The effect of catalytic surface reaction on non-reactive flow in micro-channels is *** hydraulic diameter of the channel is considered within the range of 0.2-1.2 mm,and the channel length is considered to be 5 *** wh...
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The effect of catalytic surface reaction on non-reactive flow in micro-channels is *** hydraulic diameter of the channel is considered within the range of 0.2-1.2 mm,and the channel length is considered to be 5 *** whole length of the channel wall is coated with a *** sensitivity analysis shows that the effect of normalized hydraulic diameter is more than the normalized longitude coordinates in accordance with the existence of the large ratio of surface area to volume in the *** validation of this model,the variation of fuel conversion is compared with the published experimental data and shows an acceptable agreement.
In this paper, an enhanced adaptive nonlinear extended state observer (EANESO) for single-input single-output pure feedback systems in the presence of external time-varying disturbances is proposed. In this paper, a n...
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In this paper, an enhanced adaptive nonlinear extended state observer (EANESO) for single-input single-output pure feedback systems in the presence of external time-varying disturbances is proposed. In this paper, a nonlinear system with matched and mismatched disturbances is considered. The conventional extended state observer (ESO) can only be applied to systems that are in the form of integral chains. Moreover, this method has limitations in the face of mismatched disturbances. In the presence of time-varying disturbances, the traditional ESOs cannot estimate the disturbances accurately. To overcome this limitation, an EANESO is proposed in this paper. The main idea is to design the nonlinear ESO (NESO) to estimate the states of the system and multiple disturbances simultaneously. The observer gains are considered time-varying and adjusted with adaptation laws to improve the estimation accuracy and overcome the peaking phenomenon. Next, the proposed controller is designed based on output feedback to eliminate the effects of multiple disturbances and stabilize the closed-loop system. Subsequently, the stability analysis of the closed-loop system and convergence of the observer error are discussed. Finally, the proposed method is applied to the inverted pendulum system. The simulated results show good performance of the proposed method as compared with a recently published scheme in the related literature.
The present work investigates an analytical study on the problem of laminar film condensation on a nanosphere. Due to the microscale interaction, the problem is analyzed by taking into account the effects of slip in v...
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In this paper, some variants of stochastic solvers free from derivatives for Ito ^ stochastic ordinary differential equations (SODEs) are given. The derived strong variants are convergent and explicit. Then, some impl...
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We propose a matrix method for calculating generalized weighted Moore-Penrose inverse numerically. It is proved that the scheme is convergent with high order via theoretical analysis. Some tests are also presented to ...
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This article contributes a matrix approach by using Taylor approximation to obtain the numerical solution of one-dimensional time-dependent parabolic partial differential equations (PDEs) subject to nonlocal boundary ...
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This article contributes a matrix approach by using Taylor approximation to obtain the numerical solution of one-dimensional time-dependent parabolic partial differential equations (PDEs) subject to nonlocal boundary integral conditions. We first impose the initial and boundary conditions to the main problems and then reach to the associated integro-PDEs. By using operational matrices and also the completeness of the monomials basis, the obtained integro-PDEs will be reduced to the generalized Sylvester equations. For solving these algebraic systems, we apply a famous technique in Krylov subspace iterative methods. A numerical example is considered to show the efficiency of the proposed idea.
By extending the idea of LSMR method, we present an iterative method to solve the general coupled matrix equations ∑ k=1qAikXkBik=Ci, i=1,2,.,p, (including the generalized (coupled) Lyapunov and Sylvester matrix equa...
This study proposes an anti-slip control system for electric trains based on the fuzzy logic theory, which prevents the wheels from slipping during the acceleration and simultaneously tracks the desired speed profile....
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We present a delayed optimal control which describes the interaction of the immune system with the human immunodeficiency virus (HIV) and CD4 + T-cells. In order to improve the therapies, treatment and the intracellul...
We present a delayed optimal control which describes the interaction of the immune system with the human immunodeficiency virus (HIV) and CD4 + T-cells. In order to improve the therapies, treatment and the intracellular delays are incorporated into the model. The optimal control in this model represents the efficiency of drug treatment in preventing viral production and new infections. The optimal pair of control and trajectories of this nonlinear delay system with quadratic cost functional is obtained by Fourier series approximation. The method is based on expanding time varying functions in the nonlinear delay system into their Fourier series with unknown coefficients. Using operational matrices for integration, product, and delay, the problem is reduced to a set of nonlinear algebraic equations.
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