Search results for "dynamical system"

showing 10 items of 523 documents

Principal Poincar\'e Pontryagin Function associated to some families of Morse real polynomials

2014

It is known that the Principal Poincar\'e Pontryagin Function is generically an Abelian integral. We give a sufficient condition on monodromy to ensure that it is an Abelian integral also in non generic cases. In non generic cases it is an iterated integral. Uribe [17, 18] gives in a special case a precise description of the Principal Poincar\'e Pontryagin Function, an iterated integral of length at most 2, involving logarithmic functions with only one ramification at a point at infinity. We extend this result to some non isodromic families of real Morse polynomials.

Abelian integralPure mathematicsLogarithmApplied Mathematics34M35 34C08 14D05General Physics and AstronomyStatistical and Nonlinear PhysicsMorse codelaw.inventionPontryagin's minimum principlesymbols.namesakeMonodromylawPoincaré conjecturesymbolsPoint at infinitySpecial caseMathematics - Dynamical SystemsMathematical PhysicsMathematics
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Modelling temperature-dependent dynamics of single and mixed infections in a plant virus

2022

Multiple viral infection is an important issue in health and agriculture with strong impacts on society and the economy. Several investigations have dealt with the population dynamics of viruses with different dynamic properties, focusing on strain competition during multiple infections and the effects on viruses’ hosts. Recent interest has been on how multiple infections respond to abiotic factors such as temperature (T). This is especially important in the case of plant pathogens, whose dynamics could be affected significantly by global warming. However, few mathematical models incorporate the effect of T on parasite fitness, especially in mixed infections. Here, we investigate simple mat…

Abiotic componenteducation.field_of_studybiologyMathematical modelCo-infection dynamicsApplied Mathematicsmedia_common.quotation_subjectPopulationTranscritical bifurcationsRNA virusAbiotic stressbiology.organism_classificationCompetition (biology)BifurcationsCompetition modelTranscritical bifurcationThermal reaction normsEvolutionary biologyNonlinear dynamicsModeling and SimulationPlant virusDynamical systemseducationmedia_commonApplied Mathematical Modelling
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Control of irregular cardiac rhythm

2018

International audience; The aim of this work is to investigate the chaos control of the one di- mensional map which modelizes the duration of the current cardiac action potential (APD) as a function of the previous one. Using OGY control method, we obtain very satisfactory numerical results to stabilize the irregular heart rhythm into the normal rhythm.

Action Potential Duration (APD)chaos[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemequilibrium point[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemnormal rhythmirregular heart rhythm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingcontrol[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Lag-specific transfer entropy as a tool to assess cardiovascular and cardiorespiratory information transfer

2014

In the study of interacting physiological systems, model-free tools for time series analysis are fundamental to provide a proper description of how the coupling among systems arises from the multiple involved regulatory mechanisms. This study presents an approach which evaluates direction, magnitude, and exact timing of the information transfer between two time series belonging to a multivariate dataset. The approach performs a decomposition of the well-known transfer entropy (TE) which achieves 1) identifying, according to a lag-specific information-theoretic formulation of the concept of Granger causality, the set of time lags associated with significant information transfer, and 2) assig…

AdultMaleInformation transferMultivariate statisticsDynamical systems theoryDatabases FactualComputer sciencePhysiologyEntropyBiomedical EngineeringBlood Pressuredynamical systemYoung AdultGranger causalityControl theoryHumansAutonomic nervous systemmultivariate time serieTime seriesmutual informationcardiovascular controlconditional entropy (CE)RespirationModels CardiovascularComputational BiologyHeartMutual informationCausalityNonlinear systemSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityTransfer entropy
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O* - Dynamical Systems and * - Derivations of Unbounded Operator Algebras

1999

A spatial theory is developed for * - derivations of an algebra of unbounded operators, in terms of the concept of O*-dynamical systems. Three notions of spatiality emerge, depending on the nature of the corresponding generator. Special emphasis is put on O*-dynamical systems generated by one-parameter groups of *-automorphisms and their *-derivations.

AlgebraUnbounded operatorPure mathematicsSpatial theoryDynamical systems theoryGeneral MathematicsAlgebra over a fieldGenerator (mathematics)MathematicsMathematische Nachrichten
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Perturbations of the derivative along periodic orbits

2006

International audience; We show that a periodic orbit of large period of a diffeomorphism or flow, either admits a dominated splitting of a prescribed strength, or can be turned into a sink or a source by a C1-small perturbation along the orbit. As a consequence we show that the linear Poincaré flow of a C1-vector field admits a dominated splitting over any robustly transitive set.

Applied MathematicsGeneral Mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]010102 general mathematicsMathematical analysis[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Transitive set16. Peace & justice01 natural sciences37D30 (34C25 34D10 37C05 37C10 37C27)010101 applied mathematicsPeriodic orbitsVector fieldDiffeomorphism0101 mathematicsMathematics
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Normal forms of hyperbolic logarithmic transseries

2021

We find the normal forms of hyperbolic logarithmic transseries with respect to parabolic logarithmic normalizing changes of variables. We provide a necessary and sufficient condition on such transseries for the normal form to be linear. The normalizing transformations are obtained via fixed point theorems, and are given algorithmically, as limits of Picard sequences in appropriate topologies.

Applied MathematicsMathematics::History and OverviewFOS: Mathematicsfixed point theory ; formal normal forms ; hyperbolic fixed point ; Koenigs sequence ; linearization ; logarithmic transseries[MATH] Mathematics [math]Dynamical Systems (math.DS)Mathematics - Dynamical Systems[MATH]Mathematics [math]34C20 37C25 47H10 39B12 46A19 26A12 12J15AnalysisJournal of Differential Equations
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A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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Reduced complexity models in the identification of dynamical networks: Links with sparsification problems

2009

In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be found in fields as diverse as Economics, Neuroscience and Biochemistry. The paper deals with the problem of deriving a descriptive model of a network, collecting the node outputs as time series with no use of a priori insight on the topology. We cast the problem as the optimization of a cost function operating a trade-off between accuracy and complexity in the final model. We address the problem of reducing the complexity by fixing a certain degree of sparsity, and trying to find the solution that “better” satisfi…

Approximation theoryMathematical optimizationSettore ING-INF/04 - AutomaticaDynamical systems theoryComputational complexity theoryNode (networking)A priori and a posteriorisparsification compressing sensing estimation networksNetwork topologyGreedy algorithmTopology (chemistry)MathematicsProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
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Mathematical Modeling, Analysis, and Advanced Control of Complex Dynamical Systems

2014

1 School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia 2 Department of Engineering, Faculty of Technology and Science, University of Agder, 4898 Grimstad, Norway 3 College of Automation, Chongqing University, Chongqing 400044, China 4 School of Control Science and Engineering, Shandong University, Jinan 250061, China 5 College of Automation, Harbin Engineering University, Harbin 150001, China

Article SubjectDynamical systems theorybusiness.industryComputer sciencelcsh:MathematicsGeneral MathematicsVDP::Technology: 500::Mechanical engineering: 570Control (management)General Engineeringlcsh:QA1-939AutomationEngineering managementEngineering (all)lcsh:TA1-2040Mathematics (all)Applied mathematicslcsh:Engineering (General). Civil engineering (General)ChinabusinessMathematics (all); Engineering (all)Mathematical Problems in Engineering
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