Gotowe bibliografie tematyczne / ANFIS CONTROLLER

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji

Gotowa bibliografia na temat „ANFIS CONTROLLER”

Autor: Grafiati
Data publikacji: 11 września 2023
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "ANFIS CONTROLLER"

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Sangeetha, J., and P. Renuga. "Recurrent ANFIS-Coordinated Controller Design for Multimachine Power System with FACTS Devices." Journal of Circuits, Systems and Computers 26, no. 02 (2016): 1750034. http://dx.doi.org/10.1142/s0218126617500347.

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This paper proposes the design of auxiliary-coordinated controller for static VAR compensator (SVC) and thyristor-controlled series capacitor (TCSC) devices by adaptive fuzzy optimized technique for oscillation damping in multimachine power systems. The performance of the coordinated control of SVC and TCSC devices based on feedforward adaptive neuro fuzzy inference system (F-ANFIS) is compared with that of the adaptive neuro fuzzy inference system (ANFIS) structure based on recurrent adaptive neuro fuzzy inference system (R-ANFIS) network architecture. The objective of the coordinated control
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Baz, Rachida, Khalid El Majdoub, Fouad Giri, and Ossama Ammari. "Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 2 (2024): 745. http://dx.doi.org/10.11591/ijeecs.v34.i2.pp745-755.

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Electric vehicles (EVs) have gained importance in recent years, prompting the development of several control systems to improve their efficiency and performance. In this work, a quarter electric vehicle (QEV) was controlled using a conventional proportional integral derivative (PID) and fuzzy controller to examine and compare with the response of the adaptive neuro-fuzzy inference system (ANFIS) controller. The response of the ANFIS controller was evaluated using MATLAB/Simulink according to different parameters and compared with those of other controllers. In addition, the simulation was base
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Baz, Rachida, Khalid El Majdoub, Fouad Giri, and Ossama Ammari. "Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 2 (2024): 745–55. https://doi.org/10.11591/ijeecs.v34.i2.pp745-755.

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Electric vehicles (EVs) have gained importance in recent years, prompting the development of several control systems to improve their efficiency and performance. In this work, a quarter electric vehicle (QEV) was controlled using a conventional proportional integral derivative (PID) and fuzzy controller to examine and compare with the response of the adaptive neuro-fuzzy inference system (ANFIS) controller. The response of the ANFIS controller was evaluated using MATLAB/Simulink according to different parameters and compared with those of other controllers. In addition, the simulation was base
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P, Sobha Rani, Padma R, Sarveswara Prasad R, and Rathnakar Kumar P. "Enhancement of power quality in grid connected PV system." Indian Journal of Science and Technology 13, no. 35 (2020): 3630–41. https://doi.org/10.17485/IJST/v13i35.1266.

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Abstract <strong>Background/Objectives:</strong>&nbsp;In grid connected photo voltaic systems inverter is the key element. The inverter is required to shape dc current into sinusoidal current and provide fast response under various disturbances. The quality of power injected into the grid depends on proper inverter control. The objective of this paper is reducing harmonics and to improve power factor in grid connected system with balanced and unbalanced loads.<strong>Methods/Statistical analysis:</strong>&nbsp;In this study, three control mechanisms, adaptive neuro fuzzy inference system (ANFI
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Kheioon, Imad A., Raheem Al-Sabur, and Abdel-Nasser Sharkawy. "Design and Modeling of an Intelligent Robotic Gripper Using a Cam Mechanism with Position and Force Control Using an Adaptive Neuro-Fuzzy Computing Technique." Automation 6, no. 1 (2025): 4. https://doi.org/10.3390/automation6010004.

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Manufacturers increasingly turn to robotic gripper designs to improve the efficiency of gripping and moving objects and provide greater flexibility to these objects. Neuro-fuzzy techniques are the most widespread in developing gripper designs. In this study, the traditional gripper design is modified by adding a suitable cam that makes it compatible with the basic design, and an adaptive neuro-fuzzy inference system (ANFIS) is used in a MATLAB Simulink environment. The developed gripper investigates the follower path concerning the cam surface curve, and the gripper position is controlled usin
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Rosyid, Abdur, Mohanad Alata, and Mohamed El Madany. "Adaptive Neuro-Fuzzy Inference System Controller for Vibration Control of Reduced-Order Finite Element Model of Rotor-Bearing-Support System." International Letters of Chemistry, Physics and Astronomy 55 (July 2015): 1–11. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.55.1.

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This paper evaluates the use of adaptive neuro-fuzzy inference system (ANFIS) controller to suppress the vibration in a rotor-bearing-support system, and compare the performance to LQR controller. ANFIS combines the smooth interpolation of fuzzy inference system (FIS) and the learning capability of adaptive neural network. The ANFIS controller design starts with initialization which includes loading the training data and generating the initial FIS. In this case, the gain values obtained from the LQR controller design previously conducted were used as training data for the ANFIS controller. Aft
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Rosyid, Abdur, Mohanad Alata, and Mohamed El Madany. "Adaptive Neuro-Fuzzy Inference System Controller for Vibration Control of Reduced-Order Finite Element Model of Rotor-Bearing-Support System." International Letters of Chemistry, Physics and Astronomy 55 (July 3, 2015): 1–11. http://dx.doi.org/10.56431/p-q1glae.

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This paper evaluates the use of adaptive neuro-fuzzy inference system (ANFIS) controller to suppress the vibration in a rotor-bearing-support system, and compare the performance to LQR controller. ANFIS combines the smooth interpolation of fuzzy inference system (FIS) and the learning capability of adaptive neural network. The ANFIS controller design starts with initialization which includes loading the training data and generating the initial FIS. In this case, the gain values obtained from the LQR controller design previously conducted were used as training data for the ANFIS controller. Aft
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Manku Priya. "Adaptive Control of Three-Level UPQC via ANFIS for Enhanced Power Quality: A MATLAB/Simulink-Based Evaluation." Journal of Electrical Systems 20, no. 11s (2024): 1150–65. https://doi.org/10.52783/jes.7393.

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This paper presents a comprehensive study of a three-level Unified Power Quality Conditioner (UPQC) controlled by Adaptive Neuro-Fuzzy Inference System (ANFIS) and its simulation in MATLAB/Simulink. The UPQC is designed to enhance power quality by simultaneously mitigating voltage sags, swells, and harmonic distortions while providing voltage regulation. The proposed ANFIS controller leverages the advantages of both fuzzy logic and neural networks, allowing for adaptive learning and improved performance in dynamic environments. Simulation results demonstrate the effectiveness of the ANFIS cont
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Rakhi, S. Ambhore, B. Mandake Yogesh, and S. Bankar Deepak. "Simulation and Analysis of Performance of SRM by Using Different Controller." Indian Journal of Science and Technology 16, no. 25 (2023): 1910–17. https://doi.org/10.17485/IJST/v16i25.1166.

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Abstract <strong>Objectives:</strong>&nbsp;With concerns about energy efficiency, Switched Reluctance Motors (SRM) have piqued the interest of researchers in the fields of Electric Vehicle (EV) due to their robust construction, fault-tolerant operation, high starting torque without the problem of excessive inrush current, and highspeed operation. The goal of this research is Simulation and Analysis of Performance of SRM by Using Different Controller that is fuzzy logic controllers.&nbsp;<strong>Methods:</strong>&nbsp;This study represents a new modified fuzzy-pi controller (MFPI) and Adaptive
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Ghimire, Sajesan, Bhriguraj Bhattrai, Sulav Shrestha, and Sagar Poudel. "Comparative Assessment of PID and ANFIS Controllers in an Automatic Voltage Regulator." OODBODHAN 7 (December 31, 2024): 50–57. https://doi.org/10.3126/oodbodhan.v7i1.75766.

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This research paper provides an in-depth analysis of the performance characteristics of PID (Proportional-Integral-Derivative) and ANFIS (Adaptive Neuro-Fuzzy Inference System) controllers within Automatic Voltage Regulator (AVR) systems. The primary objective is to evaluate these controllers' behavior and efficacy, potentially extending their application to other control systems in the power sector. Utilizing the robust capabilities of MATLAB-SIMULINK, the PID controller was finely tuned, while the ANFIS controller was trained using carefully selected data. The findings highlight the ANFIS co
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Rozprawy doktorskie na temat "ANFIS CONTROLLER"

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Martins, Jos? Kleiton Ewerton da Costa. "An?lise de diferentes t?cnicas de controle na estrutura do ANFIS modificado." PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA EL?TRICA E DE COMPUTA??O, 2017. https://repositorio.ufrn.br/jspui/handle/123456789/24224.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-11-01T21:47:48Z No. of bitstreams: 1 JoseKleitonEwertonDaCostaMartins_DISSERT.pdf: 3450112 bytes, checksum: 43beab3e6259be22eeed518fd67eaefc (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-11-08T21:43:16Z (GMT) No. of bitstreams: 1 JoseKleitonEwertonDaCostaMartins_DISSERT.pdf: 3450112 bytes, checksum: 43beab3e6259be22eeed518fd67eaefc (MD5)<br>Made available in DSpace on 2017-11-08T21:43:16Z (GMT). No. of bitstreams: 1 JoseKleitonEwertonDaCostaMartins_DISSERT.pdf: 345011
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Lazzari, Márcia Cristina. "Os anéis da serpente: dispositivos de controle e tecnologias de proteção." Pontifícia Universidade Católica de São Paulo, 2008. http://tede2.pucsp.br/handle/handle/2845.

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Made available in DSpace on 2016-04-25T20:22:29Z (GMT). No. of bitstreams: 1 Marcia Cristina Lazzari.pdf: 1055866 bytes, checksum: 7e37be836bb85dd4fd0ae4f8dfcf4fae (MD5) Previous issue date: 2008-10-08<br>This work analyze the practices and the discourses of so-called Protection Network, defined as a group of institutions that confront the violations of the rights of children and young people, taking as parameter the Tutelary Councils (TC) and its association with different advisory body. Sustained by the power from the integration of public and private institutions, were mapped movements, a
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Lima, Fábio. "Estimador neuro-fuzzy de velocidade aplicado ao controle vetorial sem sensores de motores de indução trifásicos." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-20092011-150232/.

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Este trabalho apresenta uma alternativa ao controle vetorial de motores de indução, sem a utilização de sensores para realimentação da velocidade mecânica do motor. Ao longo do tempo, diversas técnicas de controle vetorial têm sido propostas na literatura. Dentre elas está a técnica de controle por orientação de campo (FOC), muito utilizada na indústria e presente também neste trabalho. A principal desvantagem do FOC é a sua grande sensibilidade às variações paramétricas da máquina, as quais podem invalidar o modelo e as ações de controle. Nesse sentido, uma estimativa correta dos parâmetros d
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Rodrigues, Marconi C?mara. "T?cnicas inteligentes h?dridas para o controle de sistemas n?o lineares." Universidade Federal do Rio Grande do Norte, 2006. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15349.

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Made available in DSpace on 2014-12-17T14:55:48Z (GMT). No. of bitstreams: 1 MarconiCR.pdf: 3477416 bytes, checksum: 7bf9d3b9014c2ba726d8694085022188 (MD5) Previous issue date: 2006-02-17<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>A neuro-fuzzy system consists of two or more control techniques in only one structure. The main characteristic of this structure is joining one or more good aspects from each technique to make a hybrid controller. This controller can be based in Fuzzy systems, artificial Neural Networks, Genetics Algorithms or rein forced learning techniques.
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Fonseca, Carlos Andr? Guerra. "Estrutura ANFIS modificada para identifica??o e controle de plantas com ampla faixa de opera??o e n?o linearidade acentuada." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15222.

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Made available in DSpace on 2014-12-17T14:55:11Z (GMT). No. of bitstreams: 1 CarlosAGF_TESE.pdf: 1739972 bytes, checksum: 7401db4e68ede642dc9d65e00bd935e6 (MD5) Previous issue date: 2012-12-21<br>In this work a modification on ANFIS (Adaptive Network Based Fuzzy Inference System) structure is proposed to find a systematic method for nonlinear plants, with large operational range, identification and control, using linear local systems: models and controllers. This method is based on multiple model approach. This way, linear local models are obtained and then those models are combined by the p
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Lopes, Jos? Soares Batista. "Estudo e implementa??o da t?cnica de intelig?ncia artificial para o controle de velocidade do motor-mancal com bobinado dividido utilizando o DSP TMS3208F28335." PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA EL?TRICA E DE COMPUTA??O, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/21802.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-01-27T12:26:54Z No. of bitstreams: 1 JoseSoaresBatistaLopes_TESE.pdf: 3701361 bytes, checksum: 945caee9725d682534c235543f919e4b (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-01-30T13:07:29Z (GMT) No. of bitstreams: 1 JoseSoaresBatistaLopes_TESE.pdf: 3701361 bytes, checksum: 945caee9725d682534c235543f919e4b (MD5)<br>Made available in DSpace on 2017-01-30T13:07:29Z (GMT). No. of bitstreams: 1 JoseSoaresBatistaLopes_TESE.pdf: 3701361 bytes, checksum: 945caee9725d682534c2
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Miranda, Leonardo Cunha de. "Artefatos e linguagens de interação com sistemas digitais contemporâneos = os anéis interativos ajustáveis para a televisão digital interativa." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275786.

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Orientador: Maria Cecília Calani Baranauskas<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-16T23:18:27Z (GMT). No. of bitstreams: 1 Miranda_LeonardoCunhade_D.pdf: 4387805 bytes, checksum: b138e75ab0fe002567c99b3af4fd3a50 (MD5) Previous issue date: 2010<br>Resumo: A digitalização da transmissão da televisão terrestre no Brasil e, consequentemente, a possibilidade de oferta de interatividade na televisão estabelece um novo paradigma de interação do telespectador com essa mídia com extremo potencial de impacto social, esp
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Borges, Adroaldo Lazouriano Moreira. "Uma proposta de protocolo token ring sem fio." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24032014-121359/.

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O protocolo Token Ring sem o (WTRP) é um protocolo distribuído de controle de acesso ao meio que provê qualidade de serviço em termos de uso de largura de banda e latência limitada. WTRP consiste de nós (estações) que formam topologicamente um anel. Contudo, quando o número de nós em um anel aumenta a latência aumenta e o tempo de reuso de token por parte de um nó em anel também aumenta. Neste trabalho, apresentamos uma versão extendida de WTRP com foco em reduzir a latência, tempo de reuso de token e permitir encaminhamento de dados entre anéis sem aumentar signicativamente o consumo de energ
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Dalecký, Štěpán. "Neuro-fuzzy systémy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236066.

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The thesis deals with artificial neural networks theory. Subsequently, fuzzy sets are being described and fuzzy logic is explained. The hybrid neuro-fuzzy system stemming from ANFIS system is designed on the basis of artificial neural networks, fuzzy sets and fuzzy logic. The upper-mentioned systems' functionality has been demonstrated on an inverted pendulum controlling problem. The three controllers have been designed for the controlling needs - the first one is on the basis of artificial neural networks, the second is a fuzzy one, and the third is based on ANFIS system.  The thesis is aimed
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Tsung-YangLin and 林琮暘. "Design of H∞ ANFIS-Based Fuzzy Sliding Mode Controller." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/31140767950787712257.

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碩士<br>國立成功大學<br>系統及船舶機電工程學系<br>103<br>In practical, most of physical systems are nonlinear, and the feedback linearization method may be utilized to control the system. However, the system uncertainties and disturbances will affect the feasibility of the controller and make the closed-loop system hard to match the desired performance. To solve this problem, in this thesis, the ANFIS-based H_∞ Fuzzy Sliding Mode Controller is derived to form the proposed robust controller and to meet the pre-specified specifications. The proposed controller is composed of two control components. One component
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Książki na temat "ANFIS CONTROLLER"

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Seminário Proteção Radiológica e Controle Ambiental (1988 Belo Horizonte, Brazil). Seminário Proteção Radiológica e Controle Ambiental: [anais]. Centro de Desenvolvimento da Tecnologia Nuclear, Empresas Nucleares Brasileiras, 1988.

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Simpósio, Nacional de Controle de Erosão (4th 1987 Marília Brazil). Controle de erosão: 4o. Simpósio Nacional de Controle de Erosão, 15 a 19 fev. 87, Marília, SP : anais. Departamento de Aguas e Energia Elétrica, Centro Tecnológico de Hidráulica, 1987.

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Rede Nacional Feminista de Saúde (Brazil), ed. A presença da mulher no controle social das políticas de saúde: Anais da Capacitação de multiplicadoras em controle social das políticas de saúde. Mazza Edições, 2003.

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Simpósio EPUSP sobre Automação e Controle de Processos (1990 Cubatão, São Paulo, Brazil). Simpósio EPUSP sobre Automação e Controle de Processos--SEACOP, Cubatão, 12 e 13 de setembro de 1990: Anais. O Núcleo, 1990.

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Jornada Brasileira de Controle Interno (5th 2003 Rio de Janeiro, Brazil). Anais da V Jornada Brasileira de Controle Interno: 9 a 12 de dezembro de 2003, Rio de Janeiro, RJ. Prefeitura, Controladoria Geral, 2004.

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Jornada Brasileira de Controle Interno (5th 2003 Rio de Janeiro, Brazil). Anais da V Jornada Brasileira de Controle Interno: 9 a 12 de dezembro de 2003, Rio de Janeiro, RJ. Prefeitura, Controladoria Geral, 2004.

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Conferência, Estadual de Saúde de Mato Grosso (4th 2000 Cuiabá Mato Grosso Brazil). Anais da IV Conferência Estadual de Saúde de Mato Grosso: Efetivando o SUS: acesso, qualidade e humanização da atenção à saúde com controle social : I Mostra Estadual de Saúde da Família. Secretaria de Estado de Saúde de Mato Grosso, 2002.

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Rede Nacional Feminista de Sa Ude. A Presenca Da Mulher No Controle Social Das Politicas de Saude: Anais Da Capacitac~ao de Multiplicadoras Em Controle Social Das Politicas de Saude. Mazza Edic~oes, 2003.

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Fontes, Francisco Lucas de Lima, and Mayara Macêdo Melo. ANAIS DO II CONGRESSO ON-LINE NACIONAL DE CIÊNCIAS & SAÚDE (II CONCS). Literacia Cientifica Editora & Cursos, 2022. http://dx.doi.org/10.53524/lit.edt.978-65-84528-09-3.

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Em sua segunda edição, o Congresso On-line Nacional de Ciências &amp; Saúde (CONCS), promovido pela Literacia Científica Editora &amp; Cursos veio com um tema que envolveu Estado e Sociedade na busca pelo fortalecimento do SUS: ” Políticas públicas, democracia e direito à saúde: a multidisciplinaridade como meio para fortalecimento do SUS” . O objetivo do II CONCS foi promover discussão sobre direito à saúde; legislação do SUS; preceitos históricos para construção do SUS; participação, representação, controle social na gestão do SUS; desafios e perspectivas do SUS na atualidade; judicialização
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5a EXPOEPI Mostra Nacional de Experiências Bem-Sucedidas em Epidemiologia, Prevenção e Controle de Doenças, Brasília, DF, 4 a 6 de dezembro de 2005: Anais. Ministério da Saúde, Secretaria de Vigilância em Saúde, 2005.

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Części książek na temat "ANFIS CONTROLLER"

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Bui, Van-Tri, and Dinh-Nhon Truong. "Improvement of ANFIS Controller for SVC Using PSO." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62324-1_25.

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Hadhiq Khan, Shoeb Hussain, and Mohammad Abid Bazaz. "ANFIS Based Speed Controller for a Direct Torque Controlled Induction Motor Drive." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47952-1_71.

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Dixit, Tata Venkat, Anamika Yadav, S. Gupta, and Almoataz Y. Abdelaziz. "Power Extraction from PV Module Using Hybrid ANFIS Controller." In Power Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6151-7_10.

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Shanmugasundaram, R., C. Ganesh, A. Singaravelan, B. Gunapriya, and B. Adhavan. "High-Performance ANFIS-Based Controller for BLDC Motor Drive." In Smart Innovation, Systems and Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3675-2_33.

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Rachananjali, K., K. Bala Krishna, S. Suman, and V. Tejasree. "Modeling of an ANFIS Controller for Series–Parallel Hybrid Vehicle." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7868-2_60.

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Ponce, Pedro, Arturo Molina, Israel Cayetano, et al. "Fuzzy Logic Sugeno Controller Type-2 For Quadrotors Based on Anfis." In Nature-Inspired Computing for Control Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26230-7_8.

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Gandham, Naga Venkata Karthik, and Pragaspathy Subramani. "Performance Evaluation of Off Grid Hybrid Distribution System with ANFIS Controller." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48891-7_1.

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Kumar, Abhishek, and R. Mitra. "Design of ANFIS Controller Based on Fusion Function for Linear Inverted Pendulum." In Advances in Intelligent Systems and Computing. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0740-5_45.

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Sree Varshini, G. Y., S. Charles Raja, and P. Venkatesh. "Design of ANFIS Controller for Power System Stability Enhancement Using FACTS Device." In Lecture Notes in Electrical Engineering. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_113.

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Manjusree, Y., and A. V. V. Sudhakar. "An Intelligent ANFIS Controller based PV Custom Device to enhance Power Quality." In Data Engineering and Communication Technology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0081-4_11.

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Streszczenia konferencji na temat "ANFIS CONTROLLER"

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Mohapatra, Sayaprasad, Lalit Mohan Satapathy, Sanjeeb Kumar Kar, Narayan Nahak, Manoj Kumar Debnath, and Akshaya Kumar Patra. "Design and Analysis of ANFIS Controller based Photovoltaic System." In 2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON). IEEE, 2024. https://doi.org/10.1109/odicon62106.2024.10797526.

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Azis, Satria Muhammad, Oyas Wahyunggoro, and Adha Imam Cahyadi. "Speed Control of Coconut Grater Machine using PID based ANFIS Controller." In 2024 16th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2024. https://doi.org/10.1109/icitee62483.2024.10808334.

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Siddula, Sundeep, Vallala Yashwanth, Bhavani Vadlakonda, Chaithanya Kumar Vungarala, and Raju Pathi. "Enhancing Electric Vehicle Efficiency through an ANFIS Controller-Driven Energy Management System." In 2024 4th International Conference on Intelligent Technologies (CONIT). IEEE, 2024. http://dx.doi.org/10.1109/conit61985.2024.10626729.

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Siddula, Sundeep, Vallala Yashwanth, Bhavani Vadlakonda, Chaithanya Kumar Vungarala, and Raju Pathi. "Optimizing Electric Vehicle Efficiency-The Role of ANFIS Controller-Driven Energy Management." In 2024 IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2024. http://dx.doi.org/10.1109/icpeices62430.2024.10719253.

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Halder, Kaushik, and M. Felix Orlando. "Trajectory Tracking Controller Design for a Ball-Plate Balancing System Using ANFIS." In 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2024. https://doi.org/10.1109/pedes61459.2024.10961904.

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Kharola, Ashwani, Ritvik Dobriyal, Rakesh Chandmal Sharma, Neeraj Sharma, Ashwini Sharma, and Anuj Raturi. "Hydrodynamic Flow Characteristics Prediction for Bluff Body Wake via Novel Adaptive Neuro-Fuzzy Controller Avoiding Fuzzy Rule Explosion." In Automotive Technical Papers. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-5081.

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Streszczenie:
&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;This study analyses the effect of Reynolds number (&lt;i&gt;Re&lt;/i&gt;) and bluff body shape (quantified by shape factor &lt;i&gt;SF&lt;/i&gt;) variation on various hydrodynamic characteristics of unsteady bluff body flow, such as Strouhal number, maximum lift coefficient, and mean drag coefficient. The study initially examines a relationship among these characteristics and further utilizes artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) controllers for their precise prediction. The
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Ting, Wang, and Xu Bo. "ANFIS Controller for Spacecraft Formation Flying." In 4th Annual International Conference on Computer Science Education: Innovation and Technology (CSEIT 2013). Global Science and Technology Forum, 2013. http://dx.doi.org/10.5176/2251-2195_cseit13.25.

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Sheng Qiang, Qing Zhou, X. Z. Gao, and Shuanghe Yu. "ANFIS controller for double inverted pendulum." In 2008 6th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2008. http://dx.doi.org/10.1109/indin.2008.4618147.

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Saware, Abhishek, Navdeep Gavkar, Shubham Shinde, and Priyanka Kulkarni. "Performance Improvement of PID Controller for PMSM Using ANFIS Controller." In 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP). IEEE, 2022. http://dx.doi.org/10.1109/iciccsp53532.2022.9862372.

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Ginarsa, I. M., A. Soeprijanto, and M. H. Purnomo. "Controlling chaos using ANFIS-based Composite Controller (ANFIS-CC) in power systems." In 2009 International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). IEEE, 2009. http://dx.doi.org/10.1109/icici-bme.2009.5417262.

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