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continuous time stochastic system

A Simple And Novel Algorithm For State Estimation Of Continuous Time Linear Stochastic Dynamic Systems Excited By Random Inputs

A Simple And Novel Algorithm For State Estimation Of Continuous Time Linear Stochastic Dynamic Systems Excited By Random Inputs

... To overcome this issue, we have proposed a novel and simple algorithm for continuous time linear dynamics system. The results show that under excited random inputs case our algorithm performs better ...

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CellLab-CTS 2015: continuous-time stochastic cellular automaton modeling using Landlab

CellLab-CTS 2015: continuous-time stochastic cellular automaton modeling using Landlab

... the system and its potential spatial outcomes and ...the system at a certain time can only be predicted by simulating the evolution of states through ...

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Stabilization of continuous-time hybrid stochastic differential equations by discrete-time feedback control

Stabilization of continuous-time hybrid stochastic differential equations by discrete-time feedback control

... valued and, in practice, some of its components are set to be zero if the corresponding components of dx(t) are not affected by u. Such a continuous-time feedback con- trol requires continuous ...

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Continuous time stochastic analysis of optimal experimentation and of derivative asset pricing

Continuous time stochastic analysis of optimal experimentation and of derivative asset pricing

... C hapter 2 of the thesis critically reviews the so-called direct approach to debt option pricing which attem pts to extend the Black-Scholes framework to the valuation of options on bonds. In fact, the valuation of these ...

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Stability analysis for continuous-time switched systems with stochastic switching signals

Stability analysis for continuous-time switched systems with stochastic switching signals

... switched system might be ...active time for stable subsystems should be ensured to exceed a threshold such that unstable subsystems can be compensated by stable ...sojourn time for each subsystem is ...

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Identification of Continuous-Time Hammerstein Systems by Simultaneous Perturbation Stochastic Approximation

Identification of Continuous-Time Hammerstein Systems by Simultaneous Perturbation Stochastic Approximation

... The modelling of real-world plants and processes, which are non- linear in nature, remains a challenging problem. Both an expert and intelligent systems are therefore required to model accurately such plants and ...

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Global Asymptotical Stability in a Stochastic Predator-Prey System With Variable Delays

Global Asymptotical Stability in a Stochastic Predator-Prey System With Variable Delays

... finite time) for any given initial value, the coefficients of the equation are generally required to satisfy the linear growth condition and local Lipschitz condition, see ...finite time. For convenience of ...

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Estimation for Parameters in Partially Observed Linear Stochastic System

Estimation for Parameters in Partially Observed Linear Stochastic System

... Recently, stochastic differential equations have been applied to describe the dynamics of a financial asset, asset portfolio and term structure of interest rates, such as the popular Black-Scholes option pricing ...

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A parallel Matlab package for approximating the solution to a continuous time stochastic optimal control problem

A parallel Matlab package for approximating the solution to a continuous time stochastic optimal control problem

... of continuous-time, continuous-state control rules from the SOCSol ...the continuous system using such a control rule (also derived from the SOCSol ...the continuous ...

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Parameter Estimation for the Continuous Time Stochastic Logistic Diffusion Model

Parameter Estimation for the Continuous Time Stochastic Logistic Diffusion Model

... nuous time stochastic logistic diffusion system. A new continuous process is built based on the likelihood ratio scheme, the Radon-Nikodym derivative and the explicit expressions of the error ...

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Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon

Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon

... for stochastic systems, which means the optimal preview controller of the original stochastic system is ...a system, when the integrator approaches zero at infinity, the error also approaches ...

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Uncertainty propagation and quantification in a continuous time dynamical system

Uncertainty propagation and quantification in a continuous time dynamical system

... methods, stochastic Galerkin methods and probabilistic collocation methods (also called stochastic collocation ...space). Stochastic Galerkin methods are based on (generalized) poly- nomial chaos ...

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Forecasting Of the Electricity Demand in Libya Using Time Series Stochastic Method for Long-Term From 2011-2022.

Forecasting Of the Electricity Demand in Libya Using Time Series Stochastic Method for Long-Term From 2011-2022.

... a time Series Stochastic ...of stochastic time series forecasting based on data from 2000- 2010 and Mathematical analysis indicated a continuous growth of demand for oil and electricity ...

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Fraud Prevention using Automated Audit Systems: A Strategic Imperative

Fraud Prevention using Automated Audit Systems: A Strategic Imperative

... processing system. We have used a stochastic model to look at the behavior and of the system and used game theory for modeling the expected behavior of a ...transaction system, even when a ...

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Controlled continuous time random walks and their position dependent extensions

Controlled continuous time random walks and their position dependent extensions

... on stochastic optimal control models such that the dynamics of the con- trolled system is a Continuous Time Random Walk (CTRW) with waiting times that have non-exponential ...

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Exponential Ergodicity and β Mixing Property for Generalized Ornstein Uhlenbeck Processes

Exponential Ergodicity and β Mixing Property for Generalized Ornstein Uhlenbeck Processes

... Many continuous time processes are suggested and stud- ied as a natural continuous time generalization of a ran- dom recurrence equation, for example, diffusion model of Nelson [2], ...

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The optimal sampling point for the quality assessment of continuous streams

The optimal sampling point for the quality assessment of continuous streams

... Key words: Varying flow rate; linear and exponential variograms; estimation error variance; optimal sampling point; continuous time stochastic process.. Introduction.[r] ...

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Online Full Text

Online Full Text

... articulation system in an efficient way. The total system under consideration is supposed to consist of the muscle dynamics in cascade with suitable compensator operated in the closed loop manner with unity ...

5

Markov renewal theory applied to performability evaluation

Markov renewal theory applied to performability evaluation

... for analyzing the performance and reliability of systems. The analyti- cal/numerical solution of such models proceeds by utilizing mathemati- cal engines based upon the underlying stochastic processes of each ...

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Stochastic differential equation for two-phase growth model

Stochastic differential equation for two-phase growth model

... Faddy [4] proposed a simple two-phase population growth model to pure death process in stochastic model. Ross and Pollett [6] developed a two-phase population growth model using control regime, while Zheng [11] ...

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