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200 篇论文

We tackle the problem of system identification, where we select inputs, observe the corresponding outputs from the true system, and optimize the parameters of our model to best fit the data. We propose a practical and computationally…

系统与控制 · 电气工程与系统科学 2025-10-02 Alexandros E. Tzikas , Mykel J. Kochenderfer

In this paper we present an approach in which synchronization of chaos is used to address identification problems. In particular, we are able to identify: (i) the discontinuity points of systems described by piecewise dynamical equations…

数学物理 · 物理学 2015-05-14 Francesco Sorrentino

This paper investigates two issues on identification of switched linear systems: persistence of excitation and numerical algorithms. The main contribution is a much weaker condition on the regressor to be persistently exciting that…

系统与控制 · 电气工程与系统科学 2021-12-07 Biqiang Mu , Tianshi Chen , Changming Cheng , Er-Wei Bai

This paper proposes a unified approach for studying global exponential stability of a general class of switched systems described by time-varying nonlinear functional differential equations. Some new delay-independent criteria of global…

动力系统 · 数学 2021-09-16 Nguyen Khoa Son , Le Van Ngoc

We present two approaches to system identification, i.e. the identification of partial differential equations (PDEs) from measurement data. The first is a regression-based Variational System Identification procedure that is advantageous in…

计算物理 · 物理学 2024-03-28 Zhenlin Wang , Bowei Wu , Krishna Garikipati , Xun Huan

Bilinear dynamical systems are ubiquitous in many different domains and they can also be used to approximate more general control-affine systems. This motivates the problem of learning bilinear systems from a single trajectory of the…

机器学习 · 计算机科学 2022-08-31 Yahya Sattar , Samet Oymak , Necmiye Ozay

Hybrid numerical-experimental testing is a standard approach for complex dynamical structures that are, on the one hand, not easy to model due to complexity and parameter uncertainty and, on the other hand, too expensive for full-scale…

动力系统 · 数学 2020-03-24 Benjamin Unger

The paper concerns a class of $n$-dimensional non-autonomous delay differential equations obtained by adding a non-monotone delayed perturbation to a linear homogeneous cooperative system of ordinary differential equations. This family…

经典分析与常微分方程 · 数学 2018-07-10 Teresa Faria , Rafael Obaya , Ana M. Sanz

We consider the modeling, stability analysis and controller design problems for discrete-time LTI systems with state feedback, when the actuation signal is subject to switching propagation delays, due to e.g. the routing in a multi-hop…

最优化与控制 · 数学 2014-01-09 R. M. Jungers , A. D'Innocenzo , M. D. Di Benedetto

For the first time, using a modified Ikeda model it is demonstrated analytically that anticipating synchronization can be obtained in chaotic time-delay systems governed by two characteristic delay times. We derive existence and stability…

混沌动力学 · 物理学 2007-05-23 E. M. Shahverdiev , S. Sivaprakasam , K. A. Shore

This paper presents three main contributions to the field of multi-step system identification. First, drawing inspiration from Neural Network (NN) training, it introduces a tool for solving identification problems by leveraging first-order…

系统与控制 · 电气工程与系统科学 2025-02-17 Cesare Donati , Martina Mammarella , Fabrizio Dabbene , Carlo Novara , Constantino Lagoa

In this paper, we consider a class of linear boundary systems with delays in state, input and boundary output. We prove the well-posedness and derive some spectral properties of linear system with delayed boundary feedback under some…

偏微分方程分析 · 数学 2015-10-05 Zhan-Dong Mei , Ji-Gen Peng

Latent class models have wide applications in social and biological sciences. In many applications, pre-specified restrictions are imposed on the parameter space of latent class models, through a design matrix, to reflect practitioners'…

统计理论 · 数学 2019-06-03 Yuqi Gu , Gongjun Xu

Stochasticity plays a key role in many biological systems, necessitating the calibration of stochastic mathematical models to interpret associated data. For model parameters to be estimated reliably, it is typically the case that they must…

统计方法学 · 统计学 2025-12-11 Alexander P Browning , Michael J Chappell , Hamid Rahkooy , Torkel E Loman , Ruth E Baker

Machine learning (ML) and deep learning models are extensively used for parameter optimization and regression problems. However, not all inverse problems in ML are ``identifiable,'' indicating that model parameters may not be uniquely…

机器学习 · 计算机科学 2023-07-24 Reza Sameni

Dynamical systems with complex delayed interactions arise commonly when propagation times are significant, yielding complicated oscillatory instabilities. In this Letter, we introduce a class of systems with multiple, hierarchically long…

斑图形成与孤子 · 物理学 2015-06-19 Serhiy Yanchuk , Giovanni Giacomelli

In the present work, a simple algorithm for stabilizing an unknown linear time-invariant system is proposed, assuming only that this system is stabilizable. The suggested algorithm is based on first performing a partial identification of…

最优化与控制 · 数学 2022-11-14 Dennis Gramlich , Christian Ebenbauer

Stability of the zero solution plays an important role in the investigation of positive systems. In this note, we revisit the $\mu$-stability of positive nonlinear systems with unbounded time-varying delays. The system is modelled by…

动力系统 · 数学 2015-05-29 xiwei Liu , Tianping Chen

In parametric, nonlinear structural models a classical sufficient condition for local identification, like Fisher (1966) and Rothenberg (1971), is that the vector of moment conditions is differentiable at the true parameter with full rank…

统计理论 · 数学 2023-08-28 Xiaohong Chen , Victor Chernozhukov , Sokbae Lee , Whitney K. Newey

We introduce a framework for the description of a large class of delay-differential algebraic systems, in which we study three core problems: first we characterize abstractly the well-posedness of the initial-value problem, then we design a…

动力系统 · 数学 2017-07-11 Sébastien Boisgérault