The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Aliev-Panfilov model is a well-known and well-studied model to understand cardiac excitation. In this paper, we consider the Aliev-Panfilov reaction-diffusion system of PDE to understand the mechanism of ventricular fibrillation. It is known that the electrical activities of the heart cells create action potentials periodically. That is why we study the bifurcation analysis of periodic traveling waves...
We study the two-variable FitzHugh-Nagumo reaction-diffusion system for neuron excitation. The periodic action potentials of the nerve cells can be treated as the periodic traveling waves in one dimension. That motivates us to study the existence and the stability of periodic traveling waves in a one-parameter family of solutions. It is observed that periodic traveling waves change their stability...
Double-gyre ocean circulation is a typical phenomenon in the northern mid-latitude ocean basins. Its low-frequency variability significantly influences on both ocean and climate. To enhance its predictability, the finding of optimal initial perturbation which can trigger the double-gyre variation is important. CNOP method is adopted to calculate the optimal initial perturbation and this method has...
Placement of sensors and actuators in a linear network model is pursued, with the aim of achieving desirable invariant-zero characteristics for input-output channels (primarily, minimum phase dynamics). Graph-theoretic analyses of the network model's invariant zeros and phase-response properties are undertaken, and used to develop simple insights into and algorithms for sensor and actuator placement.
Deep learning has recently contributed significantly to large-scale recognition of several modalities like image, video and speech. Stacked autoencoders are a family of powerful convolutional neural nets to build scalable generative models for automatic feature learning. In this paper, we propose a network of novel overcomplete autoencoders called Fisher autoencoders. In contrast to convolutional...
If microgrid is connected with main grid, there will be no problem of stability. But after islanding, stability issues occurs. For stability analysis of microgrid the effect of control strategy used in inverters is necessary to study. Load and network parameters also affects on stability of system. The controller of inverter, load and network should sense the signals accurately and quickly because...
Classic Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) is limited to an arbitrary array for the Direction-of-Arrival (DoA) estimation because shift invariance is a prerequisite. In this paper, an extended ESPRIT algorithm is newly proposed for such an array with an additional compensation angle input. First, an angle-dependent unitary transformation is applied to the...
Contemporary large-scale Partial Differential Equation (PDE) simulations usually require the solution of large and sparse linear systems. Moreover, it is often needed to solve these linear systems with different or multiple Right-Hand Sides (RHSs). In this paper, various strategies will be presented to extend the scalability of existing multigrid or domain decomposition linear solvers using appropriate...
The problem of infering the top component of a noisy sample covariance matrix with prior information about the distribution of its entries is considered, in the framework of the spiked covariance model. Using the replica method of statistical physics the computation of the overlap between the top components of the sample and population covariance matrices is formulated as an explicit optimization...
An extremely scalable linear-algebraic algorithm was developed for quantum material simulation (electronic state calculation) with 108 atoms or 100-nm-scale materials. The mathematical foundation is generalized shifted linear equations ((zB — A)x = b), instead of conventional generalized eigenvalue equations. The method has a highly parallelizable mathematical structure. The benchmark shows an extreme...
In this paper, the output containment control problem of heterogeneous linear multi-agent systems is investigated. The objective of the output containment control problem is to make a group of agents converge to a convex hull spanned by some leaders. A distributed control law based on output regulation framework is proposed, where a distributed observer is designed in the control law for agents estimating...
In this paper, a framework for stability analyses of a typical inverter-based islanded microgrid with a non-linear load is presented, namely ideal constant power load (CPL) which is supplied by tightly regulated power electronics converter. The whole dynamic model of the considered microgrid is firstly developed, based on which the small signal model of system is deduced at stable operating point...
In this paper we have introduced a new parametric output feedback control design algorithm based on the Block similarity transformations. It is needed that complete Block controllability and Block observability be a necessary and sufficient conditions for the proposed method in order to assign whole set of poles via the output feedback for linear multivariable system. The parameterization of the output...
This paper proposes an approach for examining the small-signal stability of transmission power grids in presence of a power line removal. Employing this approach, we derive an algebraic certificate for directly checking the existence of a new stable equilibrium point after the outage of a power line. This criterion is obtained based on the power network structure and power flow parameters without...
Classical formulations of the shape matching problem involve the definition of a matching cost that directly depends on the action of the desired map when applied to some input data. Such formulations are typically one-sided – they seek for a mapping from one shape to the other, but not vice versa. In this paper we consider an unbiased formulation of this problem, in which we solve simultaneously...
An ARMA (p, q) model parameterization method is proposed for approximating the Clarke's theoretical autocorrelation function. The MDL criterion is used for estimating the order of ARMA model on multipath Rayleigh fading. An ARMA (14, 13) model is obtained for approximating the Clarke's theoretical correlation by considering statistical parameter with the nominal of discrete-time and maximum Doppler...
This research work deals with the analysis of sub-synchronous control interaction (SSCI) in doubly-fed induction generators (DFIGs). The time-invariant model of the DFIG is linearized to perform eigenvalue analysis and to obtain the participation factor of each state variable for unstable modes. The sensitivity of system eigenvalues related to sub-synchronous modes is analyzed with respect to all...
This paper demonstrates a stress function based approach for predicting the static stresses in piezoelectric composite laminates under piezoelectric excitation. The stress function based approach is quite different from the traditional plate and shell theories that adopt the displacement functions as initial assumptions, where the stress boundary conditions are prescribed at the surfaces and applied...
Due to the growing demand of data rate and reliability in multi-user wireless applications, multiple-user multiple-input multiple-output (MU-MIMO) precoding schemes are developed to avoid the growing interferences among users. The leakage-based precoding algorithm is a key processing technique that can achieve a higher signal-to-interference noise ratio (SINR) in the MU-MIMO system. The leakage-based...
Abstract-the single phase brushless DC (BLDC) motor is widely used in the automotive air conditioning systems with its high efficiency and low cost. With the EV system demand, higher requirements are put forward in aspects of efficiency, vibration and noise. To obtain high optimal operational performance, a novel vector control mothed of single phase BLDC is proposed based on usual platform. In this...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.