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var str = 'The use of Functional Resonance Analysis Method (FRAM) to model an emergency response plan';
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]]>
Accident analysis]]>
FRAM]]>
; Emergency response plan]]>
Resilience]]>
Accident models, analysis methods and emergency response plans affect what accident investigators and emergency response leaders look for, which contributing factors are found, and which recommendations are issued. This paper contrasts the Functional Resonance Analysis Method (FRAM) for an emergency response plan. FRAM illustrates the dynamic interactions within socio-technical systems and lets the analyst understand the how and why by describing non-linear dependencies, performance conditions, variability, and their resonance across functions. So, it defines a systemic framework to model complex systems from the perspective of function and views accidents and emergency response strategies as emergent phenomenon of function’s variability, It is playing an increasingly significant role in the development of systemic emergency response plan.]]>
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var str = 'Bouasla , Seif El Islam';
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]]>
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var str = 'Zennir , Youcef';
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]]>
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var str = 'EL-Arkam , MECHHOUD';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 2 (2022): AJSS; 61-70]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i2]]>
Laboratory of Signals and Systems, Algeria]]>
2022-06-30]]>
Copyright (c) 2022 Seif El Islam Bouasla , Youcef Zennir , MECHHOUD EL-Arkam]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/154/140]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/154]]>
10.51485/ajss.v7i2.154]]>
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var str = 'Linear Feedback Control Design for Fractional Order Cryptovirology Stabilization in a Blockchain System';
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]]>
fractional order control]]>
chaotic]]>
linear feedback control]]>
unstable fixed point]]>
chaotic cryptovirology in a blockchain]]>
This paper proposes a linear feedback control of design in order to stabilize the fractional order chaotic cryptovirology in a blockchain. An optimized feedback controller is obtained by the use of Particle Swarm Optimization algorithm (PSO). A numerical simulation shows the effectiveness of the proposed controller in stabilizing the system to an unstable fixed point.]]>
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var str = 'Hadji, Mohsen Mohamed';
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]]>
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var str = 'Ladaci, Samir';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 3 (2022): AJSS; 117-121]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i3]]>
Laboratory of Signals and Systems, Algeria]]>
2022-09-30]]>
Copyright (c) 2022 Mohsen Mohamed Hadji, Samir Ladaci]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/153/146]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/153]]>
10.51485/ajss.v7i3.153]]>
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var str = 'The Impact of Fractional Order Control on Multivariable Systems';
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]]>
BLT Method]]>
PID]]>
IMC Method]]>
Fractional Controller]]>
Distillation Column]]>
Multivariable System]]>
Fractional Filter]]>
RGA]]>
Interaction]]>
In this work a fractional order filter proportional integer (FOF-PI) controller is proposed for the control of multivariable system which is a distillation column model. In addition to the design of fractional controller, a comparison between integer controller employing the most used method the biggest log modulus (BLT) and the internal model control (IMC) with the fractional method. The purpose of this comparison is to improve the quality control and show the superiority and the increase of flexibility by the additional fractional parameter of the fractional control. An analyzed study between performance indices of the three methods as the overshoot, settling time, integral absolute error (IAE) and rise time is exhibited. The simulation graphs of the outputs provided by the three used controllers are presented to confirm the results and show the improvement in the control of multivariable system domain by the fractional method.]]>
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var str = 'Fartas , NOURELHOUDA';
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]]>
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var str = 'Khelassi , ABDELMADJID';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 1 (2022): AJSS; 7-12]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i1]]>
Laboratory of Signals and Systems, Algeria]]>
2022-03-31]]>
Copyright (c) 2022 NOURELHOUDA Fartas , ABDELMADJID Khelassi]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/151/132]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/151]]>
10.51485/ajss.v7i1.151]]>
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var str = 'Fuzzy-PI Conroller Tuned With GWO, WOA And TLBO For 2 DOF Robot Trajectory Control';
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]]>
Fuzzy-PI]]>
GWO]]>
WOA]]>
TLBO]]>
Robot trajectory control]]>
In this study, a manipulator robot with two degrees of freedom was controlled by Fuzzy-PI adjust by three meta-heuristic algorithms (Grey wolf optimizer (GWO), Whale Optimization Algorithm (WOA) and Teaching–learning-based optimization (TLBO)). The scale factors of the fuzzy system of the takagi-soguno type (the width of the membership functions) and the parameters of PI were optimized by those three algorithms under the cost function of the absolute magnitude of the mean error (MAE). In order to investigate the robustness of the proposed controller we considered the friction forces. The results of the simulation prove the controller's effectiveness to follow a given trajectory.]]>
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var str = 'Achouri, Mourad';
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]]>
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var str = 'Zennir, Youcef';
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]]>
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var str = 'Tolba, Cherif';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 1 (2022): AJSS; 1-6]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i1]]>
Laboratory of Signals and Systems, Algeria]]>
2022-03-31]]>
Copyright (c) 2022 Mourad Achouri, Youcef Zennir, Cherif Tolba]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/150/131]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/150]]>
10.51485/ajss.v7i1.150]]>
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var str = 'A Novel Fractionalized PID controller Using The Sub-optimal Approximation of FOTF';
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]]>
Fractional Control]]>
Approximation Methods]]>
Oustaloup Method]]>
PID Controller]]>
In the last two decades, fractional calculus has been rediscovered by scientists and engineers and applied in an increasing number of fields, namely in the area of control theory. Recently, many research works have focused on fractional order control (FOC) and fractional systems. It has proven to be a good mean for improving the plant dynamics with respect to response time and disturbance rejection. In This work we use the Sub-optimal Approximation of fractional order transfer function to design the parameters of PID controller and we study the performance analysis of fractionalized PID controller over integer order PID controller.]]>
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var str = 'Bensafia, Yassine';
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]]>
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var str = 'Khettab, Khatir';
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]]>
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var str = 'Idir, Abdelhakim';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 1 (2022): AJSS; 21-26]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i1]]>
Laboratory of Signals and Systems, Algeria]]>
2022-03-31]]>
Copyright (c) 2022 Yassine Bensafia, Khatir Khettab, Abdelhakim Idir]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/149/134]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/149]]>
10.51485/ajss.v7i1.149]]>
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var str = 'Comparison study among the different existing loss of excitation protection schemes in synchronous generator';
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]]>
Loss Of Excitation (LOE)]]>
positive-offset mho element]]>
negative-offset mho element]]>
loading conditions]]>
Synchronous generator is the most important element of a power system and its fast and reliable protection is crucial. One of the most abnormal conditions in a generator is loss of excitation (LOE) which is harmful to both the generator and the power system. This condition should be detected and the generator isolated from the system to avoid generator damage as well as power system instability.
This work presents an experimental study and comparison of the two conventional LOE protection schemes, negative-offset and positive-offset mho element under different conditions. The results show that the two schemes can detect LOE fault under total or partial LOE conditions, however in terms of speed (fault detection time) the positive offset scheme is faster than the negative offset scheme under all loading conditions. Besides, the two LOE protection schemes are reliable and do not operate under power swing disturbances caused by any type of external faults.]]>
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var str = 'Bentarzi, Hamid';
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]]>
var options = {
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var str = 'Mati, Ayache';
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]]>
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var str = 'MAUN, Jean-Claude';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 206-213]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 Hamid Bentarzi, Ayache Mati, Jean-Claude MAUN]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/146/129]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/146]]>
10.51485/ajss.v6i4.146]]>
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var str = 'A New Frame Work of Real-Time Charaterization Battery Platform';
document.write(linkifyHtml(str, options));
]]>
Battery]]>
Modelling]]>
Characterization Methods]]>
State of Charge]]>
Batteries play an important role in the performance enhancement of power grids including renewable energy systems. In order to attain the rated service life and the longest possible run time of a battery, it is necessary to be monitored and maintained. This needs for an effective real-time characterization platform. Therefore, this paper presents a new frame work of a real-time battery monitoring system that will be able to provide the user with battery parameters as well as a recording file of the instantaneous variables values. To perform this task, a PC based platform associated with acquisition board is developed to automate the battery characterization system.
A graphical user interface (GUI) that allows users to read the Open Circuit Voltage (OCV), current, and ambient temperature of the battery during its charging or discharging is developed using Labview software. It is easy and possible for data to be recorded, including voltage, current, during both charging and discharging process. These recording experimental data can be used for a precise and efficient estimation of the state of charge as well as for aging study.]]>
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var str = 'Bentarzi, Hamid';
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]]>
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var str = 'LITOUFI, Mahdi Abdenour';
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]]>
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var str = 'TAIR, Nazim';
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]]>
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var str = 'AZZOUNI, Tarek';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 192-198]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 Hamid Bentarzi, Mahdi Abdenour LITOUFI, Nazim TAIR, Tarek AZZOUNI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/145/127]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/145]]>
10.51485/ajss.v6i4.145]]>
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var str = 'Wide-Area Network State Monitoring System Based On LoRa Communication';
document.write(linkifyHtml(str, options));
]]>
WAMS, State Monitoring, Communication, SISO, MIMO, LoRa, BER]]>
To meet the requirements of long range, small amount of data transmission, better data correctnessand less delay,a wide-Area Network State Monitoring System approach based on LoRa communication is discussed in our Project. The objective is to study and test the performance of Two communication techniques used in wide area monitoring system, a single input single output (SISO) system and a multiple input multiple output system (MIMO) in terms ofBit Error Rate(BER) with varying the signal to noise Ratio(SNR).In addition, we study the Wide Area Monitoring system based on LoRa communication. The IEEE 14-bus power system with Phasor Measurement Units(PMUs) placed at selected buses is considered. The simulation results demonstrate that the MIMO system outperform the SISO system in terms of Bit Error Rate. Furthermore, the value of the reporting rate has been varied for both systems in MATLAB to see the effect on the data correctness and the results show that the Bit Error Rate value decreases with the increase of reporting rate.Finally, we dealt with a modified LoRa MATLAB code emulator to investigate the data error and delay. The results show that LoRa Technology has better performance in terms of delay and error.]]>
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var str = 'Recioui, AEM';
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]]>
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var str = 'Mokhbi, Yasser';
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]]>
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var str = 'Mecheri, Aymen';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 214-219]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 AEM Recioui, Yasser Mokhbi, Aymen Mecheri]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/144/130]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/144]]>
10.51485/ajss.v6i4.144]]>
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var str = 'A review on solar radiation assessment and forecasting in Algeria: (Part 2; Solar radiation forecasting)';
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]]>
Solar radiation, forecasting models, forward prediction models.]]>
Solar radiation forecasting is an important component in many areas related to either the production or exploitation of renewable energies. This field has attracted the attention of many Algerian researchers due to its important solar potential specially in the southern desert areas. In a comprehensive review of the works in this domain, we propose a comprehensive review of the different models and studies for predicting solar radiation in Algeria. Various techniques have been proposed including artificial stochastic models and intelligence.]]>
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var str = 'Kabouche, Nourdine';
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]]>
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var str = 'Chellali, Farouk';
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]]>
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var str = 'Recioui, AEM';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 130-146]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 Nourdine Kabouche, Farouk Chellali, AEM Recioui]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/141/120]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/141]]>
10.51485/ajss.v6i3.141]]>
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var str = 'Optimal Placement of Fault Passage Indicators in Distribution Networks using Genetic Algorithms';
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Fault Passage Indicators]]>
placement]]>
distribution systems]]>
optimization]]>
genetic algorithms]]>
Fault Passage Indicators (FPIs); also named Faulted Circuit Indicators (FCIs), have been under development for the last 70 years including new capabilities to satisfy the needs of the distribution network operators. In order to improve system stability, these devices can be deployed along the feeder to reduce, or even eliminate, the uncertainty about the fault location. The number and location of FPIs affects the network reliability that can lead to extra charge on the distribution companies as well as the consumers. In this work, the optimal number and location of fault passage indicators in Power Distribution Networks (PDN) are determined. The problem is cast as an optimization task with a special economical combined objective function and solved using the genetic algorithms. The work has been tested on the two case studies, IEEE 9 bus and IEEE 33 bus systems.]]>
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var str = 'Recioui, AEM';
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var str = 'Merdj, Mounir';
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var str = 'Kamli, Anouar';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 181-191]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 AEM Recioui, Mounir Merdj, Anouar Kamli]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/139/128]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/139]]>
10.51485/ajss.v6i4.139]]>