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This paper presents a mixed-integer nonlinear programming model (MINLP) for a multi-period facility location-relocation problem in the presence of a line-shaped barrier, which the starting point of the barrier follows the uniform distribution function. Rectilinear metric for the distance between points is supposed. The objective function of the proposed model minimizes the cost of traveled expected...
A forward model of bistatic scattering by PEC infinite elliptic cylinder based on the Physical Optics (PO) approximation is presented. The model is obtained by applying the stationary phase method to the PO integrals in both TE and TM wave cases. The aim is to obtain the shape and size of 2D targets illuminated by a monochromatic wave bistatic Radar. A parameter estimation procedure based on the forward...
In this paper, a Mixed-integer non linear programming (MINLP) model for a multi-facility location problem in the presence of a probabilistic line barrier is presented in which the starting point of the line barrier uniformly distributed. It is supposed that the distances metric is rectilinear. The objective function minimizes the summation of the weighted expected rectilinear barrier distances between...
Incorporation of a specific number of stable fixed points (attractors) in a neural network is an important issue in many applications, including image processing and pattern recognition. The vast majority of model requires hundred presentation of the patterns before the learning is converged. This increases the simulation time considerably and thus limit their practical applications. In this paper,...
Considering the nonlinear characteristic of hydraulic actuators is very important in designing the controller of automobile active suspension system. To show the importance of this effect, two nonlinear control methods are employed in this paper. At first, a controller is designed by a combined LQR and backstopping (CLB) nonlinear technique. In this method, the nonlinear model is linearized in one...
This paper presents a fuzzy multiple criteria group decision-making (FMCGDM) problem with the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) based on the new concept of positive and negative ideal solution. Triangular fuzzy numbers (TFN) among decision-making process are used to evaluate the weighted different alternatives versus various. Additionally, in this paper we compared...
Many Proportional-Integral-Derivative (PID) controller design methods on nonlinear systems are reported in recent years due to its simple structure and powerful performance. This paper presents Shuffled Complex Evolution (SCE) method for PID design process that yields more optimum parameters. By adding saturation constraint to the system, our model is more precise than other reported researches. Also...
Generation of electricity using wind power has received considerable attention worldwide in recent years but the short circuit current contribution of wind turbines has not received much attention so far. This paper considers the short circuit behaviour of induction generators in a wind farm considering wind speed changes and its influence on the wind farm and the power system. We consider changes...
Currently, associative neural networks (AsNNs) are among the most extensively studied and understood neural paradigms. In this paper, we use a hybrid model of neural network for associative recall of analog and digital patterns. This hybrid model which consists of self-feedback neural network structures (SFNN) parallel with generalized regression neural network (GRNN) were first proposed by authors...
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