Search results for "Nonlinear system"

showing 10 items of 1446 documents

Dimensionless Stage-Discharge Relationship for a Non-Linear Water Reservoir: Theory and Experiments

2020

In the field of hydrology, stage&ndash

010504 meteorology & atmospheric sciences0207 environmental engineering02 engineering and technologyOceanography01 natural sciencesWater balanceWater reservoirSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali020701 environmental engineeringlcsh:ScienceWaste Management and Disposal0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyMathematicsConservation of energyMechanicsDischarge coefficientstage-discharge relationshipanalytical solutionNonlinear systemexperimental testContinuity equationlcsh:Qnon-linear reservoirDimensionless quantity
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Joint Gaussian processes for inverse modeling

2017

Solving inverse problems is central in geosciences and remote sensing. Very often a mechanistic physical model of the system exists that solves the forward problem. Inverting the implied radiative transfer model (RTM) equations numerically implies, however, challenging and computationally demanding problems. Statistical models tackle the inverse problem and predict the biophysical parameter of interest from radiance data, exploiting either in situ data or simulated data from an RTM. We introduce a novel nonlinear and nonparametric statistical inversion model which incorporates both real observations and RTM-simulated data. The proposed Joint Gaussian Process (JGP) provides a solid framework…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesNonparametric statisticsInverseInversion (meteorology)Statistical model02 engineering and technologyInverse problem01 natural sciencesData modelingNonlinear systemsymbols.namesakeAtmospheric radiative transfer codesRadiancesymbolsGaussian processAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciences
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Anticipating the impact of pitfalls in kinetic biodegradation parameter estimation from substrate depletion curves of organic pollutants

2019

[EN] Accurate and reliable estimation of kinetic parameters of pollutant biodegradation processes is essential for environmental and health risk assessment. Common biodegradation models proposed in the literature, such as the nonlinear Monod equation and its simplified versions (e.g. Michaelis-Menten-like and first-order equations), are problematic in terms of accuracy of kinetic parameters due to the parameter correlation. However, a comparison between these models in terms of accuracy and reliability, related to data imprecision, has not been performed in the literature. This task is necessary, mainly because the model selection cannot be straightforward, as shown in this work. To facilit…

010504 meteorology & atmospheric sciencesComputer scienceHealth Toxicology and Mutagenesis010501 environmental sciencesToxicology01 natural sciencesRisk AssessmentModelling depletion curveMonod equationLimit (mathematics)Reliability (statistics)0105 earth and related environmental sciencesPollutantObservational errorEstimation theoryModel selectionReproducibility of ResultsModel comparisonGeneral MedicineModels TheoreticalPollutionNonlinear systemKineticsBiodegradation EnvironmentalParameter estimationsBiodegradationEnvironmental PollutantsBiochemical engineeringPitfallsAlgorithms
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Rocking of rigid block on nonlinear flexible foundation

2017

Abstract The two prime models used currently to describe rocking of rigid bodies, the Housner’s model and the Winkler foundation model, can capture some of the salient features of the physics of this important problem. These two models involve either null or linear interaction between the block and the foundation. Hopefully, some additional aspects of the problem can be captured by an enhanced nonlinear model for the base-foundation interaction. In this regard, what it is adopted in this paper is the Hunt and Crossley’s nonlinear impact force model in which the impact/contact force is represented by springs in parallel with nonlinear dampers. In this regard, a proper mathematical formulatio…

020101 civil engineeringContext (language use)Harmonic (mathematics)02 engineering and technology0201 civil engineeringContact forceDamper0203 mechanical engineeringControl theoryMechanics of MaterialNonlinear contact modelMathematicsbusiness.industryApplied MathematicsMechanical EngineeringFoundation (engineering)Structural engineeringNonlinear systemRocking motion020303 mechanical engineering & transportsMechanics of MaterialsSalientImpactHarmonic base motionSettore ICAR/08 - Scienza Delle CostruzionibusinessInternational Journal of Non-Linear Mechanics
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Adaptive-Gain Observers and Applications

2007

We distinguish two kinds of observers for nonlinear systems which are used by scientists and engineers: empirical observers and converging observers.

0209 industrial biotechnology020208 electrical & electronic engineeringSystem identification02 engineering and technology[SPI.AUTO]Engineering Sciences [physics]/AutomaticAdaptive observerNonlinear system020901 industrial engineering & automationClassical mechanics[SPI.AUTO] Engineering Sciences [physics]/AutomaticControl theory[ SPI.AUTO ] Engineering Sciences [physics]/Automatic0202 electrical engineering electronic engineering information engineeringCanonical formNon linear observerLoad torqueComputingMilieux_MISCELLANEOUSMathematics
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Adaptive Backstepping Control of a 2-DOF Helicopter System with Uniform Quantized Inputs

2020

Author's accepted manuscript © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This paper proposes a new adaptive controller for a 2-Degree of Freedom (DOF) helicopter system in the presence of input quantization. The inputs are quantized by uniform quantizers. A nonlinear mathematical model is derived for the 2-DOF helicopter system based on Euler-Lagrange equat…

0209 industrial biotechnologyAdaptive controlComputer science02 engineering and technologyComputer Science::RoboticsNonlinear systemQuantization (physics)VDP::Teknologi: 500020901 industrial engineering & automationControl theoryRobustness (computer science)Backstepping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing
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Adaptive Asymptotically Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Input Quantization

2018

In this paper, we investigate the output tracking control problem for a class of uncertain nonlinear systems in parametric strict feedback form with quantized input. A novel backstepping based adaptive quantized control scheme is proposed. Different from the existing results, the true quantization parameters are allowed to be unknown in the design of adaptive controller. It is shown that with the proposed control scheme, the system output can track the desired trajectory asymptotically and all the closed-loop signals are globally uniformly bounded.

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineering02 engineering and technologyNonlinear systemQuantization (physics)020901 industrial engineering & automationControl theoryBacksteppingStrict-feedback form0202 electrical engineering electronic engineering information engineeringUniform boundednessParametric statistics
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Adaptive Backstepping Control of a 2-DOF Helicopter

2019

This paper proposes an adaptive nonlinear controller for a 2-Degree of Freedom (DOF) helicopter. The proposed controller is designed using backstepping control technique and is used to track the pitch and yaw position references independently. A MIMO nonlinear mathematical model is derived for the 2DOF helicopter based on Euler-Lagrange equations, where the system parameters and the control coefficients are uncertain. Unlike some existing control schemes for the helicopter control, the developed controller does not require the knowledge on the system uncertain parameters. Updating laws are used to estimate the unknown parameters. It is shown that not only the global stability is guaranteed …

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineeringMIMO02 engineering and technologyComputer Science::RoboticsNonlinear system020901 industrial engineering & automationComputer Science::Systems and ControlControl theoryRobustness (computer science)BacksteppingSystem parametersVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringPosition control
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Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

2018

In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that al…

0209 industrial biotechnologyAdaptive controlComputer scienceParameterized complexityEstimator02 engineering and technologyDirected graphNonlinear system020901 industrial engineering & automationControl theoryBackstepping0202 electrical engineering electronic engineering information engineeringTrajectoryUniform boundedness020201 artificial intelligence & image processing
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Adaptive control of uncertain nonlinear systems with quantized input signal

2018

Abstract This paper proposes new adaptive controllers for uncertain nonlinear systems in the presence of input quantization. The control signal is quantized by a class of sector-bounded quantizers including the uniform quantizer, the logarithmic quantizer and the hysteresis quantizer. To clearly illustrate our approaches, we will start with a class of single-loop nonlinear systems and then extend the results to multi-loop interconnected nonlinear systems. By using backstepping technique, a new adaptive control algorithm is developed by constructing a new compensation method for the effects of the input quantization. A hyperbolic tangent function is introduced in the controller with a new tr…

0209 industrial biotechnologyAdaptive controlComputer scienceQuantization (signal processing)02 engineering and technologyLipschitz continuityHyperbolic tangent functionTracking errorAdaptive ControlNonlinear system020901 industrial engineering & automationBacksteppingControl and Systems EngineeringControl theoryBackstepping:Electrical and electronic engineering [Engineering]0202 electrical engineering electronic engineering information engineeringControl signal020201 artificial intelligence & image processingElectrical and Electronic EngineeringAutomatica
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