Academic literature on the topic 'Intelligent Controller'

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Journal articles on the topic "Intelligent Controller"

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Nowaková, Jana, and Miroslav Pokorný. "Intelligent Controller Design by the Artificial Intelligence Methods." Sensors 20, no. 16 (2020): 4454. http://dx.doi.org/10.3390/s20164454.

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With the rapid growth of sensor networks and the enormous, fast-growing volumes of data collected from these sensors, there is a question relating to the way it will be used, and not only collected and analyzed. The data from these sensors are traditionally used for controlling and influencing the states and processes. Standard controllers are available and successfully implemented. However, with the data-driven era we are facing nowadays, there is an opportunity to use controllers, which can include much information, elusive for common controllers. Our goal is to propose a design of an intell
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Pitolin, Uladzimir, Dzmitry Dauhiala, Viktar Yanushkevich, Aliaksandr Vershinin, and Tatsiana Maladzechkina. "Intelligent liquid level controller." EPJ Web of Conferences 321 (2025): 01001. https://doi.org/10.1051/epjconf/202532101001.

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The process controller created by using intelligent control system has become more and more widespread use at present. Using the example of an intelligent liquid level controller the development order of an effective controller with intelligence functions is considered in the present paper. Intelligence functions consist in presetting control parameters with elimination of uncertainties inherent in real objects and automatic control systems: sensor and actuator hysteresis, nonlinearity of the regulator’s characteristic and so on. The results of experimental bench test of such a controller are
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Sakakibara, Shinsuke. "ROBOT CONTROLLER. Intelligent Robot Controller." Journal of the Robotics Society of Japan 14, no. 6 (1996): 796–99. http://dx.doi.org/10.7210/jrsj.14.796.

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Muthukumari, T., T. A. Raghavendiran, R. Kalaivani, and P. Selvaraj. "Intelligent tuned PID controller for wind energy conversion system with permanent magnet synchronous generator and AC-DC-AC converters." IAES International Journal of Robotics and Automation (IJRA) 8, no. 2 (2019): 133. http://dx.doi.org/10.11591/ijra.v8i2.pp133-145.

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This paper presents the intelligent tuned PID controller-based Single Ended Primary Inductor Converter (SEPIC) for Maximum Power Point Tracking (MPPT) operation of Wind Energy Conversion System (WECS). As the voltage and frequency of the Permanent Magnet Synchronous Generator (PMSG) varies with the wind speed changes, Intelligent controlled SEPIC is utilized to maintain the constant DC link voltage. The intelligent tuned PID controller combines the advantages of both conventional and soft controllers. The 1.5MW variable speed WECS (VSWECS) with AC-DC-AC converter is developed using MATLAB/Simu
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Muthukumari, T., T. A. Raghavendiran, R. Kalaivani, and P. Selvaraj. "Intelligent tuned PID controller for wind energy conversion system with permanent magnet synchronous generator and AC-DC-AC converters." IAES International Journal of Robotics and Automation (IJRA) 8, no. 2 (2019): 133–45. https://doi.org/10.11591/ijra.v8i2.pp133-145.

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This paper presents the intelligent tuned PID controller-based Single Ended Primary Inductor Converter (SEPIC) for Maximum Power Point Tracking (MPPT) operation of Wind Energy Conversion System (WECS). As the voltage and frequency of the Permanent Magnet Synchronous Generator (PMSG) varies with the wind speed changes, Intelligent controlled SEPIC is utilized to maintain the constant DC link voltage. The intelligent tuned PID controller combines the advantages of both conventional and soft controllers. The 1.5MW variable speed WECS (VSWECS) with AC-DC-AC converter is developed using MATLAB/Simu
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Banda, Gururaj, and Sri Gowri Kolli. "An Intelligent Adaptive Neural Network Controller for a Direct Torque Controlled eCAR Propulsion System." World Electric Vehicle Journal 12, no. 1 (2021): 44. http://dx.doi.org/10.3390/wevj12010044.

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This article deals with an intelligent adaptive neural network (ANN) controller for a direct torque controlled (DTC) electric vehicle (EV) propulsion system. With the realization of artificial intelligence (AI) conferred adaptive controllers, the torque control of an electric car (eCAR) propulsion motor can be achieved by estimating the stator reference flux voltage used to synthesize the space vector pulse width modulation (SVPWM) for a DTC scheme. The proposed ANN tool optimizes the parameters of a proportional integral (PI) controller with real-time data and offers splendid dynamic stabilit
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Muftah, Mohamed Naji, Ahmad Athif Mohd Faudzi, Shafishuhaza Sahlan, and Shahrol Mohamaddan. "Intelligent Position Control for Intelligent Pneumatic Actuator with Ball-Beam (IPABB) System." Applied Sciences 12, no. 21 (2022): 11089. http://dx.doi.org/10.3390/app122111089.

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A pneumatic actuator system is considered extremely nonlinear, making accurate position control of this actuator difficult to obtain. In this article, a novel cascade fractional-order PID (CFOPID) controller for the intelligent pneumatic actuator (IPA) positioning system utilizing particle swarm optimization (PSO) is presented. The pneumatic system was modeled using the system identification (SI) technique. To demonstrate the effectiveness of the CFOPID controller, a comparison to the FOPID controller is performed based on the rise, settling, and peak times, peak overshoot, and integral of squ
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Lan, Hua, Tian-gang Yuan, Mu-Zi Zhang, and Zhi-min Liao. "HVDC Intelligent Controller." Energy Procedia 17 (2012): 1460–67. http://dx.doi.org/10.1016/j.egypro.2012.02.267.

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Sun, Yuxuan. "PID controller combined with intelligent algorithm." Applied and Computational Engineering 6, no. 1 (2023): 595–601. http://dx.doi.org/10.54254/2755-2721/6/20230868.

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PID controller has a wide range of applications in industrial control due to its suitability for a variety of system types, easy operation, and effective results. With the advancement of technology, however, industrial production is placing a greater emphasis on automation, intelligence, and PID controllers, as it is difficult to adapt linear time-invariant systems to the control requirements of current industrial production. This research examines the optimization and transformation of PID controller using a range of clever algorithms by conducting a literature review. PID controller paired w
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Gonzalez, Fernando. "Model Sharing and Scalability in the Real-Time Simulation and Intelligent Hierarchical Control of Discrete-Event Systems." Modelling 5, no. 3 (2024): 861–83. http://dx.doi.org/10.3390/modelling5030045.

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Large-scale automated systems such as manufacturing systems, transportation systems, the Smart Grid and many others are continuously becoming larger, more distributed, more complex, and more intelligent. There is a growing expectation that their software controller will make real-time intelligent decisions, at all levels of the control hierarchy that make up the enterprise. The need is changing for distributed intelligent controllers that are scalable to arbitrarily large systems. In this paper, we first present the model explosion problem. This problem arises when every controller in the cont
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Dissertations / Theses on the topic "Intelligent Controller"

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Khor, Jeen Ghee. "An intelligent controller for synchronous generators." Thesis, De Montfort University, 1999. http://hdl.handle.net/2086/4125.

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Croxford, Ben. "An intelligent, domestic central heating controller." Thesis, University of Westminster, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359206.

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GOMES, LUIS FERNANDO VIEIRA. "INTELLIGENT INPUT/OUTPUT CONTROLLER FOR CYGNUS COMPUTER." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1992. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10076@1.

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O sistema Cygnus é um computador multiprocessador de memória compartilhada e estrutura modular desenvolvido pelos departamentos de Energia Elétrica e Informática da PUC/RJ. Este trabalho tem como objetivo a introdução de um novo controlador de acesso a discos e impressora. Este controlador é baseado no microprocessador 68010 e utiliza técnicas de implementação de memórias cachê de disco em um ambiente de multiprogramação onde processos, através de troca de mensagens, cooperam para aceitar várias solicitações simultâneas provenientes dos diversos processadores que compõem o sistema.
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Saeed, Bahghtar Ibraheem. "Design of a wireless intelligent fuzzy controller network." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/24569/.

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Since the first application of fuzzy logic in the field of control engineering, fuzzy logic control has been successfully employed in controlling a wide variety of applications, such as commercial appliances, industrial automation, robots, traffic control, cement kilns and automotive engineering. The human knowledge on controlling complex and non-linear processes can be incorporated into a controller in the form of linguistic expressions. Despite these achievements, however, there is still a lack of an empirical or analytical design study which adequately addresses a systematic auto-tuning met
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Tarr, C. A. Blair. "Intelligent controller for non-linear time lagged systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0026/MQ33279.pdf.

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Idate, Dileep Raghunath. "An intelligent communication controller for the VME bus." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/52084.

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This document explains the design of the microcontroller based Intelligent Communication Controller (ICC) for the Motorola VMEbus. The card transmits and receives serial data on T1 medium at a rate of 1.544 Mbits/sec. This ICC card is a part of the communication system used in a current differential protection scheme for power distribution systems.<br>Master of Science
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Fernandes, John Manuel. "Wireless industrial intelligent controller for a non-linear system." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/9021.

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Modern neural network (NN) based control schemes have surmounted many of the limitations found in the traditional control approaches. Nevertheless, these modern control techniques have only recently been introduced for use on high-specification Programmable Logic Controllers (PLCs) and usually at a very high cost in terms of the required software and hardware. This ‗intelligent‘ control in the sector of industrial automation, specifically on standard PLCs thus remains an area of study that is open to further research and development. The research documented in this thesis examined the effectiv
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朱劍超 and Kim-chiu Chu. "Development of intelligent battery charger and controller for electricvehicle." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31209178.

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Abdalla, Hassan Hamed. "An intelligent multi-controller structure : a knowledge-based approach." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387245.

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Chu, Kim-chiu. "Development of intelligent battery charger and controller for electric vehicle /." [Hong Kong : University of Hong Kong], 1989. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12599074.

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Books on the topic "Intelligent Controller"

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Kelly, E. J. Bruce. The intelligent Nightstor controller. The Author), 1994.

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Wong, Pui Chun. Intelligent programmable logic controller system design. University of Salford, 1988.

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Khor, Jeen Ghee. An intelligent controller for synchronous generators. De Montfort University, 1999.

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Stott, Ian James. A self-contained, intelligent, micro-controller expert system to augment powered wheelchair users. University of Portsmouth, 2002.

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Doostdar, Tooraj. Evaluating the real-time capabilities of the basic stamp II micro-controller and the implementation of the intelligent bug. UMIST, 1998.

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Zilog. Intelligent peripheral controllers. Zilog, 1991.

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Dinh, Steven M., John D. DeNuzzio, and Ann R. Comfort, eds. Intelligent Materials for Controlled Release. American Chemical Society, 1999. http://dx.doi.org/10.1021/bk-1999-0728.

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M, Dinh Steven, DeNuzzio John D. 1959-, and Comfort Ann R. 1960-, eds. Intelligent materials for controlled release. American Chemical Society, 1999.

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Faghih, Nezameddin, and Farshad Alamdar Yuli. Fuzzy Controllers in Intelligent Material Control Systems. Farassan, 2007.

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Woodyatt, N. C. P. Intelligent interface for a numerically controlled drill. UMIST, 1993.

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Book chapters on the topic "Intelligent Controller"

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Krishnaiah, Jallu, C. S. Kumar, and M. A. Faruqi. "Intelligent Chaos Controller." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27443-5_31.

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Kazemian, H. B. "Intelligent Fuzzy PID Controller." In Foundations of Generic Optimization. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6668-9_7.

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Wang, Xuehong, Chunling Tu, and Pius Adewale Owolawi. "Robot Wheels Controller System." In Intelligent Sustainable Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7663-6_33.

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Ugodziński, R., R. Szewczyk, and M. Nowicki. "Analog PID Controller with the Digitally Controlled Parameters." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11310-4_9.

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Lian, Sijia, Tao Jiang, Chao Zhang, Zhikun Yang, and Shaoquan Jiang. "Design of Intelligent Boiler Controller." In 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3180-1_34.

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Jha, Bhola, M. K. Panda, V. M. Mishra, and S. N. V. Ganesh. "Vector-Controlled Induction Motor Drives Using Intelligent RST Robust Controller." In Cognitive Informatics and Soft Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0617-4_62.

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Satpathy, Soumya Ranjan, Soumyaranjan Pradhan, Rosalin Pradhan, Rajashree Sahu, Aparesh Prasad Biswal, and Bibhu Prasad Ganthia. "Direct Torque Control of Mathematically Modeled Induction Motor Drive Using PI-Type-I Fuzzy Logic Controller and Sliding Mode Controller." In Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6081-5_21.

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Ryntathiang, Abigail Iarisa, Dawadbniah Ramde, Deiwamangmi Suchiang, and Bhaswati Medhi. "An Analysis on Performance of Fuzzy Logic Controller in Automatic Voltage Controller Along with the Classical Controllers." In Advances in Data-Driven Computing and Intelligent Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9531-8_1.

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Venu Gopal, B. T., H. R. Ramesh, and E. G. Shivakumar. "Genetic-Neuro-Fuzzy Controller for Indirect Vector-Controlled Induction Motor Drive." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3514-7_15.

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Gopal, B. T. Venu, E. G. Shivakumar, and H. R. Ramesh. "Design of Deep Learning Controller for Vector Controlled Induction Motor Drive." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1097-7_53.

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Conference papers on the topic "Intelligent Controller"

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S, Thasni, and Lal Priya P S. "EEG Controlled Robotic Arm Using Fuzzy Logic Controller." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10624834.

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Liu, Xiaoqun, Yingying Chi, Yong Xie, et al. "Intelligent Probe System Based on TSN Controller." In 2024 7th International Conference on Electronics Technology (ICET). IEEE, 2024. http://dx.doi.org/10.1109/icet61945.2024.10673184.

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Qishqish, Asma R., A. M. EIbreki, Tawfiq H. Elmenfy, and Zakariya Rajab. "Prosthetic Hand Controlled Via Intelligent Fuzzy Controller." In ICEMIS'20: The 6th International Conference on Engineering & MIS 2020. ACM, 2020. http://dx.doi.org/10.1145/3410352.3410819.

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Dugal, Norma, Randall Trimble, and Greg Moores. "An intelligent load controller." In Intersociety Energy Conversion Engineering Conference. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-3960.

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Jackson, William. "Intelligent remote power controller." In Intersociety Energy Conversion Engineering Conference. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4120.

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Težak, Oto. "Intelligent Controller Validation Methodology." In COMPUTING ANTICIPATORY SYSTEMS: CASYS'03 - Sixth International Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1787358.

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Cavalcante, Magno, Leizer Schnitman, and Augusto Loureiro. "An Intelligent Adaptive Controller." In 2008 IEEE Latin American Robotic Symposium (LARS). IEEE, 2008. http://dx.doi.org/10.1109/lars.2008.13.

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Simsek, Mehmet R., and Onur Bilgen. "The Duffing-Holmes Oscillator With Hybrid Position Feedback Controller: Stability and Response Analysis." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-7954.

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The dynamic behavior of a Duffing-Holmes oscillator subjected to a Hybrid Position Feedback (HPF) controller is investigated. The so-called hybrid controller is a combination of two controllers, namely, the Negative Position Feedback (NPF), and Positive Position Feedback (PPF) controllers. The controller uses the inertial properties of the structure around its stable positions to achieve large displacements by effectively destabilizing the system using an NPF controller. Once the unstable equilibrium is reached, the system is stabilized to the target stable equilibrium using the PPF controller
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Chen Xiaoyan and Li Zhenliang. "An intelligent dynamic weighing controller." In 2008 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2008. http://dx.doi.org/10.1109/ical.2008.4636411.

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Qi-hong, Zhou, He Yong-yi, Guo Shuai, and Fang Ming-lun. "DSP-Based Intelligent Tension Controller." In 2005 Conference on High Density Microsystem Design and Packaging and Component Failure Analysis. IEEE, 2005. http://dx.doi.org/10.1109/hdp.2005.251461.

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Reports on the topic "Intelligent Controller"

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Perme, David, and Matthew T. Eaton. Intelligent Mission Controller Node. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada413588.

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Vitela, J. E., U. R. Hanebutte, and J. Reifman. An artificial neural network controller for intelligent transportation systems applications. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/219376.

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Banta, H. G., David B. Troillet, Neil T. Heffernan, Brian Plamondon, and Scott A. Beal. The Virtual Observer/Controller (VOC): Automated Intelligent Coaching in Dismounted Warrior Simulations. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada429445.

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Drotning, W. D. Automated waste canister docking and emplacement using a sensor-based intelligent controller; Yucca Mountain Site Characterization Project. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/140803.

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Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the netwo
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Barrett, C. L., P. Stroud, and C. Reidys. Intelligent controllers for battlefield simulations. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/516017.

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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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Jacobs, W., C. Sun, R. Nguyen, D. Fogliatti, and H. Nguyen. Optically Controlled Pin-Diode RF Switching for Tactical Signal Intelligence Technology. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390023.

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Pettitt, Rodger A., Elizabeth S. Redden, Christian B. Carstens, and David Hooper. Scalability of Robotic Controllers: Effects of Progressive Autonomy on Intelligence, Surveillance, and Reconnaissance Robotic Tasks. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada584816.

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Nikiforov, Vladimir. The use of composite materials in smart medical equipment, including with innovative laser systems, controlled and controlled complexes with elements of artificial intelligence and artificial neural networks. Intellectual Archive, 2019. http://dx.doi.org/10.32370/iaj.2133.

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