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相关论文: The parameterization method for center manifolds

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We present a new solution for fundamental problems in nonlinear dynamical systems: finding, verifying, and stabilizing cycles. The solution we propose consists of a new control method based on mixing previous states of the system (or the…

动力系统 · 数学 2017-12-19 D. Dmitrishin , I. E. Iacob , I. Skrinnik , A. Stokolos

A general formalism is developed for constructing modified Hamiltonian dynamical systems which preserve a canonical equilibrium distribution by adding a time evolution equation for a single additional thermostat variable. When such systems…

统计力学 · 物理学 2015-12-09 John D. Ramshaw

Ordinary differential equation models are nowadays widely used for the mechanistic description of biological processes and their temporal evolution. These models typically have many unknown and non-measurable parameters, which have to be…

定量方法 · 定量生物学 2021-05-27 Alejandro F. Villaverde , Dilan Pathirana , Fabian Fröhlich , Jan Hasenauer , Julio R. Banga

This paper contributes with a new formal method of spatial discretization of a class of nonlinear distributed parameter systems that allow a port-Hamiltonian representation over a one dimensional manifold. A specific finite dimensional…

数值分析 · 数学 2021-04-23 B. C. van Huijgevoort , S. Weiland , H. J. Zwart

This paper extends the deterministic Lyapunov-based stabilization framework to random hyperbolic systems of conservation laws, where uncertainties arise in boundary controls and initial data. Building on the finite volume discretization…

数值分析 · 数学 2025-10-10 Shaoshuai Chu , Michael Herty , Alexander Kurganov

I previously used Burgers' equation to introduce a new method of numerical discretisation of \pde{}s. The analysis is based upon centre manifold theory so we are assured that the discretisation accurately models all the processes and their…

数值分析 · 数学 2025-10-20 A. J. Roberts

We consider a dynamic method, based on synchronization and adaptive control, to estimate unknown parameters of a nonlinear dynamical system from a given scalar chaotic time series. We present an important extension of the method when time…

混沌动力学 · 物理学 2009-10-31 Anil Maybhate , R. E. Amritkar

We explore probability modelling of discretization uncertainty for system states defined implicitly by ordinary or partial differential equations. Accounting for this uncertainty can avoid posterior under-coverage when likelihoods are…

统计方法学 · 统计学 2016-10-25 Oksana A. Chkrebtii , David A. Campbell , Ben Calderhead , Mark A. Girolami

In this paper a novel computational technique for finite discrete approximation of continuous dynamical systems suitable for a significant class of biochemical dynamical systems is introduced. The method is parameterized in order to affect…

系统与控制 · 计算机科学 2011-08-01 Lubos Brim , Jana Fabrikova , Sven Drazan , David Safranek

Motivated by the study of conditional stability of traveling waves, we give an elementary $H^2$ center stable manifold construction for quasilinear parabolic PDE, sidestepping apparently delicate regularity issues by the combination of a…

偏微分方程分析 · 数学 2009-01-13 Kevin Zumbrun

In this work we propose a new kind of parameterized outer estimate of the united solution set to an interval parametric linear system. The new method has several advantages compared to the methods obtaining parameterized solutions…

数值分析 · 数学 2020-04-02 Evgenija D. Popova

A general approach to provide approximate parameterizations of the "small" scales by the "large" ones, is developed for stochastic partial differential equations driven by linear multiplicative noise. This is accomplished via the concept of…

偏微分方程分析 · 数学 2013-10-16 Mickael D. Chekroun , Honghu Liu , Shouhong Wang

Numerical models based on partial differential equations (PDE), or integro-differential equations, are ubiquitous in engineering and science, making it possible to understand or design systems for which physical experiments would be…

计算物理 · 物理学 2021-04-02 Julien Bect , Souleymane Zio , Guillaume Perrin , Claire Cannamela , Emmanuel Vazquez

This work is devoted to modelling and identification of the dynamics of the inter-sectoral balance of a macroeconomic system. An approach to the problem of specification and identification of a weakly formalized dynamical system is…

动力系统 · 数学 2019-08-14 Olena Kostylenko , Helena Sofia Rodrigues , Delfim F. M. Torres

This paper introduces an algorithmic approach to the analysis of bifurcation of limit cycles from the centers of nonlinear continuous differential systems via the averaging method. We develop three algorithms to implement the averaging…

符号计算 · 计算机科学 2019-05-10 Bo Huang , Chee Yap

H. Furstenberg introduced the notion of central set in terms of topological dynamics and established the central set theorem. The essence of central set theorem is that it is the simultaneous extension of van der Waerden's theorem and…

组合数学 · 数学 2020-02-05 Sayan Goswami

In this paper, a generalization of a quadratic manifold approach for the reduction of geometrically nonlinear structural dynamics problems is presented. This generalization is constructed by a linearization of the static force with respect…

计算工程、金融与科学 · 计算机科学 2017-12-06 J. B. Rutzmoser , D. J. Rixen , P. Tiso , S. Jain

We present a general approach to establish the Central Limit Theorem with error bounds for sequential dynamical systems. The main tool we develop is the application to this setting of a projective metric on complex cones, following the…

动力系统 · 数学 2025-07-21 Mark F. Demers , Carlangelo Liverani

In this paper we discuss a new discretization for the Biot equations. The discretization treats the coupled system of deformation and flow directly, as opposed to combining discretizations for the two separate sub-problems. The coupled…

数值分析 · 数学 2017-05-19 Jan Martin Nordbotten

We propose a technique for the design and analysis of adaptation algorithms in dynamical systems. The technique applies both to systems with conventional Lyapunov-stable target dynamics and to ones of which the desired dynamics around the…

最优化与控制 · 数学 2007-05-23 Tyukin Ivan , Danil Prokhorov , Cees van Leeuwen