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281
Dynamics of a brake system governed by modified Burridge-Knopoff-Pad model
Published 2025-02-01“…Result of numerical simulations clearly underscores the displacement and velocity profiles of the block-pad brake dynamical system.…”
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282
Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays
Published 2017-01-01“…Our methodology estimates correctly the delay parameters as well as other unknown parameters (such as the initial starting values) of the dynamical system based on simulation data. We also develop methodology to compute the information matrix and confidence intervals for all unknown parameters based on the likelihood inferential framework. …”
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283
Comparing Two Strategies to Model Uncertainties in Structural Dynamics
Published 2010-01-01“…In the modeling of dynamical systems, uncertainties are present and they must be taken into account to improve the prediction of the models. …”
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284
Analysis Approximate with Using Sumudu Adomian Decomposition Method for Solving SEIVR Epidemic Model
Published 2025-02-01“…This model is a continuous dynamical system where the derivative is in fractional form. …”
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285
A TB model: Is disease eradication possible in India?
Published 2018-01-01“…We developed a simple model of TB transmission dynamics, using a dynamical system model, consisting of six classes of individuals. …”
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286
Invariant Measures Based on the U-Correlation Integral: An Application to the Study of Human Voice
Published 2018-01-01“…From these results, we can conclude that the voice production dynamical system is more complex in the presence of a pathology. …”
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287
Network Firewall Dynamics and the Subsaturation Stabilization of HIV
Published 2013-01-01“…We compute this new measure across simulated trajectories of a stochastic discrete dynamical system that models a social network of 25,000 individuals engaging in risk acts over a period of 15 years. …”
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288
From the Guest Editors
Published 2005-10-01“…Hence, it is not surprising to see his shift from an outstanding contributor to the field of dynamical systems to a pioneer in the field of mathematical biology. …”
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289
Neuronal Ensemble Decoding Using a Dynamical Maximum Entropy Model
Published 2014-01-01“…This decoder blends a dynamical system model of neural networks into the maximum entropy model to better suit for nonstationary circumstances. …”
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290
Effect of Intervention of Vaccination and Treatment on the Transmission Dynamics of HBV Disease: A Mathematical Model Analysis
Published 2022-01-01“…We proved that the solution of the considered dynamical system is positive and bounded. The model is studied qualitatively using the stability theory of differential equations and the effective reproductive number which represents the epidemic indicator is obtained from the largest eigenvalue of the next-generation matrix. …”
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291
Analysis of Prey-Predator Scheme in Conjunction with Help and Gestation Delay
Published 2024-01-01“…This paper presents a three-dimensional continuous time dynamical system of three species, two of which are competing preys and one is a predator. …”
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292
ANALYTICAL SYNTHESIS OF FORCED PULSE ELECTRONIC DRIVE CONTROL OF A TRACKING SYSTEM
Published 2018-02-01“…The problem of analytical synthesis of a control signal by a linear dynamical system is considered. As an optimization criterion, it is proposed to consider the transition time of the system from the initial state to a given final state. …”
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293
Quantum-Ordering Ambiguities in Weak Chern—Simons 4D Gravity and Metastability of the Condensate-Induced Inflation
Published 2025-01-01“…On matching our results with the inflationary phenomenology, we fix the quantum-ordering ambiguities, and obtain an order-of-magnitude constraint on the String-Mass-Scale-to-Planck-Mass ratio, consistent with previous estimates by the authors in the framework of a dynamical-system approach to linear-axion RVM inflation. …”
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294
A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator
Published 2025-03-01“…Identifying the optimal hyper-parameters of DRL using the grid search method, we exploit the capability of CNN in actor-critic architecture to extract the spatial dependencies in the state sequences of the dynamical system and boost the DRL performance. To improve the convergence of the proposed DRL algorithm, this study adopts the Lyapunov based reward shaping technique. …”
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295
A quantitative analysis of Koopman operator methods for system identification and predictions
Published 2022-12-01“…We give convergence and cost estimates for a data-driven system identification method: given an unknown dynamical system, the aim is to recover its vector field and its flow from trajectory data. …”
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296
Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing
Published 2025-01-01“…For higher-dimensional problems, the convergence can be tested simulatively for the specific dynamical system. A detailed evaluation of various simulation scenarios is presented, demonstrating the accuracy and robustness of the proposed method.…”
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297
Predicting Tipping Points in a Family of PWL Systems: Detecting Multistability via Linear Operators Properties
Published 2024-06-01“…The study of dynamical systems is based on the solution of differential equations that may exhibit various behaviors, such as fixed points, limit cycles, periodic, quasi-periodic attractors, chaotic behavior, and coexistence of attractors, to name a few. …”
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298
Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105
Published 2025-01-01“…We find signs of determinism in IGR J17091–3624, thus supporting the hypothesis of it being similar to GRS 1915+105, even as a dynamical system. Our findings not only shed light on the complex nature of IGR J17091–3624 but also pave the way for future research employing noise-reduction techniques to analyze nonlinearity in observed dynamical systems.…”
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299
A statistical approach to the use of control entropy identifies differences in constraints of gait in highly trained versus untrained runners
Published 2011-11-01“…Control entropy (CE) is a complexity analysis suitable fordynamic, non-stationary conditions which allows the inference of the control effort of a dynamical system generating the signal [4]. These characteristics make CE a highly relevant time varying quantity relevant to the dynamic physiological responses associated with running. …”
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300
Principal component analysis and its generalizations for any type of sequence (PCA-Seq)
Published 2020-01-01“…By the beginning of the 1980s, Takens had shown that for a dynamical system such a method makes it possible to obtain an attractor from observing only one of these variables, thereby bringing the method to a powerful theoretical basis. …”
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