goal programmingSettore ING-IND/17 - Impianti Industriali MeccaniciElectrical and Electronic EngineeringSafety Risk Reliability and QualityMulti-Component SystemSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazionePeriodic Maintenance; Multi-Component System; Non-Homogeneous Poisson Process; Multi-Objective Optimization.business.industryMulti-Objective OptimizationLexicographical orderNon-Homogeneous Poisson ProceNonlinear systemNuclear Energy and EngineeringPeriodic MaintenanceMinificationUnavailabilitybusinessInteger (computer science)
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Robust control of stochastic systems against bounded disturbances with application to flight control

2014

This paper investigates the problems of state observer design and observer-based integral sliding-mode control (SMC) for a class of Itô stochastic systems subject to simultaneous input and output disturbances. A new type of sliding-mode-based descriptor observer method is developed to approximate the system state and disturbance vectors. An integral-type SMC scheme is proposed based on the state estimation to stabilize the overall system. The main contributions of this approach are as follows: 1) The desired estimations of state and disturbance vectors can be obtained simultaneously, and 2) in the designed sliding-mode observer, the integral term of the Itô stochastic noise is eliminated …

EngineeringMathematical optimizationObserver (quantum physics)business.industryInput disturbanceintegral sliding-mode control (SMC)Computer Science Applications1707 Computer Vision and Pattern Recognitionoutput disturbanceNonlinear systemMatrix (mathematics)NoiseInput disturbance; integral sliding-mode control (SMC); output disturbance; sliding-mode observer (SMO); state estimation; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringReachabilityControl theoryControl and Systems EngineeringBounded functionsliding-mode observer (SMO)State observerstate estimationRobust controlElectrical and Electronic Engineeringbusiness
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LPV models: Identification for gain scheduling control

2001

In this paper the use of discrete-time Linear Parameter Varying (LPV) models for the gain scheduling control and identification methods for non-linear or time-varying system is considered. We report an overview on the existing literature on LPV systems for gain scheduling control and identification. Moreover, assuming that inputs, outputs and the scheduling parameters are measured, and a form of the functional dependence of the coefficients on the parameters is known, we show how the identification problem can be reduced to a linear regression so that a Least Mean Square and Recursive Least Square identification algorithm can be reformulated. Our methodology is applied for the identificatio…

EngineeringMathematical optimizationbusiness.industryGain scheduling control; identification for nonlinear systems; LPV models;Jet enginelaw.inventionScheduling (computing)Least mean squares filterParameter identification problemGain schedulingControl theoryRobustness (computer science)lawLinear regressionbusinessSurge control2001 European Control Conference (ECC)
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NARX Models of an Industrial Power Plant Gas Turbine

2005

This brief reports the experience with the identification of a nonlinear autoregressive with exogenous inputs (NARX) model for the PGT10B1 power plant gas turbine manufactured by General Electric-Nuovo Pignone. Two operating conditions of the turbine are considered: isolated mode and nonisolated mode. The NARX model parameters are estimated iteratively with a Gram-Schmidt procedure, exploiting both forward and stepwise regression. Many indexes have been evaluated and compared in order to perform subset selection in the functional basis set and determine the structure of the nonlinear model. Various input signals (from narrow to broadband) for identification and validation have been consider…

EngineeringNonlinear autoregressive exogenous modelbusiness.industryTurbinesSystem identificationControl engineeringNonlinear controlTurbineDistributed power generationElectric power systemNonlinear systemAutoregressive modelControl and Systems EngineeringSteam turbineControl theoryElectrical and Electronic EngineeringbusinessGas turbines
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Robust adaptive backstepping control design for a Nonlinear Hydraulic-Mechanical System

2009

The complex dynamics that characterize hydraulic systems make it difficult for the control design to achieve prescribed goals in an efficient manner. In this paper, we present the design and analysis of a robust nonlinear controller for a Nonlinear Hydraulic-Mechanical (NHM) System. The system consists of an electrohydraulic servo valve and two hydraulic cylinders. Specifically, by considering a part of the dynamics of the NHM system as a norm-bounded uncertainty, two adaptive controllers are developed based on the backstepping technique that ensure the tracking error signals asymptotically converge to zero despite the uncertainties in the system according to the Barbalat lemma. The resulti…

EngineeringNonlinear systemHydraulic cylinderAdaptive controlbusiness.industryControl theoryRobustness (computer science)BacksteppingControl engineeringRobust controlHydraulic machinerybusinessElectrohydraulic servo valveProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
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Linear vs. non-linear classification of winners, drawers and losers at FIFA World Cup 2014

2017

Purpose: Tactical analyses to distinguish between football teams that were more or less successful have been conducted up to now only by means of linear methods (like discriminant analysis). Concer...

EngineeringOperations researchbusiness.industry030209 endocrinology & metabolismPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciencesFootballLinear discriminant analysisMachine learningcomputer.software_genreLinear methods03 medical and health sciencesNonlinear system0302 clinical medicineTourism Leisure and Hospitality ManagementNotational analysisOrthopedics and Sports MedicineArtificial intelligencebusinesscomputerScience and Medicine in Football
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Incremental dynamic based fragility assessment of reinforced concrete structures: Stationary vs. non-stationary artificial ground motions

2017

Abstract Artificial and natural records are commonly employed by researches and practitioners to perform refined seismic assessments of structures. The techniques for the generation of artificial records and their effectiveness in producing signals which are significantly representative of real earthquakes are still debated as well as results of the consequent seismic assessment to expect from their application. The paper presents an in-depth comparative study highlighting the effect of employing different typologies of artificial ground motion records on seismic assessment results, especially addressing seismic fragility curves. Three sets of 50 stationary, nonstationary evenly modulated a…

EngineeringPeak ground accelerationIncremental dynamic analysi0211 other engineering and technologiesSoil Science020101 civil engineering02 engineering and technologyIncremental dynamic analysisSpectral accelerationIncremental Dynamic Analysis0201 civil engineeringFragilitySeismic assessmentReinforced concrete structuresNonlinear dynamic analysiNon-stationary random processeNonlinear dynamic analysisCivil and Structural EngineeringReinforced concrete structureFragility curves021110 strategic defence & security studiesbusiness.industryArtificial accelerogramsNon-stationary random processesStructural engineeringArtificial accelerograms; Fragility curves; Incremental dynamic analysis; Non-stationary random processes; Nonlinear dynamic analysis; Reinforced concrete structures; Civil and Structural Engineering; Geotechnical Engineering and Engineering Geology; Soil ScienceGeotechnical Engineering and Engineering GeologyReinforced concreteArtificial accelerograms Non-stationary random processes Nonlinear dynamic analysis Incremental dynamic analysis Fragility curves Reinforced concrete structuresNonlinear systemTime historyArtificial accelerogramFragility curvebusiness
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Monte Carlo simulation for the response analysis of long-span suspended cables under wind loads

2004

This paper presents a time-domain approach for analyzing nonlinear random vibrations of long-span suspended cables under transversal wind. A consistent continuous model of the cable, fully accounting for geometrical nonlinearities inherent in cable behavior, is adopted. The effects of spatial correlation are properly included by modeling wind velocity fluctuation as a random function of time and of a single spatial variable ranging over cable span, namely as a one-variate bi-dimensional (1V-2D) random field. Within the context of a Galerkin`s discretization of the equations governing cable motion, a very efficient Monte Carlo-based technique for second-order analysis of the response is prop…

EngineeringRandom fieldDiscretizationSuspended cablebusiness.industrysuspended cable; wind velocity random field; Proper Orthogonal DecompositionMonte Carlo methodRandom functionBuilding and ConstructionMechanicsStructural engineeringAerodynamicsProper orthogonal decompositionWind speedVibrationNonlinear systemModeling and SimulationWind velocityRandom fieldNonlinear vibrationDigital simulationbusinessCivil and Structural EngineeringWind and Structures
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