Search results for "Nonlinear system"

showing 10 items of 1446 documents

Nonlinear scaled models in 3D calculation of transformer magnetic circuits

2006

PurposeTo make easier and faster the designing of transformers using scale models.Design/methodology/approachThe scale modeling in designing of transformers is included. Both computer and physical models of high leakage reactance (HLR) and 3‐phase (TP3C) transformers have been considered. The 3D field computations have been executed for the scaled models, and the results were recalculated to the full‐scaled ones.FindingsIt is possible to calculate the scale coefficients for nonlinear models of transformers using finite element method (FEM) software. Obtained coefficients are useful in the designing process. Measurements confirm correctness of the scaling laws.Research limitations/implicatio…

Leakage inductanceEngineeringbusiness.industryApplied MathematicsComputationFinite element methodComputer Science Applicationslaw.inventionNonlinear systemComputational Theory and MathematicslawEddy currentElectronic engineeringElectrical and Electronic EngineeringTransformerbusinessScale modelScalingCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
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Robust control of a Hammerstein model of DC/DC converters

2007

This paper deals with the robust control of a Hammerstein mathematical model of DC/DC converters, consisting of the nonlinear static characteristics of the converter followed by one of a few number of linear time- invariant models which describe the converter in the useful working range. One of these models is assumed as the nominal model of the system and the remaining models are used for describing the model uncertainty. Nominal behaviour is assured using H-2 optimal control method, Robust stability and behaviour are assured by imposing H-infin specifications. The closed loop control system consisting of the converter Hammerstein model and the robust controller is analyzed by means of sim…

Linear systemControl engineeringInvariant (physics)ConvertersOptimal controlRobust controllersWorking rangeNonlinear systemSettore ING-INF/04 - AutomaticaControl theoryNonlinear static characteristicRobust controlHammerstein modelTime complexityMathematics2007 46th IEEE Conference on Decision and Control
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Local uniqueness of the solutions for a singularly perturbed nonlinear nonautonomous transmission problem

2020

Abstract We consider the Laplace equation in a domain of R n , n ≥ 3 , with a small inclusion of size ϵ . On the boundary of the inclusion we define a nonlinear nonautonomous transmission condition. For ϵ small enough one can prove that the problem has solutions. In this paper, we study the local uniqueness of such solutions.

Local uniqueness of the solutionsLaplace's equation020502 materialsApplied MathematicsNonlinear nonautonomous transmission problem010102 general mathematicsMathematical analysisA domainBoundary (topology)02 engineering and technology01 natural sciencesNonlinear systemMathematics - Analysis of PDEs35J25 31B10 35J65 35B25 35A020205 materials engineeringTransmission (telecommunications)Settore MAT/05 - Analisi MatematicaLocal uniqueness of the solutions; Nonlinear nonautonomous transmission problem; Singularly perturbed perforated domainFOS: MathematicsUniqueness0101 mathematicsSingularly perturbed perforated domainAnalysisMathematicsAnalysis of PDEs (math.AP)
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Fractional-order nonlinear hereditariness of tendons and ligaments of the human knee

2020

In this paper the authors introduce a nonlinear model of fractional-order hereditariness used to capture experimental data obtained on human tendons of the knee. Creep and relaxation data on fibrous tissues have been obtained and fitted with logarithmic relations that correspond to power-laws with nonlinear dependence of the coefficients. The use of a proper nonlinear transform allows one to use Boltzmann superposition in the transformed variables yielding a fractional-order model for the nonlinear material hereditariness. The fundamental relations among the nonlinear creep and relaxation functions have been established, and the results from the equivalence relations have been contrasted wi…

LogarithmQuasi-linear viscoelasticityGeneral MathematicsGeneral Physics and AstronomyHarmonic (mathematics)02 engineering and technology01 natural sciences010305 fluids & plasmasTendonsSuperposition principle0203 mechanical engineeringtendons and ligaments0103 physical sciencesHumansEquivalence relationnonlinear hereditarinessKneesingle-integralMechanical PhenomenaMathematicsPolynomial (hyperelastic model)LigamentsMathematical analysisGeneral EngineeringRelaxation (iterative method)Biomechanical PhenomenaFractional calculusNonlinear system020303 mechanical engineering & transportsNonlinear DynamicsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Nonlinear Analysis of Phase-Locked Loop (PLL): Global Stability Analysis, Hidden Oscillations and Simulation Problems

2013

In the middle of last century the problem of analyzing hidden oscillations arose in automatic control. In 1956 M. Kapranov considered a two-dimensional dynamical model of phase locked-loop (PLL) and investigated its qualitative behavior. In these investigations Kapranov assumed that oscillations in PLL systems can be self-excited oscillations only. However, in 1961, N. Gubar’ revealed a gap in Kapranov’s work and showed analytically the possibility of the existence of another type of oscillations, called later by the authors hidden oscillations, in a phase-locked loop model: from a computational point of view the system considered was globally stable (all the trajectories tend to equilibria…

Loop (topology)Phase-locked loopNonlinear systembusiness.industryBounded functionPhase (waves)Artificial intelligenceHidden oscillationTopologybusinessStability (probability)BifurcationMathematics
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Input-to-state stability for discrete-time nonlinear switched singular systems

2016

Discrete-time nonlinear switched singular systems (SSSs) are investigated.The input-to-state stability (ISS) problems for discrete-time nonlinear SSSs are concerned.The ISS criteria are obtained via average dwell time approach and iterative algorithm of discrete-time systems.The switching rules are optimized and designed. This paper investigates the input-to-state stability (ISS) problems for a class of discrete-time nonlinear switched singular systems (SSSs). Two novel ISS criteria are proposed based on average dwell time (ADT) approach and iterative algorithm of discrete-time systems (IADS). In particular, the following two cases are considered for the underlying systems: the first case i…

Lyapunov function0209 industrial biotechnologyInformation Systems and ManagementIterative method02 engineering and technologyStability (probability)Theoretical Computer Sciencesymbols.namesake020901 industrial engineering & automationExponential stabilityControl theoryArtificial IntelligenceIterative algorithm0202 electrical engineering electronic engineering information engineeringMathematicsSwitched singular systemInput-to-state stabilityProcess (computing)Computer Science Applications1707 Computer Vision and Pattern RecognitionAverage dwell time; Discrete-time system; Input-to-state stability; Iterative algorithm; Nonlinear system; Switched singular system; Control and Systems Engineering; Theoretical Computer Science; Software; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and Management; Artificial IntelligenceComputer Science ApplicationsNonlinear systemDwell timeDiscrete time and continuous timeDiscrete-time systemControl and Systems EngineeringsymbolsNonlinear system020201 artificial intelligence & image processingAverage dwell timeSoftware
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Stationary and Initial-Terminal Value Problem for Collective Decision Making via Mean-Field Games

2017

Given a large number of homogeneous players that are distributed across three possible states, we consider the problem in which these players have to control their transition rates, following some optimality criteria. The optimal transition rates are based on the players' knowledge of their current state and of the distribution of all the other players, thus introducing mean-field terms in the running and the terminal cost. The first contribution is a mean-field model that takes into account the macroscopic and the microscopic dynamics. The second contribution is the study of the mean-field equilibrium resulting from solving the initial-terminal value problem, involving the Kolmogorov equat…

Lyapunov function0209 industrial biotechnologyMathematical optimization010102 general mathematicsMarkov processContext (language use)02 engineering and technology01 natural sciencesTerminal valueNonlinear systemsymbols.namesake020901 industrial engineering & automationStability theoryKolmogorov equationssymbolsGames Mathematical model Markov processes Sociology Statistics Microscopy RobustnessApplied mathematicsLimit (mathematics)0101 mathematicsSettore MAT/09 - Ricerca OperativaMathematics
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Neural Petri Control: an application on a mobile robot

2006

In the present work, an innovative nonlinear controller of nonholonomic mechanical systems, characterized by a dynamic not well known model a priori, using a new neural model obtained by the combination of a Petri net with a neural network, is proposed. The performances of the control algorithm are evaluated for tasks of tracking of time trajectories. The study of the stability of the total system to closed loop is based on the Lyapunov theory. Simulation experiments, made taking into consideration a nonholonomic mobile robot, to two wheels, allowed to verify the theoretical results.

Lyapunov functionArtificial neural networkComputer scienceStability (learning theory)Mobile robotControl engineeringPetri netsFuzzy systemsPetri netfuzzy reasoningComputer Science::Roboticssymbols.namesakeNonlinear systemControl theorysymbolsNonholonomic mobile robot
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Observer-based H∞ control on stochastic nonlinear systems with time-delay and actuator nonlinearity

2013

Abstract In this paper, an observer-based H ∞ controller is designed for a class of extended Markov jump systems subject to time-delay and actuator saturation nonlinearity. Gradient linearization procedure is employed to describe such nonlinear systems by several linear Markov jump systems. Next, a mode-dependent Lyapunov function is constructed for these linear systems, and a sufficient condition is derived to make them stochastically stable, and then, a continuous gain-scheduled approach is applied to design a continuous nonlinear observer-based controller on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

Lyapunov functionDiscrete systemObserver (quantum physics)Computer Networks and CommunicationsApplied MathematicsLinear systemtime-delay systemH infinite controlsymbols.namesakeNonlinear systemControl and Systems EngineeringLinearizationControl theorySignal ProcessingsymbolsJumpsaturating controlActuatordisturbance-observer-based controlMathematics
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Control of uncertain highly nonlinear biological process based on Takagi–Sugeno fuzzy models

2015

This note deals with the control of uncertain highly nonlinear biological processes. Indeed, an adaptive fuzzy control (AFC) scheme is developed for the pre-treatment of wastewater represented by a Takagi-Sugeno (TS) fuzzy model. The proposed approach uses a fuzzy system to approximate the unknown substrate consumption rate in designing the adaptive controller, and then an observer is designed to estimate the concentration in substrate at the outlet bioreactor. The observer is employed to generate an error signal for the adaptive control law which permits to minimize the influence of the measurement noise on the estimation of the substrate concentration. An update of the fuzzy models parame…

Lyapunov functionMathematical optimizationAdaptive neuro fuzzy inference systemEngineeringAdaptive controlObserver (quantum physics)business.industryFuzzy control systemFuzzy logicNonlinear systemsymbols.namesakeControl and Systems EngineeringControl theorySignal ProcessingsymbolsComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringbusinessSoftwareSignal Processing
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