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2017 (vol. 27) - Number 2

W. Bozejko, M. Wodecki:

Discrete Systems: Theory and Applications. Special issue.

G. Bocewicz, Z. Banaszak, I. Nielsen:

Delivery-flow routing and scheduling subject to constraints imposed by vehicle flows in fractal-like networks

W. Bozejko, A. Gnatowski, R. Idzikowski, M. Wodecki:

Cyclic flow shop scheduling problem with two-machine cells

W. Bozejko, M. Uchronski,, Z. Chaczko, M. Wodecki:

Parallel patterns determination in solving cyclic flow shop problem with setups

J. Brodny, S. Alszer, J. Krystek, M. Tutak:

Availability analysis of selected mining machinery

K. Chmielewska, D. Formanowicz, P. Formanowicz:

The effect of cigarette smoking on endothelial damage and atherosclerosis development - modeled and analyzed using Petri nets

A. Galuszka, J. Krystek, A. Swierniak, T. Grzejszczak, C. Lungoci:

Information management in passenger traffic supporting system design as a multi-criteria discrete optimization task

M. Kardynska, J. Smieja:

Sensitivity analysis of signaling pathway models based on discrete-time measurements

J. Kasprzyk, P. Krauze, S. Budzan, J. Rzepecki:

Vibration control in semi-active suspension of the experimental off-road vehicle using information about suspension deflection

M. Koryl, D. Mazur:

Towards emergence phenomenon in business process management

M. Koryl:

Active resources concept of computation for enterprise software

H. Krawczyk, M. Nykiel:

Mobile devices and computing cloud resources allocation for interactive applications

W. Mitkowski, W. Bauer, M. Zagórowska:

Discrete-time feedback stabilization

J. Pempera:

An exact block algorithm for no-idle RPQ problem

K. Rzosinska, D. Formanowicz, P. Formanowicz:

The study of the influence of micro-environmental signals on macrophage differentiation using a quantitative Petri net based model

K. Skrzypczyk , M. Mellado:

Vehicle navigation in populated areas using predictive control with environmental uncertainty handling

W. Bozejko, J. Pempera, M. Wodecki:

A fine-grained parallel algorithm for the cyclic flexible job shop problem

ACS Abstract:

2008 (Volume 18)
Number 4
1. Structural decomposition of transfer matrix of positive normal hybrid systems
2. Optimization of fuzzy PID controllers using Q-learning algorithm
3. Zeros and the output-zeroing problem in linear fractional-order systems
4. Contribution to variable structure control based on the approach of fuzzy modeling of Ben-Ghalia for induction motor with Luenberger observer

Selecting genetic algorithms for assembler encoding

6. Enslavement and control in dq synchronous frame for a cascade using multilevel inverter NPC

Structural decomposition of transfer matrix of positive normal hybrid systemsDownload full PDF article
Tadeusz Kaczorek
(Faculty of Electrical Engineering, Białystok Technical University, Białystok, Poland)

A new class of positive normal hybrid linear systems is introduced. It is shown that: 1) the inverse matrix of the characteristic system matrix is normal if and only if its greatest common divisor of (n - 1)-th order minors is equal to one, 2) the rational matrix is normal if and only if its McMillan polynomial is equal to the last common denominator, 3) the rational matrix has the structural decomposition of its transfer matrix if and only if the transfer matrix is normal. A procedure for computation of the structural decomposition of a normal transfer matrix is proposed. The considerations are illustrated by numerical examples.

keywords: normal rational matrix, structural decomposition, linear, hybrid system


Optimization of fuzzy PID controllers using Q-learning algorithmDownload full PDF article
Hamid Boubertakh, Salim Labiod
(LAMEL, Faculte des Sciences de l'Ingnieur, University of Jijel, Jijel, Algeria)
Mohamed Tadjine
(LCP, Departement de Genie Electrique, Ecole Nationale Polytechnique, Alger, Algeria)
Pierre-Yves Glorennec
(INSA de Rennes, Departement of Informatics, Rennes, France)

In this article, we first chose the design settings of the fuzzy PID controllers (FPIDC) so that the FPIDCs mimic the classical PID controllers. The advantage of these controllers is the combination of the simplicity of the classical PID controllers and the interpretability of fuzzy controllers which makes the task of parameters tuning easier. Secondly, we present a method for optimizing the closed-loop system consisting of a FPIDC and an unknown plant using the Q-learning algorithm (QLA). Specifically, QLA minimizes a cost function which quantifies the performance of FPIDC. Without loss of generality the square error sum cost function is used. The QLA, which is a nonmodel-based method, iteratively search of the best parameters so that the output of the cost function is less then satisfaction threshold. Finally, a simulation example is used to prove the effectiveness of the proposed method.

keywords: fuzzy PID controllers, classical PID controllers, Takagi-Sugeno fuzzy systems, Q-learning


Zeros and the output-zeroing problem in linear fractional-order systemsDownload full PDF article
Jerzy Tokarzewski
(Warsaw University of Technology, Warsaw, Poland)

The concept of invariant zeros in fractional order LTI systems with the Caputo derivative is introduced in the paper. The problem of zeroing the system output is discussed. For systems of uniform rank explicit formulas for output-zeroing inputs and the corresponding solutions to the state equation are provided. The zero dynamics and invariant zeros for such systems are also characterized.

keywords: fractional order linear systems, invariant zeros, output-zeroing problem


Contribution to variable structure control based on the approach of fuzzy modeling of Ben-Ghalia for induction motor with Luenberger observerDownload full PDF article
L. Barazane
(Faculty of Electronic and Computing, University of Science and Technology Houari Boumediene (USTHB), Alger, Algerie)
A. Khwaldeh
(Department of Computer Science Faculty of Engineering, Philadelphia University, Jordan)
M.M. Krishan
(Department of Engineering of Information and Measurement Systems, Al-Balq'a Applied University, Jordan)
P. Sicard
(Groupe de Recherche en Elecronique Industrielle, Universite du Quebec a Trois-Rivieres, Canada)

Sliding mode and fuzzy logic control have been combined together in a variety of ways. In this paper, a novel direction to design fuzzy sliding controllers is proposed based on the approach of Ben-Ghalia et al. Which is able  to provide a fuzzy set based on a decoupled and linear system obtained after the application of the feedback- linearization control to the model of an induction motor. On the other hand, a Luenberger observer is conceived in the present work to observe the rotor flux in the motor which is too important to permit the application of fuzzy modeling approach and ensure the optimal and required performances . Furthermore, another objective to use such an observer consists in stabilizing the system and rejecting the disturbances when the system is subjected to uncertainties. Furthermore, to overcome the problem of the chattering phenomenon generated by the application of conventional sliding mode control applied to the cascade structure of the motor,  the approach of  fuzzy sliding mode control based on the fuzzy modelling proposed by Ben-Ghalia is used. The robust fuzzy control design is made feasible without resorting to model simplification or imposing restrictive conditions on the system uncertainty. Finally, simulation results proves the capability of the proposed process to ensure a good performances and robustness which is the principal aim of this research

keywords: feedback linearization control, sliding mode control, Luenberger observer, induction motor, cascade structure, fuzzy modeling control, fuzzy sliding mode control


Selecting genetic algorithms for assembler encoding

Download full PDF article
Tomasz Praczyk
(Naval University, Gdynia, Poland)

Assembler Encoding makes it possible to use genetic algorithms to construct neural networks. Assembler Encoding represents neural network in a form of the so-called Assembler Encoding Program. The task of the program is to create Network Definition Matrix maintaining all the information necessary to construct the network. In Assembler Encoding different components of Assembler Encoding Programs evolve in separate populations. The evolution in each population can be controlled by a different genetic algorithm. In the experiments reported in the paper the following genetic algorithms were used to control the evolution of programs: Canonical Genetic Algorithm, Steady State Genetic Algorithm and Eugenic Algorithm. The programs created by means of the specified algorithms were used to create neural networks. Then, the networks were tested in the so-called predator-prey problem. The results of the experiments are presented at the end of the paper.

keywords: evolutionary neural networks, genetic algorithms, grasping


Enslavement and control in dq synchronous frame for a cascade using multilevel inverter NPCDownload full PDF article
F. Bouchafaa, D. Beriber
(Laboratory of Instrumentation and Engineering System, University of Science and Technology Houari Boumediene, Algiers, Algeria)
M.S. Boucherit, E.M. Berkouk
(Laboratory of Process Control, Department Electrical Engineering, Polytechnic National School Algiers, Algiers, Algeria)

The aim of this paper is to give a solution to unbalance problem of the input DC voltages of the nine-level NPC-VSI in dq synchronous frame. For that, we used in high voltage and great power applications, one two-level PWM current rectifier-nine-level NPC VSI-PMSM cascade. In the first part, we develop a knowledge model of the Nine-level NPC VSI and propose a space vector modulation of this converter using eight bipolar carriers. After that, this study shows particularly the problem of the stability of the DC voltages of the inverter and its consequence on the performances of the PMSM speed control. Then, we propose a solution to the problem by employed closed loop regulation using classic PI controller mode in d-q synchronous frame. We add a Clamping bridge to stabilize the eight DC input voltages of the nine-level NPC VSI. This cascade found applications in great power and high voltage fields as electrical traction.

keywords: NPC inverter, clamping bridge, rectifier multilevel, PWM strategy, regulation current, enslavement


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