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Mean-Square Strong Stability and Stabilization of Discrete-Time Markov Jump Systems with Multiplicative Noises
Published 2022-03-01Subjects: Get full text
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Imposing jump conditions on nonconforming interfaces for the Correction Function Method: A least squares approach
Published 2020“…A key concept behind the CFM is enforcing the jump conditions in a least squares sense. This concept requires computing integrals over sections of the interface, which is a challenge in 3-D when only an implicit representation of the interface is available (e.g., the zero contour of a level set function). …”
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3
Mean-square Stability and Convergence of Compensated Split-Step $theta$-method for Nonlinear Jump Diffusion Systems
Published 2021-03-01Subjects: Get full text
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4
Indefinite Linear-Quadratic Stochastic Control Problem for Jump-Diffusion Models with Random Coefficients: A Completion of Squares Approach
Published 2021-11-01Subjects: “…stochastic systems with jump diffusions and random coefficients…”
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Mean-square consensus of a semi-Markov jump multi-agent system based on event-triggered stochastic sampling
Published 2023-06-01“…This paper focuses on achieving leader-follower mean square consensus in semi-Markov jump multi-agent systems. …”
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Improved robust H∞ exponential mean square stabilization for uncertain Markov jump delay systems based on memory‐state feedback control
Published 2021-03-01“…Abstract This paper investigates the problem of robust H∞ exponential mean square stabilisation for uncertain Markov jump systems with time‐varying and mode‐dependent delays based on memory‐state feedback control. …”
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7
Quantitative Mean Square Exponential Stability and Stabilization of Linear Itô Stochastic Markovian Jump Systems Driven by Both Brownian and Poisson Noises
Published 2022-07-01Subjects: “…Markovian jump systems…”
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Change Detection within Remotely Sensed Satellite Image Time Series via Spectral Analysis
Published 2020-12-01Subjects: Get full text
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Sign-stability of Positive Markov Jump Linear Systems
Published 2021“…© 2019 Elsevier Ltd This paper investigates stability of Positive Markov Jump Linear Systems (PMJLSs) in the absence of a numerical realization. …”
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Transport in disordered systems: The single big jump approach
Published 2019-12-01“…Here we analyze the plume of particles lagging far behind the mean, with the single big jump principle. Revealing the mechanism of the anomaly, we show how a single trapping time, the largest one, is responsible for the rare fluctuations in the system. …”
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Effects of wearable therapies on jump performance in sport horses
Published 2023-09-01“…The purpose of this study was to evaluate the effects of ceramic boots, boots combining vibration and cryotherapy, and boots containing tourmaline on the performance of sport horses during jumping as well as to examine changes in vital signs in response to treatment.MethodsEight healthy horses received the 3 therapeutic boot treatments or a control (no boot) in a Latin square experiment for a period of 5 days each. …”
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Application Research of DV-HOP Wireless Sensor Localization System Based on Geometric Constraint Optimization
Published 2024-01-01Subjects: “…Distance vector jump algorithm…”
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Iterative algorithms for state estimation of jump Markov linear systems
Published 2001“…Jump Markov linear systems (JMLS) are linear systems whose parameters evolve with time according to a finite state Markov chain. …”
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Energy dissipation in hydraulic jumps using triple screen layers
Published 2022-11-01“…The shapes of openings for each layer of screens were either circular, square or triangular. Every layer of the screen had a porosity of 45% per unit depth of the screen. …”
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Well-Posedness of Backward Stochastic Differential Equations with Jumps and Irregular Coefficients
Published 2023-12-01“…In this paper, we focus on investigating the well-posedness of backward stochastic differential equations with jumps (BSDEJs) driven by irregular coefficients. …”
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Horse Jumping and Dressage Training Activity Detection Using Accelerometer Data
Published 2021-10-01“…To this end, we collected leg accelerometer data of 14 well-trained horses during jumping and dressage trainings. For the first time, 6 jumping training and 25 advanced horse dressage activities are classified using specifically developed models based on a neural network. …”
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The effects of different vertical jump height on electromyographic, kinematic and kinetic variables
Published 2022-01-01“…For the analysis of electromyographic data, the value of root mean square analysis was used separately for the amortization phase and the jump phase, for the following muscles: m. gluteus maximus (GlutM), m. rectus femoris (RF), m. biceps femoris (BF), m. vastus lateralis (VL), m. tibialis anterior (TA) and m. gastrocnemius medialis(GastM).Kinematic and kinetic variableswere monitored: vertical center of mass displacement in the amortization phase [m], the center of mass height at take-off point [m], jump height [m], jump speed [m/s], angular displacement in the ankle, knee and hip joint [rad], maximal vertical ground reaction force [N/ kg], vertical stiffness [kN/m/kg], the torque of the ankle, knee and hip joint [Nm/kg]. …”
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From birds to bacteria: generalised velocity jump processes with resting states
Published 2015Journal article -
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A Correction Function Method for Poisson problems with interface jump conditions
Published 2015“…In this paper we present a method to treat interface jump conditions for constant coefficients Poisson problems that allows the use of standard “black box” solvers, without compromising accuracy. …”
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