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The linear induction machine (LIM) suffers heavily from low efficiency due to its large air-gap length, the influence of end-effects, and the partial load conditions. Several loss minimization control (LMC) techniques have been developed for LIM to adjust the flux to an optimal level to reduce the losses in the steady state. However, these methods are not applicable during dynamic process, since it...
Social networking sites such as Twitter and Facebook attracts millions of users across the world and their interaction with social networking has affected their life. This popularity in social networking has led to different problems including the possibility of exposing incorrect information to their users through fake accounts which results to the spread of malicious content. This situation can...
Quadratic minimization (QM) has been investigated for many years, which is generally supposed to be time-invariant and at the same level. Nevertheless, the QM which arises in practical applications, is usually time-varying and may be at the different levels. Different from general QM, a novel different-level time-varying QM (DLTVQM) is proposed and investigated in this paper. Firstly, the DLTVQM solving...
This paper addresses the problem of jointly detecting and isolating cyber-physical attacks on Supervisory Control And Data Acquisition (SCADA) systems. The SCADA systems are described as a discrete-time state space model in the presence of unknown system states and Gaussian noises. The cyber-physical attacks are modeled as additive signals on both system equations, where different attack scenarios...
Decision making support has become essential to conduct an effective management and operational system. It is considered an important part of operational research and management science. There are various decision issues concerning the good governance and management of a supply chain. In this paper, we focus on the conception problem of a supply chain, especially the geographical location implementation...
This paper deals with a new configuration of scheduling problem inspired from a real industrial case which is pasta production. It could be defined as maximal-idle time (limited idle time) and no-wait hybrid flow shop with dedicated machines. Machines on the first stage have a limited idle time interval constraint. To the best of our knowledge, this is the first paper to study constraint of maximal...
The presented DTC-3V-3L method was designed to ensure the high performance of PMSM drive. Using the predictive approach the algorithm minimizes torque ripples, ensures constant switching frequency and DC link voltage balancing. Moreover, it also provides the fastest dynamic torque response, similar to the fastest non-linear methods.
Developments of sustainable manufacturing systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable manufacturing system can be partially achieved through the implementation of lean methods to reduce manufacturing wastes and operational costs, and increase the system efficiency and productivity. However, the lean approach does not include environmental...
Multimodal transport offers an advanced platform for more efficient, reliable, flexible and sustainable freight transport. In order to achieve sustainable planning in a complicated transport system, it is very interesting to use methods include in the fields of operational research. In this article, we propose a mathematical model to solve the multi-objective optimization problem applied in the multimodal...
We consider the problem of recovering an unknown signal observed through a nonlinear model and corrupted with additive noise. More precisely, the nonlinear degradation consists of a convolution followed by a nonlinear rational transform. As a prior information, the original signal is assumed to be sparse. We tackle the problem by minimizing a least-squares fit criterion penalized by a Geman-McClure...
Multi-terminal switching lattices are typically exploited for modeling switching nano-crossbar arrays that lead to the design and construction of emerging nanocomputers. In this paper we propose a switching lattice optimization method for a special class of “regular” Boolean functions, called autosymmetric functions. Autosymmetry is a property that is frequent enough within Boolean functions to be...
This paper deals with a mixed norm of complex vectors, i.e., the sum of amplitude spectra, and its minimization problem. A combination of this mixed norm and image decomposition problem works well for reduction and decomposition of pattern noise that arises when scanning old photographs with granulated surface. Generally, the spectral distribution of natural images decreases smoothly from low frequency...
Ellipse fitting is widely used in computer vision and pattern recognition algorithms such as object segmentation and pupil/eye tracking. Generally, ellipse fitting is finding the best ellipse parameters that can be fitted on a set of data points, which are usually noisy and contain outliers. The algorithms of fitting the best ellipse should be both suitable for real-time applications and robust against...
This paper presents a novel power loss minimization approach in distribution grids considering network reconfiguration, distributed generation and storage installation. Identification of optimum configuration in such scenario is one of the main challenges faced by distribution system operators in highly active distribution grids. This issue is tackled by formulating a hybrid loss optimization problem...
This paper presents the decentralized Post-Primary Voltage Control (PPVC) scheme which is introduced within the Web-of-Cells (WoC) concept in the ELECTRA IRP project. The PPVC improves the traditionally known secondary and tertiary voltage control schemes to develop a robust method coping with the emerging intermittent generation and variable loading in the distribution system. PPVC aims to utilize...
We present in this paper an efficient template-based method for 3D recovery of elastic shapes from a fixed monocular camera. By exploiting the objects elasticity, in contrast to isometric methods that use inextensibility constraints, a large range of deformations can be handled. Our method is expressed as a saddle point problem using Lagrangian multipliers resulting in a linear system which unifies...
This paper proposes a new prior image constrained compressive sampling (PICCS) method to reconstruct hyper-spectral images, namely SL0-SL0 minimization-based hyper-spectral imaging (HSI). This is a band-by-band reconstruction method, which reconstructs each hyper-spectral band based on the previous one. This method utilizes not only the sparsity of each hyper-spectral band in certain bases but also...
Motivated by applications in adaptive control, this article compares two recursive estimation algorithms for sparse estimation of linear dynamical (ARX) models. In most practical situations an accurate mathematical model estimation of a real system using the least number of parameters is highly desirable. The expectation of sparsity is imposed through minimization of an objective function that includes...
The purpose of this paper is to test the algorithm of PWM with inverter non-idealities compensation and switching losses minimization on a model with various power directions and power factor. The PWM strategy implements simultaneous switching losses minimization and dead-time and voltage drop compensation. The operation of the algorithm is considered. Collisions between switching losses minimization...
This paper proposes two graphycal procedure to mitigate h harmonics and to minimize the total harmonic distortion (THD), respectively. The paper considers a five-level inverter and fundamental frequency modulation: it computes the two switching angles able to reduce low order harmonics and able to minimize the THD. Simulation results are obtained and, in order to validate the proposed procedure, an...
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