Search results for "Non-linear system"

showing 7 items of 7 documents

Iterative closure method for non-linear systems driven by polynomials of Gaussian filtered processes

2008

This paper concerns the statistical characterization of the non-Gaussian response of non-linear systems excited by polynomial forms of filtered Gaussian processes. The non-Gaussianity requires the computation of moments of any order. The problem is solved profiting from both the stochastic equivalent linearization (EL), and the moment equation approach of Ito's stochastic differential calculus through a procedure divided into two parts. The first step requires the linearization of the system, while retaining the non-linear excitation; the response statistical moments are calculated exactly, and constitute a first estimate of the moments of the actual non-linear system. In the second step, t…

Itoˆ ’s calculuDynamical systems theoryIterative methodMoment equation approachMechanical EngineeringGaussianMathematical analysisStochastic calculusSecond moment of areaNon-linear systemComputer Science ApplicationsNonlinear systemsymbols.namesakeLinearizationModeling and SimulationsymbolsStochastic dynamicGeneral Materials ScienceIterative procedureSettore ICAR/08 - Scienza Delle CostruzioniGaussian processCivil and Structural EngineeringMathematicsComputers & Structures
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Modelling the dynamics of the students’ academic performance in the German region of the North Rhine-Westphalia: an epidemiological approach with unc…

2013

Student academic underachievement is a concern of paramount importance in Europe, where around 15% of the students in the last high school courses do not achieve the minimum knowledge academic requirement. In this paper, we propose a model based on a system of differential equations to study the dynamics of the students academic performance in the German region of North Rhine-Westphalia. This approach is supported by the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. This model allows us to forecast the student academic performance by means of confidence intervals over the next few years.

Applied MathematicsForecasting in Social SciencesNon-linear System of Differential EquationsModellingConfidence intervallanguage.human_languageComputer Science ApplicationsGermanBootstrap Confidence Intervals.Computational Theory and MathematicsSystem of differential equationsDynamics (music)ComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationlanguageStudent Academic PerformanceBootstrap confidence intervalMATEMATICA APLICADAMathematicsInternational Journal of Computer Mathematics
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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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Control of a Non-isothermal CSTR by Type-2 Fuzzy Logic Controllers

2009

The paper describes the application of a type-2 fuzzy logic controller (FLC) to a non-isothermal continuous stirred tank reactor (CSTR) characterized by the presence of saddle node and Hopf bifurcations. Its performance is compared with a type-1 fuzzy logic controller performance. A full analysis of the uncontrolled CSTR dynamic was carried out and used for the feedback-feedforward fuzzy controllers development. Simulation results confirm the effectiveness and the robustness of the type-2 FLCs which outperform their type-1 counterparts, particularly when uncertainties are present in the system.

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciComputer scienceContinuous stirred-tank reactorSaddle-node bifurcationFuzzy logicIsothermal processType-2 fuzzy logic controllerFuzzy logic controllerNon-isothermal CSTRControl theoryRobustness (computer science)BifurcationNon-linear system.Bifurcation
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Type-2 Fuzzy Control of a Bioreactor

2009

Abstract—In this paper the control of a bioprocess using an adaptive type-2 fuzzy logic controller is proposed. The process is concerned with the aerobic alcoholic fermentation for the growth of Saccharomyces Cerevisiae a n d i s characterized by nonlinearity and parameter uncertainty. Three type-2 fuzzy controllers heve been developed and tested by simulation: a simple type-2 fuzzy logic controller with 49 rules; a type-2 fuzzyneuro- predictive controller (T2FNPC); a t y p e -2 selftuning fuzzy controller ( T2STFC). The T2FNPC combines the capability of the type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a…

Adaptive neuro fuzzy inference systemSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive controlArtificial neural networkNeuro-fuzzyComputer scienceFuzzy setFuzzy control systemEthanol fermentationFuzzy logicDefuzzificationNonlinear systemModel predictive controlControl theoryAdaptive systemAdaptive control Type-2 fuzzy control Non-linear systems UncertaintyProcess controlRobust control
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Control of a non-isothermal continuous stirred tank reactor by a feedback–feedforward structure using type-2 fuzzy logic controllers

2011

A control system that uses type-2 fuzzy logic controllers (FLC) is proposed for the control of a non-isothermal continuous stirred tank reactor (CSTR), where a first order irreversible reaction occurs and that is characterized by the presence of bifurcations. Bifurcations due to parameter variations can bring the reactor to instability or create new working conditions which although stable are unacceptable. An extensive analysis of the uncontrolled CSTR dynamics was carried out and used for the choice of the control configuration and the development of controllers. In addition to a feedback controller, the introduction of a feedforward control loop was required to maintain effective control…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciInformation Systems and ManagementComputer scienceNon-linear systemsFeed forwardContinuous stirred-tank reactorFuzzy logicInstabilityIsothermal processComputer Science ApplicationsTheoretical Computer ScienceType-2 fuzzy logic controllerNonlinear systemNon-isothermal CSTRArtificial IntelligenceControl and Systems EngineeringControl theoryRobustness (computer science)Control systemBifurcationType-2 fuzzy logic controller; Non-isothermal CSTR; Bifurcation; Non-linear systemsSoftware
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Numerical scheme influence on Pseudo Dynamic tests results

2008

Settore ICAR/09 - Tecnica Delle CostruzioniPseudo-dynamic tests errors numerical algorithms non-linear systems
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