Dissertações em Engenharia Elétrica (Mestrado) - PPGEE/ITEC

URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/2316

O Mestrado Acadêmico inicou-se em 1986 e pertence ao Programa de Pós-Graduação em Engenharia Elétrica (PPGEE) do Instituto de Tecnologia (ITEC) da Universidade Federal do Pará (UFPA).

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Agora exibindo 1 - 20 de 127

Acesso aberto (Open Access)
Abordagem de leitura de texto em imagens provenientes de redes sociais para ganho em disponibilidade de dados
(Universidade Federal do Pará, 2017-10-19) FERREIRA NETO, Luiz Cortinhas; SANTANA, Ádamo Lima de; http://lattes.cnpq.br/4073088744952858
This work aims to propose a methodological adaptation in the process of social network analisys, based on the inclusion of text extracted from images that are obtained from the social networks themselves. Highly important for market intelligence, product analysis, CRM and SCRM processes, since these are market trends used by large companies, thus, promotes financial and research incentives. The adaptation proposed in here has its importance based on data availability, which has become increasingly restricted, thanks to the use of APIs, interfaces of data access management where, in several different ways, each social network limits the data query, either by type of data, quantity or collected window. This research intends to prove, through case studies, that there is relevant information gain to sentiment analyses process when textual data derived from images are used.
Acesso aberto (Open Access)
Acionamento vetorial por controlador fuzzy modo deslizante de motor de indução
(Universidade Federal do Pará, 2010-05-20) TEIXEIRA, Raphael Barros; BARRA JUNIOR, Walter; http://lattes.cnpq.br/0492699174212608; BARREIROS, José Augusto Lima; http://lattes.cnpq.br/1246564618922453
This work studies the technique of vector drive applied to three-phase induction motor (IM), using as the control strategy fuzzy control and sliding mode control in a setting here called Fuzzy Sliding Mode Controller (FSMC) . A dynamic model is developed at IM in variable ’d - q’ which led to an electromechanical model state space that exhibits strong nonlinearities . In this model the conditions that allow vector control decouple the torque and flux at IM, so that their dynamic behavior is similar to that observed in a DC machine are applied. In this condition, the proportional and integral type (PI) controllers are implemented to control motor speed and current loops, and computational simulations for tracking speed and load disturbance are carried out, which lead to satisfactory results from the point of view dynamic. In order to investigate the performance of nonlinear strategies in this approach the study of control technique the switching structure of the sliding mode type is displayed. A conventional sliding mode controller is implemented, where it appears that, despite the excellent dynamic performance of the occurrence of the phenomenon of ”chettering”precludes the application of this strategy in actual tests. Thus, FSMC control strategy is proposed, trying to associate the good result obtained with the dynamic sliding mode controller and the suppression of the chettering, which is achieved by defining a layer switching fuzzy type. The FSMC proposed controller is subjected to the same computational tests that the PI controller, leading to superior results to the latter the transient dynamic response, but with the presence of steady-state error. To attack this problem is implemented one of the strategies Fuzzy FSMC combination with the action of PI control, where the first seeks to operate in remote regions of the switching surface and the second seeks to introduce the effect of integral action near the surface. The results show the feasibility of the strategy in variable speed drive that demand high dynamic performance.
Acesso aberto (Open Access)
Algoritmo de Sleep Mode para redes LTE em conectividade dual
(Universidade Federal do Pará, 2015-09-18) ARAUJO, Ivanes Lian Costa; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284
This work presents the analysis of the benefits of dual connectivity in Long Term Evo- lution (LTE) networks, and proposes a sleep mode algorithm in order to increase even more the network efficiency. Among the sleep mode algorithms for dual connectivity in literature, none makes an approach regarding the small cells backhaul capacity for the activation decision of these small cells. The lack of an appropriate sleep mode process that takes backhaul issues into consideration can lead to network bottlenecks, greater latency and packet drops. For this reason, the algorithm highlights relevant aspects in LTE networks, and quantifies the benefits obtained not only by the use of the algorithm but also by the use of the dual connectivity itself. To accomplish this goal, several simulations were performed with the software Riverbed Mode- ler, based on 3rd Generation Partnership Project (3GPP) parameters and papers from this area. The simulation results show that lower delay levels can be achieved with the use of dual con- nectivity, and even lower results can be obtained with the use of the proposed algorithm, which also contributes to a more energy efficient usage of network resources. Furthermore, results regarding backhaul traffic in the core network and among small cells are also analyzed. The results, in general, show several advantages of dual connectivity and the proposed algorithm in LTE networks.
Acesso aberto (Open Access)
Amazonsocialdtn: IBR-DTN com bluetooth para inclusão digital na Amazônia
(Universidade Federal do Pará, 2015-05-29) FERREIRA, Ronedo de Sá; CERQUEIRA, Eduardo Coelho; http://lattes.cnpq.br/1028151705135221
Despite the evolution in deployed infrastructure and in the way that people access information, still there are those who are socially excluded and have no access to information due to their geographic location (e.g., riverside/countryside communities). This paper proposes an extension to a DTN architecture implementation to allow the dissemination of information in such communities, including educational short-video clips and audio books. The IBR-DTN architecture is complemented with a Bluetooth Convergence Layer, to facilitate the exchange of information over this short-range wireless technology, and with a Bundle Compression mechanism that aims at improving data exchange in short-lived opportunistic contacts happening among nodes. Experiments in a small-scale testbed and in a large-scale simulator environment show that nodes are indeed able to efficiently use contact opportunities to exchange an increased amount of data, allowing people in riverside communities to receive more content related to digital inclusion services.
Acesso aberto (Open Access)
Amplificador para registro de potenciais corticais
(Universidade Federal do Pará, 2005-02-02) CARDOSO, Marcelo Ramos; SILVA, Ivan Sebastião de Souza e; http://lattes.cnpq.br/2033251521156161
Many organs in the human body manifest their functions through electric activities. Measurements of these and other biopotentials can provide vital clues that permits study as real functions of the organs. These measurements are not an easy task because envolves extremely low amplitudes data acquisition, between 1 μV and 10 mV, and also because these bioelectric recordings are often disturbed by an excessive level of interference presents, resulting in signal/noise degradation. Therefore, the biopotential amplifier project must be associated with precaution to final circuit can meet great characteristics in such signals measureming. This work shows a study about biopotentials origins, their characteristics, circuits used in signal amplifiering and filtering, interferences present in measurement systems and some circuits used to reduce such interferences. Thereafter, is developed a cortical biopotential amplifier with filtering and gain blocks. The tests with amplifier where realized by registering a visual evoked potential and the electroencephalogram. In the experimental results is possible to observe a satisfactory equipment performance.
Acesso aberto (Open Access)
Análise de correlação de focos de queimadas com variáveis climáticas no município de Marabá
(Universidade Federal do Pará, 2016-03-10) ARANHA, Priscila Siqueira; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The Amazon is composed of a wide variety of ecosystems and forms of occupation, taking a wide variety of settings, including spatial, social, economic, agronomic, which vary from region to region. From this perception of the Amazon region, this work presents an investigative study scenarios and their correlations, in order to quantify and qualify the strength of relationships and dependencies between the different variables involved, such as meteorological factors (relative humidity, rainfall, speed wind and temperature) and the number of fire outbreaks, in order to enable the analysis of the reasons that influence the environmental degradation of the study area. In order to validate the proposed methodology, we conducted a study in the city of Maraba area of settlement projects, whose focus is to analyze the correlation between climate variables and fire outbreaks in the region, using three study scenarios. Therefore, we use some statistical parameters, the Pearson correlation and Bayesian networks in order to establish the degree of dependency between the different variables of interest. From such studies, it is possible to make a set of inferences about the problem under study and possible alternatives, which more balance scenarios for the benefit of environmental sustainability.
Acesso aberto (Open Access)
Análise de desempenho de pará-raios de ZnO sob diversos cenários de poluição utilizando método de elementos finitos
(Universidade Federal do Pará, 2022-08-16) LISBOA, Mellina Modesto; NUNES, Marcus Vinícius Alves; http://lattes.cnpq.br/9533143193581447
Metal-Oxide Surge Arrester is one of the protection devices of vital importance for Electric Power Systems and the equipment that composes them, since it ensures the reliability and continuity of operation of these systems based on their ability to attenuate transient overvoltage resulting from lightning strikes or switching surges. This equipment is formed by blocks of variable ZnO resistors, associated in series or in parallel, whose voltage-current curve presents high non-linearity. In view of the relevance of using the lightning rod, it is necessary to investigate its operating conditions. In the literature, several procedures and techniques are found for this purpose, among which monitoring through measurement and analysis of the leakage current stands out, since this represents one of the main factors that contribute to the degradation of this equipment. Given this context, the present master's dissertation implements a two-dimensional model of a 30 kV Zinc Oxide lightning arrester, using the Finite Element Method, to obtain the leakage current curves, electrical potential distributions, current density and that of electric field lines, when this device is subject to voltage variations and pollution conditions. The results show a significant increase in these measured quantities as the level of pollution intensifies, as well as with the increase in voltage levels.
Acesso aberto (Open Access)
Análise de handover a partir do uso de femtocells em redes LTE: abordagem baseada em simulação discreta
(Universidade Federal do Pará, 2014-06-13) SILVA, Ketyllen da Costa; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The volume of data traffic in mobile networks is growing exponentially. The explosion of mobile devices and applications in recent years has led to an overload of the network infrastructure responsible for disposing of this traffic, thus affecting the performance of the network as the user experience. One of the key elements in the networks (LTE) Long Term Evolution is the possibility of deploying multiple femtocells for the improvement of coverage and data rate. However, arbitrary overlapping coverage of these cells makes the handover mechanism complex and challenging. Thus, this dissertation proposes a methodology to study the impact of handover in LTE networks with femtocells. From a discrete simulation approach, the effects of the deployment of femtocells were evaluated. This study aimed to measure the impact and correlation of the use of femtocell parameters of QoS (Quality of Service) and performance indicators handover.
Acesso aberto (Open Access)
Análise de modelos, simulações e ensaios de impulso em um transformador de distribuição.
(Universidade Federal do Pará, 2019-03-12) CARDOSO, Antonio Fernando Martins; NUNES, Marcus Vinícius Alves; http://lattes.cnpq.br/9533143193581447
Acesso aberto (Open Access)
Análise de propagação de ondas eletromagnéticas em ambiente indoor: modelo do caminho dominante versus traçado de raios e FDTD
(Universidade Federal do Pará, 2011-03-11) LIMA, Bruno Wallacy Martins; DMITRIEV, Victor Alexandrovich; http://lattes.cnpq.br/0684541646225359
This work deals with some models propagation of electromagnetic waves. Were first analyzed models related to the prediction signal electromagnetic indoor environments. The models used in this work were the ray tracing, path dominant Energy (DPM) and the FDTD. For the first two models we used commercial software and the FDTD method was developed an algorithm for which the signal is analyzed in an environment with the same geometry used software. The results for the reception points analysis provided by the three models are very close the values of literature. There is the influence of propagation phenomena in signal strength. The relevance of this work is in fact not there, in the literature, studies that compare the three prediction models mentioned, and to propose topics for future research.
Acesso aberto (Open Access)
Análise de propagação de ondas eletromagnéticas na faixa de microondas em ambiente indoor com método 3D FDTD e FDTD 2D modificado
(Universidade Federal do Pará, 2012-03-08) RIBEIRO, Dionisio Raony de Souza; DMITRIEV, Victor Alexandrovich; http://lattes.cnpq.br/3139536479960191
This work presents tools of low computing cost and good accuracy to characterize the electromagnetic microwave propagation in indoor environments. It was studied the Finite- Difference Time-Domain (FDTD) method applied to model the propagation in these environments. The study deals with the implementing of a new approach of this method which converses a 3D problem in a 2D one. It is presented a comparative study between the two formulation of the method regarding accuracy, speed and the requirement of computing resources. To apply the 3D formulation, a software was written in FORTRAN with the FDTD 3D parallelized by the MPI library. Then, a cluster with Beowulf architecture was set up run the routine. After the validation of the modified FDTD method, it is applied to characterize an indoor environment regarding its losses. This data was used to obtain the statistical distribution of the parameter n of propagation loss of the environment. The contribution of this work lays on the fact that the researched literature do not present the modified FDTD 2D method applied to indoor environments and the use of simulated data to statistical analysis.
Acesso aberto (Open Access)
Análise de sensor plasmônico na configuração emissão acoplada via função de Green 3D
(Universidade Federal do Pará, 2018-09-28) CRUZ, André Felipe Souza da; DMITRIEV, Victor Alexandrovich; http://lattes.cnpq.br/3139536479960191; COSTA, Karlo Queiroz da; http://lattes.cnpq.br/7932708321834647
In the present work, a theoretical study on a plasmon resonance sensor in the Surface Plasmon Coupled Emission (SPCE) configuration is presented. Coupled to the sensor structure is a microfluidic channel containing suspended target particles (gold nanoparticles functionalized to attract fluorescent molecules), which when excited and immobilized upon the sensor structure can be efficiently modeled as a planar array of induced dipoles. The electromagnetic modeling of the device was performed by the magnetic potential, defined by means of the Periodic Green Function (PGF) 3D. The electromagnetic fields are presented in terms of the discrete spectral representation by the complex double Fourier series, and to reduce the number of terms in the series, it is proposed the use the Euler identity. Firstly, parametric field results are presented in the sensor structure, and then the spectral analysis of the magnetic potential field is performed, where the SPP and SW poles appear in the spectral domain. For the validation of the method, the limit case was analyzed, in which the particles are distant from each other, and compared with published works. Finally, results and discussions about the convergence of series in the cosine PGF are presented. The results show good agreement, showing that the theoretical method of PGF 3D is efficient, and can be used as a tool in the design of this sensing device.
Acesso aberto (Open Access)
Análise de um modelo energético baseado no uso da biomassa residual local em comunidades isoladas no entorno da UHE de Tucuruí, PA
(Universidade Federal do Pará, 2017-01-16) BRASILEIRO, Bruna Chaves; ROCHA, Brigida Ramati Pereira da; http://lattes.cnpq.br/9943372249006341
The Amazon region, although its great environmental and economic importance, still has a low capacity for an effective implementation of inclusive energy actions to provide greater economic and social development directed mainly to traditional Amazonian populations. The purpose of this dissertation is to study the potential of the existing resources in favor of isolated communities through of the Integrated Resource Planning, since locally available energy resources do not receive enough attention and investments because they are considered low-profit markets making it dependent on fossil fuels. The research analyzed a case study performed in Tucuruí municipality, Pará State, where the second largest Brazil hydropower plant (with an installed capacity of 8.370 MW) is located, which creates a scenario of social-spatial conflicts involving many groups, including traditional populations that are affected by the construction of the power plant. The studied area is located on islands around the lake of the Hydroelectric Plant of Tucuruí, forming the Alcobaça Sustainable Development Reserve (SDR). Resident populations in these islands face difficulties on accessing electricity, as well as precariousness of public services in health, sanitation, infrastructure and education. Most of the region's families survive on even minimum wages monthly and often rely on local trade for the outflow of production, especially fish. A research study was conducted to examine a feasible model for the region, focused on the use of the local potential of biomass (açaí lumps) for electric power generation in isolated residences.
Acesso aberto (Open Access)
Análise de um regulador de velocidade digital para a Usina Hidroelétrica de Curuá-Una
(Universidade Federal do Pará, 2011-01-21) ARAGON, Luis David Gonçalves; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
This paper makes an analyze of a digital controller for the speed control in a hydroelectric factory of Curuá-Una. It’s used two design strategies, one that uses the indirect approach where the controller design is still done on the continues plane and then discretized and direct strategy , where the controller is designed entirely in the discrete plane. The knowledge generated using simulated tests is of great importance because it is one of the major tools to evaluate the performance of digital controllers in a secure environment. The study also contribute with the replacement of old equipment ( with a discontinued production) for digitalized equipment that allow the implementation of modern controllers, this way providing the replacement of classic continues controllers for advanced modern digital controllers, maximizing the efficiency of the system under adverse operation conditions. The work raises the differences, advantages and disadvantages of each controller, in order to assist in choosing the most suitable driver for the design of advanced controllers: adaptive control, fuzzy control or neural control. The difficulties of design and simulation results were the main indicators in assessments of the two digital speed regulator (SR) projected. In overall the SR Direct Digital had the best performance, stability and less effort, however, SR indirect digital performance showed similar, less degradation due to nonlinearities and less design effort.
Acesso aberto (Open Access)
Análise de um sensor baseado em ressonância de superfície de plasma acoplado a um arranjo periódico de nanopartículas metálicas
(Universidade Federal do Pará, 2016-07-05) COSTA, Jefferson Souza; COSTA, Karlo Queiroz da; http://lattes.cnpq.br/7932708321834647
SPR sensors are photonic devices based on surface plasma resonance (SPR), which consists of longitudinal collective oscillation of free electron gas at the interface between a metal and a dielectric. Due to its surface stimuli sensitive response, the use of SPR sensors has been reported for various applications. In this paper, we evaluate an SPR sensor coupled to the periodic array of metal (gold) nanoparticles, which can represent the surface immobilization of metal nanopollutants generated, for example, from the nanocomposites manufacturing process. The the SPR sensor multilayer structure is compounded by a prism, a gold thin film and a SiO2 layer. The sensor response to variations in the nanoparticles array is theoretically analyzed by an analytical model based on the effective permittivity of Maxwell Garnett and the generalized reflection coefficient for planar multilayer structure. The analytical model is validated by comparison with experimental and numerical results, showing great accuracy for a given range of values of the periodic array parameters. The evaluation the allowed wave modes of the sensor structure and the multi-layer structure optimization, for the detection and characterization of static parameters of metal nanoparticles, are the main objectives of the analysis developed in this work.
Acesso aberto (Open Access)
Uma Análise do uso de informacões multiescala no mapeamento da PSNR para pontuacão perceptual
(Universidade Federal do Pará, 2019-11-18) GONÇALVES, Luan Assis; ZAMPOLO, Ronaldo de Freitas; http://lattes.cnpq.br/9088524620828017; BARROS, Fabrício José Brito; http://lattes.cnpq.br/9758585938727609
The prediction of visual quality is crucial in image and video systems. For this task, image quality metrics based on the mean squared error prevail in the field, due to their mathematical straightforwardness, even though they do not correlate well with the visual human perception. Latest achievements in the area support that the use of convolutional neural networks (CNN) to assess perceptual visual quality is a clear trend. Results in other applications, like blur detection and de-raining, indicate the combination of information from different scales improves the CNN performance. However, to the best of our knowledge, the best way to embody multi-scale information in visual quality characterization is still an open issue. Thus, in this work, we investigate the influence of using multi-scale information to predict the perceptual image quality. Specifically, we propose a single-stream dense network that estimates a spatially-varying parameter of a logistic function used to map values of a objective visual quality metric to subjective visual quality scores through the reference image. The proposed method achieved a reduction of 36.37% and 69.45% for the number of parameters and floating-point operations per second, respectively, and its performance is compared with a competing state-of-the-art approach by using a public image database.
Acesso aberto (Open Access)
Análise dos fatores relacionados ao desempenho das escolas no IDEB: estudo de caso no Estado do Pará
(Universidade Federal do Pará, 2022-02-11) GOMES, Vitor Hugo Macedo; SILVA, Marcelino Silva da
The complexity of identifying all the factors that are related to the performance of schools on the Basic Education Development Index (IDEB) is enormous. In this study, three databases were analyzed with the objective of identifying several factors that correlate with low performance in state schools in the state of Pará. Initially, it was observed through the analysis that 142 municipalities in the state were at risk of not meeting the goal regarding the reduction of school dropouts and, consequently, affecting the performance of schools. This study used educational data mining techniques to, first, select variables with structural characteristics in the teaching environment, comparing the schools with higher and lower performance in IDEB, identifying possible relationships with school dropouts. Then, the Randon Florest (RF) algorithm was used to select the most important variables that directly or indirectly impact the IDEB index. After the selection phase, the variables were submitted to the Linear Regression (LR) algorithm. The results reveal that in the group of schools below average in IDEB, 60.6% reside in families with incomes up to one minimum wage, while 37.5% have incomes above one minimum wage. In the group of schools above average in IDEB, 42.4% live in families with incomes up to one minimum wage, while 51.6% live in families with incomes above one minimum wage. Evidencing that family income is related to better IDEB scores and, consequently, better infrastructure conditions. The results also indicate that the income of students’ families is related to the average family income in the analyzed municipalities. Next, variables related to parents’ income were used to identify a possible relationship between parents’ schooling and students’ performance. Finally, the analysis ends with the analysis of the impact of the Municipal Human Development Index (HDI) on the variables related to the students’ grades, the teachers’ qualifications, and the teachers’ experience in the school environment. The results reveal that there is a correlation between the index and student learning in the classroom. On the other hand, better IDEB scores are directly related to the adequacy of the curriculum to the subject taught, in addition to good working conditions for teachers.
Acesso aberto (Open Access)
Análise e classificação de severidade de COVID-19 usando aprendizado de máquina
(Universidade Federal do Pará, 2022-08-16) LIMA, Marco Antonio Loureiro; CARDOSO, Diego Lisboa; http://lattes.cnpq.br/0507944343674734
In the last years, with the alarming growth of COVID-19 cases, a highly contagious viral disease, new forms of diagnosis and control for this sickness have become necessary to the spread decreases until the population is effectively vaccinated. In this context, Artificial Intelligence (AI) and its subfields appear as possible alternatives to help and provides a response to combat the virus. Some Machine Learning (ML) methods are shown as an answer to control this disease, these methods can perform an analysis based on a set of symptoms presented by the patient and consequently indicating the diagnosis, as well as streamline the treatment process. To achieve this goal in this paper, three models that uses ML methods to predict COVID-19 severity on different degrees are proposed, unlike other works whose purpose was to diagnose only the presence or absence of COVID-19, this paper aims to improve the classification of the patient’s disease state. The results in each of these models are evaluated through the metrics established in this work. Furthermore, there are distinct suggestions to improve the analysis and make predictions with greater accuracy..
Acesso aberto (Open Access)
Análise numérica de sensor de ressonância plasmônica de superfície baseado em grafeno na faixa de terahertz
(Universidade Federal do Pará, 2022-06-24) SILVA, Wêndria Cunha da; COSTA, Karlo Queiroz da; http://lattes.cnpq.br/7932708321834647
This work proposes a Terahertz plasmonic refraction index sensor based on Single-Layer Graphene operating as a refractometer in the Terahertz range. The configuration used is Kretschmann, where one of the variables that monitors the reflectivity is the chemical potential. The sensor was theoretically analyzed by the finite element method (FEM), using a bidimensional-based model structure. In it, the reflectivities and the field distributions were calculated for different parameters, such as sample thickness, operating frequency, incidence angle, chemical potential variation and electrical permittivity. Firstly, a study was made to determine the best operating frequency, the sensor’s angle of incidence and minimum sample thickness that the sample should have Subsequently, the numerical model was compared with the analytical model obtained through two literatures.. From the numerical results, parametric analyzes were performed to verify variations in sensitivity, full width at half maximum (FWHM) and resolution, all parameters of device quality. Numerical results are compared with theoretical concepts available in the literature and in recently published works.
Acesso aberto (Open Access)
Analysis of classical and advanced control techniques tuned with reinforcement learning
(Universidade Federal do Pará, 2023-09-01) SILVA, Daniel Abreu Macedo da; SILVEIRA, Antonio da Silva; http://lattes.cnpq.br/1828468407562753
Control theory is used to stabilize systems and obtain specific responses for each type of process. Classic controllers, such as the PID used in this research, are spread globally in industries because they have well studied topologies in the literature and are easily applied in microcontrollers or programmable lógic devices; advanced ones,such as GMV, GPC and LQR, also used in this work, have some resistance in common applications in base industries, but are widely used in energy, aerospace and robotic systems, since the complexity and structure of these methods generate robustness and reach satisfactory performances for processes that are difficult to control. In this work, these methods are studied and evaluated with a tuning approach that uses re inforcement learning. The tuning methods are used in two forms and are applied to the controllers, these are the Repeat and Improve method and the Differential Games method. The first works using offline iterations, where the process agent is the chosen control technique, which selects performance and robustness indexes as an environment (metric of how the process is evolving), being able to organize an adjustment policy for the controller, which is based on rewarding the weighting factor until reaching the process stopping criterion (desired response). The second method uses reinforcement strategies that reward the controller as the response changes, so the LQR learns the ideal control policies, adapting to changes in the environment, which allows for better performance by recalculating the traditional gains found. With the Ricatti equation for tuning the regulator; in this method, differential games are used as a framework to model and analyze dynamic systems with multiple agents. To validate what is presented, the Tachogenerator Motor and the Ar Drone have been chosen. The Tachogenerator Motor is modeled with least squares estimation in an ARX-SISO topology, in order to evaluate the first tuning method. The Ar Drone is modeled with a state space approach to evaluate the second tuning method.