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Academic literature on the topic 'Fuzzy logic simulation'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Fuzzy logic simulation"

Shan, Jinjun, and Piotr Wenderski. "Hardware-in-the-Loop Simulation for Spacecraft Formation Flying." Journal of Control Science and Engineering 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/572526.

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This paper presents a hardware-in-the-loop (HITL) simulation approach for multiple spacecraft formation flying. Considering a leader-follower formation flying configuration, a Fuzzy Logic controller is developed first to maintain the desired formation shape under external perturbations and the initial position offsets. Cold-gas on/off thrusters are developed to be introduced to the simulation loop, and the HITL simulations are conducted to validate the effectiveness of the proposed simulation configuration and Fuzzy Logic control.

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Neupokoeva, Elena, Svetlana Malygina, and Vitaliy Bystrov. "THE PRACTICE OF USING FUZZY LOGIC FOR SIMULATION OF COMPLEX SYSTEMS." Transaction Kola Science Centre 15, no. 3 (2024): 69–81. https://doi.org/10.37614/10.37614/2949.1215.2024.15.3.006.

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Simulation modeling is one of the popular methods for studying complex systems of different nature. The paper analyzes the existing experience of using the fuzzy logic apparatus for simulation modeling of processes and systems. The main directions of integration of fuzzy logic and simulation modeling are considered. Examples of computer models from different subject areas, built on the basis of fuzzy logic, in the context of simulation modeling methods are given. The ways of technical implementation of the integration of the two considered means are noted. The authors conclude that fuzzy logic

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Fernando Wibisono and Tamaji. "Simulasi Analisis Kualitas Daya Menggunakan Logika Fuzzy Untuk Meningkatkan Efisiensi Sistem Tenaga Listrik." Electrician : Jurnal Rekayasa dan Teknologi Elektro 17, no. 3 (2023): 309–16. http://dx.doi.org/10.23960/elc.v17n3.2539.

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This study aims to simulate power quality analysis using fuzzy logic to increase the efficiency of the power system. Poor power quality can cause disturbances in the electric power system and reduce the efficiency of the energy used. Therefore, improving power quality is one of the main focuses in the electric power industry.The fuzzy logic method is used in this study to evaluate power quality based on relevant parameters, such as voltage, current, frequency and harmonics. Fuzzy logic is able to overcome the uncertainty and complexity of data related to electric power systems, and provide mor

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Isdore Onyema Akwukwaegbu, Eleazar Benson Mfonobong, Jude-Kennedy Chibuzo Obichere, and Chiedozie Francis Paulinus-Nwammuo. "Smart fuzzy logic-based model of traffic light management." World Journal of Advanced Engineering Technology and Sciences 8, no. 2 (2023): 344–58. http://dx.doi.org/10.30574/wjaets.2023.8.2.0108.

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Traffic congestion difficulties have resulted in low productivity, significant air pollution, and energy losses in Owerri Metropolis, Nigeria. The paper looked at the design of a smart fuzzy logic traffic light management module, the development of a traffic control program using an Arduino microcontroller system, and the validation of the developed program's functionality using a Proteus circuit model to confirm the efficiency of fuzzy signal control. The traffic light environment of a fuzzy logic controller is simulated using Matlab software, and isolated traffic of multiple junctions is sim

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Paksoy, Mahmut, Rahmi Guclu, and Saban Cetin. "Semiactive Self-Tuning Fuzzy Logic Control of Full Vehicle Model with MR Damper." Advances in Mechanical Engineering 6 (January 1, 2014): 816813. http://dx.doi.org/10.1155/2014/816813.

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Intelligent controllers are studied for vibration reduction of a vehicle consisting in a semiactive suspension system with a magnetorheological(MR) damper. The vehicle is modeled with seven degrees of freedom as a full vehicle model. The semiactive suspension system consists of a linear spring and an MR damper. MR damper is modeled using Bouc-Wen hysteresis phenomenon and applied to a full vehicle model. Fuzzy Logic based controllers are designed to determine the MR damper voltage. Fuzzy Logic and Self-Tuning Fuzzy Logic controllers are applied to the semiactive suspension system. Results of t

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Moe, Maung Kyaw Soe. "Design and Simulation of Automatic Room Temperature by Using Fuzzy Control." ACMIT Proceedings 4, no. 1 (2017): 67–78. http://dx.doi.org/10.33555/acmit.v4i1.61.

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In air conditioning system, efficient operation of air conditioning equipment to suit the user demand is important and to achieve that, Fuzzy Logic controller can play a key role in formulating the next generation of control technology for the traditional air conditioning equipment. The target of this research is to develop a fuzzy logic control which will allow less usage of energy by optimum operation of air conditioning which would also promote Conservation of Energy. The control system in this study also would need to achieve a Stable Climate Condition in the room within the limits of cont

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Mammadova, K. A., and A. A. Aliyeva. "Simulation of the Logical Control System of Mobile Robots in a Fuzzy Environment." Herald of Azerbaijan Engineering Academy 17, no. 1 (2025): 105–13. https://doi.org/10.52171/herald.250.

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In the realization of mobile robots, it is very important to apply a fuzzy logic control system for effective navigation and decision making in complex environments. The purpose of this paper is to investigate the steps of creating a fuzzy logic control system and different moments in time and select the optimal path. Fuzzy logic control systems are especially suitable for mobile robots due to the uncertainty and the possibility of approximate logical control. Unlike classical logical Boolean logic (true or false), fuzzy logic allows for varying degrees of accuracy, making it ideal for situati

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Lootsma, Freerk A. "Fuzzy logic." European Journal of Operational Research 102, no. 1 (1997): 244. http://dx.doi.org/10.1016/s0377-2217(97)90065-5.

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Costa Drumond Sousa, Gilberto, Bimal K. Bose, and Marcelo Godoy Simões. "A simulation-implementation methodology of a fuzzy logic based control system." Eletrônica de Potência 2, no. 1 (1997): 61–68. http://dx.doi.org/10.18618/rep.1997.1.061068.

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Djaafar, Toumi, Benattous Djilani, Ibrahim Ahmed, et al. "Maximum power point tracking of photovoltaic array using fuzzy logic control." International Journal of Power Electronics and Drive Systems 13, no. 4 (2022): 2440~2449. https://doi.org/10.11591/ijpeds.v13.i4.pp2440-2449.

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This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and c

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Dissertations / Theses on the topic "Fuzzy logic simulation"

SPOLAOR, SIMONE. "Fuzzy logic for the modeling and simulation of complex systems." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/263538.

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I sistemi complessi generalmente mostrano comportamenti emergenti dinamici, che non possono essere spiegati da una mera descrizione delle parti che li costituiscono. Tali sistemi sono ubiquitari in contesti sia naturali che artificiali, spaziando dalla biologia alla fisica, dall’ingegneria all’economia, e suscitano l’interesse di molti scienziati appartenenti a diversi campi di ricerca. Per ottenere una più chiara comprensione del loro funzionamento, i sistemi complessi sono studiati tramite l’uso di metodi computazionali, che permettono di riprodurne il comportamento in silico. Di conseguenza

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Vural, Ozgur Ahmet. "Fuzzy Logic Guidance System Design For Guided Missiles." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1026715/index.pdf.

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This thesis involves modeling, guidance, control, and flight simulations of a canard controlled guided missile. The autopilot is designed by a pole placement technique. Designed autopilot is used with the guidance systems considered in the thesis. Five different guidance methods are applied in the thesis, one of which is the famous proportional navigation guidance. The other four guidance methods are different fuzzy logic guidance systems designed considering different types of guidance inputs. Simulations are done against five different target types and the performances of the five guidance m

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FNU, Vijaykumar Sureshkumar. "Autonomous Control of A Quadrotor UAV Using Fuzzy Logic." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428049378.

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Matthews, Chris, and mikewood@deakin edu au. "Fuzzy concepts and formal methods." Deakin University. School of Management Information Systems, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051201.154843.

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It has been recognised that formal methods are useful as a modelling tool in requirements engineering. Specification languages such as Z permit the precise and unambiguous modelling of system properties and behaviour. However some system problems, particularly those drawn from the information systems problem domain, may be difficult to model in crisp or precise terms. It may also be desirable that formal modelling should commence as early as possible, even when our understanding of parts of the problem domain is only approximate. This thesis suggests fuzzy set theory as a possible representati

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劉俊強 and Chun-keung Lau. "Design, simulation and implementation of digital controlled power converters using fuzzy logic approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3122460X.

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Lau, Chun-keung. "Design, simulation and implementation of digital controlled power converters using fuzzy logic approach." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22277754.

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Lea, Roy Kim. "A comparative study by simulation and experimentation of control techniques for autonomous underwater flight vehicles." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264389.

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Shafike, Nabil Girgis. "Groundwater flow simulations and management under imprecise parameters." Diss., The University of Arizona, 1994. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1994_103_sip1_w.pdf&type=application/pdf.

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Nabhen, Ricardo Cassiano. "Fuzzy logic based method for modeling queue behavior of network nodes." Paris 6, 2009. http://www.theses.fr/2009PA066203.

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Prévoir la capacité des réseaux basés sur IP est une tache difficile. Idéalement, pour estimer la quantité maximale de trafic qui pourrait être supportée par le réseau, sans violer les besoins de QoS, il est nécessaire de déterminer la distribution de la longueur des files d'attente de noeuds de réseau sous différentes conditions de trafic. La caractérisation d'un modèle pour la distribution de la longueur de la file d'attente est un sujet largement étudié, pourtant l'appareil mathématique associé devient de plus en plus compliqué lorsqu'on doit traiter plusieurs files d'attente de priorité, t

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Aminu, Maruf Asumo. "Modeling and Simulation of Protective Relay for Short Circuits in AC Micro-grids using Fuzzy Logic." Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/51625.

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The duo of high human appetite for electricity in the 21st century and high human population growth rate entail inadequacy of contemporary electric power protective systems for the emerging micro-grid. This thesis presents results of a research which seeks to propose a new model of protective device for short circuits in ac micro-grids. Response of the proposed relay is consistent with a reliable device. Consequently, a protective relay for short circuits in micro-grids is proposed.

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Books on the topic "Fuzzy logic simulation"

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Springer Berlin Heidelberg, 2013.

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Rotshtein, Alexander P. Fuzzy Evidence in Identification, Forecasting and Diagnosis. Springer Berlin Heidelberg, 2012.

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Robyns, Benoit. Vector Control of Induction Machines: Desensitisation and Optimisation Through Fuzzy Logic. Springer London, 2012.

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Taylor, Cynthia. A programmer's guide to the fuzzy logic ramp metering algorithm: Software design, integration, testing, and evaluation. Washington State Dept. of Transportation, 2000.

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Taylor, Cynthia. Algorithm design, user interface, and optimization procedure for a fuzzy logic ramp metering algorithm: A training manual for freeway operations engineers. Washington State Dept. of Transportation, 2000.

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Taylor, Cynthia. Evaluation of a fuzzy logic ramp metering algorithm: A comparative study among three ramp metering algorithms used in the greater Seattle area. Washington State Dept. of Transportation, 2000.

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Silov, V. B. Prini͡a︡tie strategicheskikh resheniĭ v nechetkoĭ obstanovke: V politike, makroėkonomike, sot͡s︡iologii, menedzhmente, medit͡s︡ine, ėkologii. INPRO-RES, 1995.

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Tucci, Mario, and Marco Garetti, eds. Proceedings of the third International Workshop of the IFIP WG5.7. Firenze University Press, 2002. http://dx.doi.org/10.36253/88-8453-042-3.

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Contents of the papers presented at the international workshop deal with the wide variety of new and computer-based techniques for production planning and control that has become available to the scientific and industrial world in the past few years: formal modeling techniques, artificial neural networks, autonomous agent theory, genetic algorithms, chaos theory, fuzzy logic, simulated annealing, tabu search, simulation and so on. The approach, while being scientifically rigorous, is focused on the applicability to industrial environment.

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Kacprzyk, Janusz, and Oscar Castillo. Evolutionary design of intelligent systems in modeling, simulation and control. Springer, 2009.

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Vermeir, Dirk, Steven Schockaert, Martine De Cock, and Jeroen Janssen. Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach. Atlantis Press (Zeger Karssen), 2014.

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Book chapters on the topic "Fuzzy logic simulation"

Kraslawski, A., and A. Gorak. "Fuzzy Simulation thermischer Trennverfahren." In Fuzzy Logic. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78023-3_8.

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Liu, Jinkun. "Fuzzy Logic Control." In Intelligent Control Design and MATLAB Simulation. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5263-7_4.

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Hoffmann, Michael. "Entwurf, Simulation und Implementierung von Fuzzy-Logic in einer integrierten Entwicklungsumgebung." In Fuzzy Logic. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78023-3_15.

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Anvar, Amir M. "Reasoning and Analysis of Uncertainties within Command and Control Navigation Simulation Using Fuzzy Logic Petri Net." In Fuzzy Logic. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1806-2_18.

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Qiao, Rui, Xiuqin Zhong, Shihan Yang, and Heng He. "Surprise Simulation Using Fuzzy Logic." In Intelligent Computing Theories and Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39482-9_13.

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Guidara, Ali. "PODESIM—Policy Decision Emergence Simulation Model." In Policy Decision Modeling with Fuzzy Logic. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62628-0_6.

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Lowndes, Val. "Appendix D: Defining Boolean and Fuzzy Logic Operators." In Simulation Foundations, Methods and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55417-4_19.

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Guidara, Ali. "Correction to: PODESIM—Policy Decision Emergence Simulation Model." In Policy Decision Modeling with Fuzzy Logic. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62628-0_10.

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Vukobratovič, M., and B. Karan. "Simulation Experiments with Fuzzy Logic-Based Robot Control." In Theory and Practice of Robots and Manipulators. Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-2698-1_22.

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Saiteja, Pajarla. "Fuzzy Logic Simulation for Automatic Speed Control System." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2697-4_54.

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Conference papers on the topic "Fuzzy logic simulation"

McAllister, M. Luisa, Sergei A. Ovchinnikov, John T. Dockery, and Klaus-Peter Adlassnig. "Tutorial on fuzzy logic in simulation." In the 17th conference. ACM Press, 1985. http://dx.doi.org/10.1145/21850.253069.

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Čajić, Elvir, Irma Ibrišimović, Alma Šehanović, Damir Bajrić, and Julija Ščekić. "Fuzzy Logic And Neural Networks For Disease Detection And Simulation In Matlab." In 9th International Conference on Computer Science, Engineering and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132302.

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This paper investigates the integration of fuzzy logic and neural networks for disease detection using the Matlab environment. Disease detection is key in medical diagnostics, and the combination of fuzzy logic and neural networks offers an advanced methodology for the analysis and interpretation of medical data. Fuzzy logic is used for modeling and resolving uncertainty in diagnostic processes, while neural networks are applied for indepth processing and analysis of images relevant to disease diagnosis. This paper demonstrates the development and implementation of a simulation system in Matla

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Manor, Erez, and Shlomo Greenberg. "Voice trigger system using fuzzy logic." In 2017 International Conference on Circuits, System and Simulation (ICCSS). IEEE, 2017. http://dx.doi.org/10.1109/cirsyssim.2017.8023193.

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Hensley, Douglas, and Douglas Hensley. "Fuzzy logic based function modeling in aerodynamic simulations." In Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-3789.

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Watson, Ashley. "Real-time online fuzzy logic simulation system." In Aerospace/Defense Sensing and Controls, edited by Steven K. Rogers, David B. Fogel, James C. Bezdek, and Bruno Bosacchi. SPIE, 1998. http://dx.doi.org/10.1117/12.304813.

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Kim, Sunghwan, and William W. Clark. "Fuzzy Logic Semi-Active Vibration Control." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0564.

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Abstract Fuzzy logic control is so-called artificial intelligence because control laws are designed by human decision, not by deterministic numerical calculations. This paper investigates the effectiveness of a fuzzy logic control method in vibration control with a semi-active MR fluid actuator. The system to be controlled is a simply supported beam to which is applied a persistent excitation. Numerical simulation and experimental tests are performed. Three semi-active control laws, one deterministic and two fuzzy-logic, were applied and compared on the basis of vibration control performance a

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Mofarrah, A., and T. Husain. "Methodology for Environmental Impact Assessment: A Fuzzy Logic based Approach." In Modelling and Simulation. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.699-015.

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Al-mousa, Amjed A., Ali H. Nayfeh, and Pushkin Kachroo. "Control of Rotary Cranes Using Fuzzy Logic." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21598.

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Abstract Rotary cranes (tower cranes) are common industrial structures that are used in building construction, factories, and harbors. These cranes are usually operated manually. With the size of these cranes becoming larger and the motion expected to be faster, the process of controlling them became difficult without using automatic control methods. In general, the movement of cranes has no prescribed path. Cranes have to be run under different operating conditions, which makes closed-loop control preferable. In this work a fuzzy logic controller is introduced with the idea of split-horizon;

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Bagirova, Anna, Oksana Shubat, and Alexander Akishev. "Fuzzy Logic Modelling Of The Russian Demographic Space." In 32nd Conference on Modelling and Simulation. ECMS, 2018. http://dx.doi.org/10.7148/2018-0035.

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Smith III, James F., and Robert D. Rhyne. "Fuzzy logic resource manager: tree structure and optimization." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Ivan Kadar. SPIE, 2001. http://dx.doi.org/10.1117/12.436959.

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Reports on the topic "Fuzzy logic simulation"

Smith, James F., and III. A Fuzzy Logic Multisensor Association Algorithm: Theory and Simulation. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada330176.

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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest

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Lavrentieva, Olena O., Ihor O. Arkhypov, Olexander I. Kuchma, and Aleksandr D. Uchitel. Use of simulators together with virtual and augmented reality in the system of welders’ vocational training: past, present, and future. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3748.

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The article discusses the theory and methods of simulation training, its significance in the context of training specialists for areas where the lack of primary qualification is critical. The most widespread hardware and software solutions for the organization welders' simulation training that use VR- and AR- technologies have been analyzed. A review of the technological infrastructure and software tools for the virtual teaching-and-production laboratory of electric welding has been made on the example of the achievements of Fronius, MIMBUS, Seabery. The features of creating a virtual simulati

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Paule, Bernard, Flourentzos Flourentzou, Tristan de KERCHOVE d’EXAERDE, Julien BOUTILLIER, and Nicolo Ferrari. PRELUDE Roadmap for Building Renovation: set of rules for renovation actions to optimize building energy performance. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541614638.

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In the context of climate change and the environmental and energy constraints we face, it is essential to develop methods to encourage the implementation of efficient solutions for building renovation. One of the objectives of the European PRELUDE project [1] is to develop a "Building Renovation Roadmap"(BRR) aimed at facilitating decision-making to foster the most efficient refurbishment actions, the implementation of innovative solutions and the promotion of renewable energy sources in the renovation process of existing buildings. In this context, Estia is working on the development of infer

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Matthews, Lisa, Guanming Wu, Robin Haw, et al. Illuminating Dark Proteins using Reactome Pathways. Reactome, 2022. http://dx.doi.org/10.3180/poster/20221027matthews.

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Diseases are often the consequence of proteins or protein complexes that are non-functional or that function improperly. An active area of research has focused on the identification of molecules that can interact with defective proteins and restore their function. While 22% percent of human proteins are estimated to be druggable, less than fifteen percent are targeted by FDA-approved drugs, and the vast majority of untargeted proteins are understudied or so-called "dark" proteins. Elucidation of the function of these dark proteins, particularly those in commonly drug-targeted protein families,

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