Search results for "Linear system"

showing 10 items of 1558 documents

Composite nonlinear feedback control for path following of four-wheel independently actuated autonomous ground vehicles

2015

This paper studies the path following control problem for four-wheel independently actuated (FWIA) autonomous ground vehicles (AGVs) through integrated control of active front-wheel steering (AFS) and direct yaw-moment control (DYC). A modified composite nonlinear feedback (CNF) strategy is proposed to improve the transient performance and eliminate the steady-state errors in the path following control considering the tire force saturations, in the presence of the time-varying road curvature for the desired path. The path following is achieved through vehicle lateral and yaw control, i.e., the lateral velocity and yaw rate are simultaneously controlled to track their respective desired valu…

EngineeringControl and Optimizationbusiness.industryYawCurvatureControl and Systems Engineering; Modeling and Simulation; Control and OptimizationVehicle dynamicsNonlinear systemControl and Systems EngineeringControl theoryModeling and SimulationPath (graph theory)Transient (oscillation)Transient responsebusiness2015 54th IEEE Conference on Decision and Control (CDC)
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Stochastic seismic analysis of MDOF structures with nonlinear viscous dampers

2009

Fluid damper devices in civil structures such as buildings or bridges are commonly used as energy absorbers for seismic protection. The problem in the response analysis of structures with filled dampers mainly consists in the fact that, due to the strongly nonlinear behavior of such equipments, the response spectrum (RS) technique fails. In this paper by using the concept of power spectral density function compatible with the elastic RS and the statistical linearization technique, the equivalent damping ratio is obtained. It is shown that once the system is linearized, results obtained by Monte Carlo simulation and those obtained by stochastic analysis are in good agreement. Copyright © 200…

EngineeringDamping ratiobusiness.industryResponse analysisMonte Carlo methodSpectral densityBuilding and ConstructionStructural engineeringSeismic analysisDamperNonlinear systemMechanics of MaterialsbusinessResponse spectrumCivil and Structural EngineeringStructural Control and Health Monitoring
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Model predictive control for drum water level of boiler systems

2014

EngineeringDrum Water LevelInformation Systems and Managementbusiness.industryBoiler (power generation)DrumLinear-quadratic-Gaussian controlWater levelNonlinear systemModel predictive controlControl theoryControl and Systems EngineeringbusinessNon-linear SystemsDrum Water Level; Model Predictive Control; Non-linear Systems; Information Systems and Management; Control and Systems EngineeringModel Predictive Control
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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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