Scientific papers - Annals of "Dunărea de Jos" University of Galați - Analele Ştiinţifice ale Universităţii "Dunărea de Jos" din Galaţihttp://arthra.ugal.ro/xmlui/handle/123456789/25232018-02-20T23:16:23Z2018-02-20T23:16:23ZSmart Home Prototype Remotely Controlled Through InternetTimis, Grigore MihaiSandu, Elenahttp://arthra.ugal.ro/xmlui/handle/123456789/50402018-01-09T22:45:38Z2017-01-01T00:00:00ZSmart Home Prototype Remotely Controlled Through Internet
Timis, Grigore Mihai; Sandu, Elena
The project aims to implement and use of an autonomous smart home
prototype system, to remotely monitor the important parameters like temperature,
atmospheric pressure, gas leaks, or burglary
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI
FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X
ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS
2017-01-01T00:00:00ZRemote-Controlled Gesture Based Robotic ArmTimis, Grigore MihaiGafencu, Natanelhttp://arthra.ugal.ro/xmlui/handle/123456789/50392018-01-09T22:45:37Z2017-01-01T00:00:00ZRemote-Controlled Gesture Based Robotic Arm
Timis, Grigore Mihai; Gafencu, Natanel
The project aims to implement the functionality of a robotic arm able to be
guided through a web page, with the purpose to move an object from point A to point B.
Also, the robotic arm can work in an automated way, in which the initialization phase is
executed.
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI
FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X
ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS
2017-01-01T00:00:00ZOptimal Control Using Evolutionary AlgorithmsMînzu, Viorelhttp://arthra.ugal.ro/xmlui/handle/123456789/50382018-01-09T22:45:37Z2017-01-01T00:00:00ZOptimal Control Using Evolutionary Algorithms
Mînzu, Viorel
Optimal Control Problems involve dynamic systems that are subject to
algebraic or differential constraints and whose evolution may be characterized by a
performance index. Such a problem can be solved by the well known Evolutionary
Algorithms. This paper proposes an evolutionary algorithm having usual characteristics
concerning the mutation and crossover operators. Generally speaking, the EA gave good
results and the convergence was acceptable. But for a specific problem instance, the
evolutionary algorithm underperformed on the first simulation series. Therefore, the
paper proposes a new mutation operator having adaptive Gaussian standard deviation of
genes' values variation.
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI
FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X
ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS
2017-01-01T00:00:00ZReal-Time Optimal Control Using Particule Swarm OptimizationMînzu, Viorelhttp://arthra.ugal.ro/xmlui/handle/123456789/50372018-01-09T22:45:37Z2017-01-01T00:00:00ZReal-Time Optimal Control Using Particule Swarm Optimization
Mînzu, Viorel
Optimal Control Problems can be solved by a well known metaheuristic,
Particle Swarm Optimization. A version of this metaheuristic has been used to develop
an algorithm that solves such a problem. The solution can be used to control the
considered dynamic system only in open loop. Therefore, the main problem is how to
use the PSO algorithm in a control structure that works in closed loop. The solution of
this problem is to use the well known control structure Model Predictive Control whose
controller has an optimization algorithm that minimizes the prediction error. The
proposal of this work is to confer this role to the PSO based algorithm because it would
minimize implicitly the prediction error.
2017-01-01T00:00:00Z