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<title>Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics</title>
<link href="http://arthra.ugal.ro/handle/123456789/9295" rel="alternate"/>
<subtitle/>
<id>http://arthra.ugal.ro/handle/123456789/9295</id>
<updated>2026-04-05T15:10:14Z</updated>
<dc:date>2026-04-05T15:10:14Z</dc:date>
<entry>
<title>Smart Home Prototype Remotely Controlled Through Internet</title>
<link href="http://arthra.ugal.ro/handle/20.500.14043/25076" rel="alternate"/>
<author>
<name>Timis, Grigore Mihai</name>
</author>
<author>
<name>Sandu, Elena</name>
</author>
<id>http://arthra.ugal.ro/handle/20.500.14043/25076</id>
<updated>2023-07-14T10:16:25Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Smart Home Prototype Remotely Controlled Through Internet
Timis, Grigore Mihai; Sandu, Elena
The project aims to implement and use of an autonomous smart home&#13;
prototype system, to remotely monitor the important parameters like temperature,&#13;
atmospheric pressure, gas leaks, or burglary
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI&#13;
FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X&#13;
ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Remote-Controlled Gesture Based Robotic Arm</title>
<link href="http://arthra.ugal.ro/handle/20.500.14043/25075" rel="alternate"/>
<author>
<name>Timis, Grigore Mihai</name>
</author>
<author>
<name>Gafencu, Natanel</name>
</author>
<id>http://arthra.ugal.ro/handle/20.500.14043/25075</id>
<updated>2023-07-14T10:29:10Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Remote-Controlled Gesture Based Robotic Arm
Timis, Grigore Mihai; Gafencu, Natanel
The project aims to implement the functionality of a robotic arm able to be&#13;
guided through a web page, with the purpose to move an object from point A to point B.&#13;
Also, the robotic arm can work in an automated way, in which the initialization phase is&#13;
executed.
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI&#13;
FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X&#13;
ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Optimal Control Using Evolutionary Algorithms</title>
<link href="http://arthra.ugal.ro/handle/20.500.14043/25074" rel="alternate"/>
<author>
<name>Mînzu, Viorel</name>
</author>
<id>http://arthra.ugal.ro/handle/20.500.14043/25074</id>
<updated>2023-07-14T10:29:39Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Optimal Control Using Evolutionary Algorithms
Mînzu, Viorel
Optimal Control Problems involve dynamic systems that are subject to&#13;
algebraic or differential constraints and whose evolution may be characterized by a&#13;
performance index. Such a problem can be solved by the well known Evolutionary&#13;
Algorithms. This paper proposes an evolutionary algorithm having usual characteristics&#13;
concerning the mutation and crossover operators. Generally speaking, the EA gave good&#13;
results and the convergence was acceptable. But for a specific problem instance, the&#13;
evolutionary algorithm underperformed on the first simulation series. Therefore, the&#13;
paper proposes a new mutation operator having adaptive Gaussian standard deviation of&#13;
genes' values variation.
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI&#13;
FASCICLE III, 2017, VOL. 40, NO. 2, ISSN 2344-4738, ISSN-L 1221-454X&#13;
ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Real-Time Optimal Control Using Particule Swarm Optimization</title>
<link href="http://arthra.ugal.ro/handle/20.500.14043/25073" rel="alternate"/>
<author>
<name>Mînzu, Viorel</name>
</author>
<id>http://arthra.ugal.ro/handle/20.500.14043/25073</id>
<updated>2023-07-14T10:30:05Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Real-Time Optimal Control Using Particule Swarm Optimization
Mînzu, Viorel
Optimal Control Problems can be solved by a well known metaheuristic,&#13;
Particle Swarm Optimization. A version of this metaheuristic has been used to develop&#13;
an algorithm that solves such a problem. The solution can be used to control the&#13;
considered dynamic system only in open loop. Therefore, the main problem is how to&#13;
use the PSO algorithm in a control structure that works in closed loop. The solution of&#13;
this problem is to use the well known control structure Model Predictive Control whose&#13;
controller has an optimization algorithm that minimizes the prediction error. The&#13;
proposal of this work is to confer this role to the PSO based algorithm because it would&#13;
minimize implicitly the prediction error.
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
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