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var str = 'Hybrid Approach to Design of Two Dimensional Stable IIR Digital Filter';
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]]>
Stable 2-Drecursive digital filter]]>
Constrained Optimization]]>
Genetical swarm optimization]]>
Multidimensional Systems]]>
In this paper, the magnitude optimization for the design of two dimensional digital filter is attempted and new design method for a two-dimensional (2-D) recursive digital filter is proposed via appropriate genetical swarm optimization with the introduction of the desired stability constraints. The method is tested on a numerical example and the obtained results are presented with previously published methods.]]>
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var str = 'CHAKER, Hichem';
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]]>
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var str = 'KAMECHE, Samir';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 3 (2020); 148-152]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i3]]>
Laboratory of Signals and Systems, Algeria]]>
2020-09-15]]>
Copyright (c) 2020 Hichem CHAKER, Samir KAMECHE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/110/93]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/110]]>
10.51485/ajss.v5i3.110]]>
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var str = 'Straddle Robot Design and control with a PID controller optimized by PSO algorithms';
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]]>
Straddle Mobile robot]]>
Simulink]]>
Solidworks]]>
PID controller]]>
Particle Swarm Optimization]]>
implementation]]>
The work presented in this paper illustrates the design and control of a straddle robot-type four-wheel moving robot with PID controller adjusted by meta-genetic algorithms genetic Algorithm (GA) and PSO. The approach used for the simulation is a modeless approach because it assumes no knowledge of the mathematical model of the system, indeed, the mechanical structure was implemented under SolidWorks, then a simulation (Solidworks, Simulink) has was conducted using particle swarm optimization (PSO) techniques for controller parameter optimization (PID) to control the steering angle and angular velocity of each wheel. The results obtained clearly illustrate the effectiveness of the selected control architecture and the accuracy is better with the use of the PSO algorithm. In a future work, we compare the results with using other optimization algorithms like GA (Genetic Algorithm) and GWO (Grey Wolf Optimizer) algorithm.]]>
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var str = 'ZENNIR, Youcef';
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]]>
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var str = 'GRIEF, Sami';
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]]>
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var str = 'MECHHOUD, Elarkam';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 142-147]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Youcef ZENNIR, Sami GRIEF, Elarkam MECHHOUD]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/109/92]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/109]]>
10.51485/ajss.v5i2.109]]>
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var str = 'Real-time fractional order system identification using recursive least squares method';
document.write(linkifyHtml(str, options));
]]>
fractional order system]]>
identification system]]>
recursive least squares (RLS) technique]]>
Charef approximation method]]>
Grünwald numerical approximation]]>
In this paper, we address the problem of fractional order systems real-time identification based on recursive least squares technique. The fractional order model is approximated using the Charef Singularity function method and Grünwald numerical approximation for fractional order integral and derivative. We show by numerical simulation example that the identified model represents the original system efficiently.]]>
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var str = 'TOUIL, Walid';
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]]>
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var str = 'LADACI, Samir';
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]]>
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var str = 'CHAABI, Abdelhafid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 138-141]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Walid TOUIL, Samir LADACI, Abdelhafid CHAABI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/108/91]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/108]]>
10.51485/ajss.v5i2.108]]>
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var str = 'Level Control of Quadruple Tank Process using Laguerre Functions based Model Predictive Control Algorithm';
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]]>
Discrete-linear state-space]]>
Model Predictive Control (MPC)]]>
Laguerre functions]]>
Optimization]]>
This paper aims to present a model predictive controller based on discrete state-space modeling, where the future control trajectory is approximated by a set of discrete-time Laguerre functions instead of shift forward operators. The benefit of using these orthonormal Laguerre functions is that they have fewer parameters to adjust in the optimization problem and the computation load is significantly lower than the standard predictive control. The effectiveness of this controller is illustrated through the quadruple tank process, which is a highly interacted, multivariable and constrained system.]]>
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};
var str = 'Menighed, Kamel';
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]]>
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var str = 'CHEKAKTA, Issam';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 130-137]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Kamel Menighed, Issam CHEKAKTA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/107/90]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/107]]>
10.51485/ajss.v5i2.107]]>
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var str = 'Assessment of the Common Cause Failure(CCFs) effect on Safety Instrumented System(SIS) by usign the Fault Tree Analysis (FTA) method';
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]]>
Common cause failure (CCF)]]>
Beta-factor- model]]>
Fault Tree Analysis]]>
Minimal cuts sets]]>
Dependents and independents failures]]>
afety-instrumented system]]>
The reliability of the safety-instrumented system (SIS) has received a lot of attention during the past decade, with the emergence of the new standards such as International Electrotechnical Commission IEC61508, and IEC61511, that provides a general framework for the design and implementation of these safety barriers. Among the problems influencing on the global SIS reliability: Common Cause Failure (CCF), which contributes too many accidents, that has a negative impacts, so it must be considered in the risk and reliability assessment for these systems. The aim of this work is to focus on the effects of common cause failures (CCFs) on the reliability of a SIS, by implementing a comparative SIS dependability study with and without consideration the CCFs, using the beta factor model, and the fault tree analysis (FTA) method.]]>
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};
var str = 'Metatla, Hassina';
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]]>
var options = {
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var str = 'Rouainia, Mounira';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 118-129]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Hassina Metatla, Mounira Rouainia]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/106/89]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/106]]>
10.51485/ajss.v5i2.106]]>
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};
var str = 'Fractional order adaptive MRAC controller for an active suspension system: fractional operator, fractional order system, Model Reference Adaptive Control, active suspension system.';
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]]>
fractional operator]]>
fractional order system]]>
Model Reference Adaptive Control]]>
Active Suspension System]]>
This paper investigates the use of fractional order operators in conventional model reference adaptive control (MRAC). A fractional adaptive controller is designed based on the use of a fractional-order parameter adjustment rule. Applied in numerical simulations for an active suspension system and compared with the conventional MRAC, it is shown that the performances of FOMRAC are superior to classical control schemes.]]>
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var str = 'KHELAS, SEIF EDDINE';
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]]>
var options = {
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var str = 'LADACI, SAMIR';
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]]>
var options = {
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var str = 'BENSAFIA, YASSINE';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 112-117]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 SEIF EDDINE KHELAS, SAMIR LADACI, YASSINE BENSAFIA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/105/88]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/105]]>
10.51485/ajss.v5i2.105]]>
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var str = 'Impacts of the black clay soil moisture on the corrosion and cathodic protection performance of the API X70 Pipeline';
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]]>
Soil moisture]]>
Buried steel]]>
Electromechanical Behaviour]]>
Numerical Simulation]]>
Cathodic Protection]]>
The impact of the black clay soil moisture of Skikda (East of Algeria), on the corrosion cathodic protection performance of the API X70 pipeline was studied in this paper. To achieve this objective, first, electrochemical analysis has been carried out. Then, in order the show impact of the black clay soil moisture of Skikda on the cathodic protection of the API X70 Pipeline, the corrosion parameters of the API X70 steel pipeline obtained by electrochemical measurements such as Tafel slopes, corrosion current densities, and corrosion potentials were used as boundary conditions in the elaborated cathodic protection model. The obtained results show that the corrosion current I corr is directly proportional to the moisture content up to 50 wt. %, with a potential shift towards the more electronegative values. The cathodic protection perfermance has been well proven in black soil at 100 wt. % moisture contents.]]>
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var str = 'HENDI, R.';
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]]>
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var str = 'SAIFI, H.';
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]]>
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var str = 'BELMOKRE, K.';
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]]>
var options = {
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var str = 'OUADAH, M.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 106-111]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 R. HENDI, H. SAIFI, K. BELMOKRE, M. OUADAH]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/104/87]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/104]]>
10.51485/ajss.v5i2.104]]>
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var str = 'Risk Analysis Using HAZOP -Fault Tree - Event Tree Methodology Case Study: Naphta Stabilizer-A Reflux Drum (LPG separation) in RA1K';
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]]>
risk analysis]]>
HAZOP]]>
Fault tree]]>
Event Tree]]>
Stabilizer reflux drum]]>
The purpose of this work is the risk assessment of a stabilizer reflux drum using HAZOP - Fault tree - Event tree approach. This risk assessment approach aims first of all to identify potential accident scenarios using Hazard an Operability study (HAZOP), these scenarios need more detailed frequencies estimation, it is performed thanks to fault tree analysis. Then, to analyze events issuing after success or fail of safety barriers, the event tree is used. Finally, in order to better appreciate accident scenarios, ALOHA is utilized to simulate them.]]>
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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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]]>
var options = {
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var str = 'MECHHOUD, El-Arkam';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 98-105]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Seif El Islam Bouasla, Youcef ZENNIR, El-Arkam MECHHOUD]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/103/86]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/103]]>
10.51485/ajss.v5i2.103]]>
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var str = 'Particle Swarm Optimization for tuning a Fuzzy Supervisory Controller Parameters (Takagi Seguno and Mamdani Engines)';
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]]>
Boiler]]>
fuzzy supervisory]]>
PID Controller]]>
Particle Swarm Opitimization Algorithm]]>
Steam generation systems are a crucial part of most power plants. Therefore, boiler control is an important problem for power plants that are frequently changing load or subject to sudden load disturbances, which are common in current market driven electricity industry. Hence, the control of such processes needs the design of more effective controllers. Although Fuzzy logic controllers seem more adequate for controlling chemical processes, since they provides solutions to incompletely defined and nonlinear processes industrials does not prefer such type of controllers since the tuning of these controllers requires the adjustment of a large number of parameters, which is tedious. The fact that let the industrials prefer the use of simple PID controllers rather than complicated fuzzy or neural controllers. Hence in this paper a simple PD controller is used to control the steam flow parameters of whereas its parameters are deduced using fuzzy supervisory controller the parameters of the supervisory controller are optimized using particle swarm optimization algorithm, the most known inference Engines SEGUNO and MAMDANI are considered.]]>
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var str = 'BENDIB, Riad';
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]]>
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var str = 'HAMMADI, Youcef';
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]]>
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var str = 'MAZOUZI, Mohammed';
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]]>
var options = {
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var str = 'MECHHOUD, Elarkam';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 92-97]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Riad BENDIB, Youcef HAMMADI, Mohammed MAZOUZI, Elarkam MECHHOUD]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/102/85]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/102]]>
10.51485/ajss.v5i2.102]]>
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var str = 'Simulation and Analysis of a Petrochemical Process (Deethanizer Column- MLE field) using HYSYS Aspen Simulator';
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natural gas processing]]>
deethanizer]]>
simulation]]>
HYSYS simulator]]>
Natural gas industry has a great strategic and economic importance; it becomes one of the most attractive business opportunities in the petroleum and petrochemical field. In order to produce high quality gas, many companies all over the world including Algeria create many plants for natural gas processing to clean raw natural gas, by using separation unites and other services to get a product that respect the commercial specifications. Natural gas fractions are separated by distillation column in our case is called deethanizer tower. In this work a dynamic simulation study of deethanizer column is developed and implemented in HYSYS simulator. Simulation results prove that the HYSYS is a powerful tool to simulate industrial processes such that the simulated results are close to the real ones.]]>
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var str = 'BELHOCINE, Amel';
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var str = 'BENDIB, Riad';
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var str = 'ZENNIR, Youcef';
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Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 86-91]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Amel BELHOCINE, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/101/84]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/101]]>
10.51485/ajss.v5i2.101]]>