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The aim of this study is to investigate the stability properties of a model of the lac operon enhanced with stochastic perturbations. New sufficient conditions of exponential mean square stability are obtained analytically for this model and threshold values derived. For regulatory networks, an observer method for the dynamic of the lac operon model is employed, that uses the measured input and output...
In this paper, we present semi-analytical modeling and optimization approaches based on genetic algorithm computation to improve the electrical performance of amorphous SiGe thin-film solar cell including multi-trench region. The key idea behind the proposed investigation is to model the electrical efficiency using 2D numerical database and analytical fitting. Semi-analytical expression of the efficiency...
As one of the major computational electromagnetic tools, the finite-difference time-domain (FDTD) method finds widespread use as a solver for a variety of electromagnetic problems. In this paper we are interested in the implementation of a two-dimensional time-domain numerical scheme for simulation of wave propagation, on dispersive and inhomogeneous media with conductive loss which are based on Debye...
This paper presents a new dynamic model called fuzzy quasi LPV model which simulate accurately the temperature and flow transients in a cross flow heat exchanger (CFHX). Motivated by the ability of fuzzy tools to approximate and management of nonlinearities, and based on the interpretation of parameters in Takagi-Sugeno (TS) models, we present a new procedure for identifying nonlinear models of linear...
This paper deals with identification of Wiener nonlinear systems. Such systems, consist of a linear dynamic block followed by a static non-linear subsystem. In this work, Polynomial Non Linear State Space(PNLSS) models are used to describe them. An output error identification method is performed, based on Levenberg-Marquardt algorithm; the parameters sensitivity functions are developed as a multivariable...
This paper presents the robust H∞ control problems for a class of uncertain Takagi-Sugeno (T-S) fuzzy systems with time-delay where uncertainties involved in the state and input matrices. The T-S fuzzy model is employed to represent uncertain delayed nonlinear systems. A delay-dependent stabilization criterion is first presented and new conditions of stabilization for uncertain T-S fuzzy model with...
Fractional systems are known to model complex dynamics with a reduced number of parameters. This paper deals with identification of discrete fractional order systems based on non-linear Hammerstein models. Such systems consist of a static non-linear block followed by a linear dynamic system. The polynomial non-linear state space equations (PNLSS) are used to represent the fractional Hammerstein system...
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