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discrete-time dynamic system

Dynamic behaviors of a discrete time predator–prey bioeconomic system

Dynamic behaviors of a discrete time predator–prey bioeconomic system

... the dynamic behaviors of a discrete- time economic predator–prey ...interesting dynamic behaviors, as we see in ...mentioned discrete singular system in the next ...proposed ...

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Identification of discrete-time dynamic systems using modified genetic algorithm

Identification of discrete-time dynamic systems using modified genetic algorithm

... In system identification, a model representation is defined to emulate the performance o f the system to be ...model, discrete model, parametric and nonparametric models and ...the system will ...

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Complex dynamic behavior of a discrete time predator prey system of Holling III type

Complex dynamic behavior of a discrete time predator prey system of Holling III type

... lation for the positive fixed point of system (), the Neimark-Sacker bifurcation emerges from the fixed point (, ) at r = . From Figure (a) and (b), we observe that the fixed point of map () is stable for r ...

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Optimal Harvesting Policy of Discrete-Time Predator-Prey Dynamic System with Holling Type-IV Functional Response and Its Simulation

Optimal Harvesting Policy of Discrete-Time Predator-Prey Dynamic System with Holling Type-IV Functional Response and Its Simulation

... predator-prey system, and the optimal harvesting policy applied to the development and utilization of resources and the protection of species [2-4] ...proper time [5] ...

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Exponentially practical stability of impulsive discrete time system with delay

Exponentially practical stability of impulsive discrete time system with delay

... impulsive discrete time system with ...studied discrete time delayed dynamic systems with impulsive ...impulsive discrete time system with delay have been ...

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The Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete Time

The Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete Time

... Since Kermack and McKendrick [1] proposed the Susceptible-Infective-Recovered model (or SIR for short) in 1927, a lot of glorious studies on the dynamics of the epidemic models have been presented (see [2]-[9]). The ...

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Linear Uncertain Discrete Time Delay System: A Survey

Linear Uncertain Discrete Time Delay System: A Survey

... The new methods developed here were applied to two well-known problems, confirming and extending earlier results. The problems included as a special case the problems of filtering, prediction, and data smoothing ...

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Dynamics of a discrete time predator prey system

Dynamics of a discrete time predator prey system

... Case (ii). The bifurcation diagram of system () in (d, x) plane for a = . and c = . with initial value (., .) is disposed in Figure (a). The maximum Lyapunov exponents corre- sponding to Figure (a) are ...

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Robustness of proper dynamic output feedback for discrete time singularly perturbed systems

Robustness of proper dynamic output feedback for discrete time singularly perturbed systems

... In the past years, the linear matrix inequality (LMI) technique has been widely proposed to solve control problems [16]. In contrast to the Riccati approach, the LMIs that arise in a system and control theory can ...

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Identification of continuous-time models for nonlinear dynamic systems from discrete data

Identification of continuous-time models for nonlinear dynamic systems from discrete data

... This time, only the displacement x t ( ) of the system is ...the system model is assumed unknown and assumed to have the form in ...the system state with respect to ...

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A Discrete Event Model for Real Time System Simulation

A Discrete Event Model for Real Time System Simulation

... VI. C ONCLUSIONS AND F UTURE W ORK In this paper we have presented a discrete event model for the simulation of a RTS, based on the analysis of a RTS as dynamic, discrete, non-linear and ...

5

Multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm

Multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm

... The number of possible terms in AutoRegressivs Moving Average with eXogenous input or ARMAX model is equal to the sum of allowable maximum lags while the maximum numb= of terms in NARMAX[r] ...

6

On the spectrum of oscillations in economics

On the spectrum of oscillations in economics

... different time dependent oscillations of economic variables in the economics, 2) introduces the notion of the Ledenyov discrete time signals in the economics for the first time, 3) proposes ...

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Fast Protection of Power System Using Pll and Fuzzy Logic Controller

Fast Protection of Power System Using Pll and Fuzzy Logic Controller

... The dynamic characteristics of the closed loop PLL system with a second order are investigated in both continuous and discrete-time domains, and the optimization method is ...power ...

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Mind Body Problem: Does Complexity Exist Objectively?

Mind Body Problem: Does Complexity Exist Objectively?

... space, time, and discrete objects and events, on the one hand, and complexity, structure, and the dynamic arrangement of system elements and information, on the other hand, are all concepts ...

14

Existence of solutions to a regularized model of dynamic fracture

Existence of solutions to a regularized model of dynamic fracture

... Hausdorff measure, and the minimization is performed subject to a Dirichlet con- dition. (For the time being, we ignore the problem of a crack forming along ∂Ω, releasing u from the Dirichlet data there; we will ...

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ECE-420: Discrete-Time Control Systems Project Part B: Feedback Control

ECE-420: Discrete-Time Control Systems Project Part B: Feedback Control

... loop discrete-time system in both Matlab and Simulink, and then modify both the Matlab file and the Simulink file for a simple closed loop ...embedded system toolbox works, it will not be ...

6

Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory

Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory

... multivariate time series capturing variables such as flow rate, pressure, particle velocity, and other ...anonymized time series variables, called V14 and V36, that have been selected from the process ...

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Finite Time Bounded Tracking Control for Linear Discrete Time Systems

Finite Time Bounded Tracking Control for Linear Discrete Time Systems

... linear discrete-time systems subject to disturbances is ...error system, the problem is transformed into a finite-time boundedness problem of the output vector of the error ...original ...

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Measuring and Pricing the Risk of Corporate Failures

Measuring and Pricing the Risk of Corporate Failures

... future time periods using a hazard regression model augmented with a time-series model for the stochastic development of firm-specific and macroeconomic explanatory ...over time than is predicted by ...

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