Relevant bibliographies by topics / Intelligent Adaptive Control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Intelligent Adaptive Control'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Intelligent Adaptive Control"

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Rheem, JaeYeol. "Intelligent Adaptive Active Noise Control in Non-stationary Noise Environments." JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA 32, no. 5 (2013): 408. http://dx.doi.org/10.7776/ask.2013.32.5.408.

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Posada, J., and M. Sanjuan. "INTELLIGENT ADAPTIVE DYNAMIC MATRIX CONTROL." IFAC Proceedings Volumes 41, no. 2 (2008): 11269–74. http://dx.doi.org/10.3182/20080706-5-kr-1001.01909.

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Dumont, Guy A. "Adaptive control and intelligent automation." Chemometrics and Intelligent Laboratory Systems 8, no. 3 (1990): 275–79. http://dx.doi.org/10.1016/0169-7439(90)80011-t.

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Yamazaki, Yoshitake. "Adaptive-intelligent control of intelligence flows as microheat transfer." Computers & Electrical Engineering 29, no. 1 (2003): 85–100. http://dx.doi.org/10.1016/s0045-7906(01)00012-x.

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Liu, Yanming, Li Zuo, and Chaojun Wang. "Intelligent adaptive control in milling processes." International Journal of Computer Integrated Manufacturing 12, no. 5 (1999): 453–60. http://dx.doi.org/10.1080/095119299130182.

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Prakash, Raghupathy, and Rajapalan Anita. "Robust Model Reference Adaptive Intelligent Control." International Journal of Control, Automation and Systems 10, no. 2 (2012): 396–406. http://dx.doi.org/10.1007/s12555-012-0219-6.

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Vladareanu, Luige. "Advanced Intelligent Control through Versatile Intelligent Portable Platforms." Sensors 20, no. 13 (2020): 3644. http://dx.doi.org/10.3390/s20133644.

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Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research. The innovative multi-sensor fusion techniques, integrated through the Versatile Intelligent Portable (VIP) platforms are developed, combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication, including remote control, adaptive sensor networks, human-robot (H2R) interaction systems and machine-to-machine (M2M) interfaces
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Zhang, Hao, Ya Jie Zhang, and Yan Gu Zhang. "Intelligent Self-Adaptive Control Method Based on RBFNN and its Application in Hydraulic Control." Advanced Materials Research 1030-1032 (September 2014): 1488–92. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1488.

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We proposed an intelligent self-adaptive control method based on RBFNN in this paper, dynamic identification model of nonlinear control system is built based on radial basis neural network, mixed intelligent method of dynamic self-adaptive internal model control is developed by adjusting online for nonlinear control system. We applied the intelligent self-adaptive control method to nonlinear hydraulic control, simulation shows the dynamic characteristic is greatly improved by the intelligent control strategy for nonlinear control system, good tracking and control effect is reached in condition
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Zhou, Jun. "Intelligent Information Control for Air System." Applied Mechanics and Materials 310 (February 2013): 502–5. http://dx.doi.org/10.4028/www.scientific.net/amm.310.502.

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PID control has been widely applied in the industrial process control because of its robust and easy realization, but it is difficult to tune the parameters of PID controller, which often leads to oscillation and overshoot. Due to no repetition and random of adaptive fuzzy PID control, the authors propose a method to search for normalization PID controller parameters based on adaptive fuzzy PID control, which can be expected to have higher ability of searching for global optimal PID parameters according to the performance index of control system . The MATLAB simulation of the Adaptive fuzzy PI
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Kabaldin, Y. G., D. A. Shatagin, M. S. Anosov, and A. M. Kuzmishina. "Intelligent Control of Technological Systems in Digital Manufacturing." Proceedings of Higher Educational Institutions. Маchine Building, no. 01 (718) (January 2020): 3–12. http://dx.doi.org/10.18698/0536-1044-2020-1-3-12.

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This paper presents an analysis of the development of adaptive control systems for CNC machines. It is shown that the construction of systems for optimal control of machining processes is based on such approaches as artificial intelligence, genetic algorithms for optimizing processing modes, expert systems for knowledge accumulation, cloud technologies and the development of digital twins of the equipment. An adaptive system of intelligent control of a CNC machine is developed based on training of a neural network model, which can improve the quality of machining parts and reduce the wear of t
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Dissertations / Theses on the topic "Intelligent Adaptive Control"

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Ali, Shaaban Aerospace Civil &amp Mechanical Engineering Australian Defence Force Academy UNSW. "Intelligent adaptive control for nonlinear applications." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/39185.

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The thesis deals with the design and implementation of an Adaptive Flight Control technique for Unmanned Aerial Vehicles (UAVs). The application of UAVs has been increasing exponentially in the last decade both in Military and Civilian fronts. These UAVs fly at very low speeds and Reynolds numbers, have nonlinear coupling, and tend to exhibit time varying characteristics. In addition, due to the variety of missions, they fly in uncertain environments exposing themselves to unpredictable external disturbances. The successful completion of the UAV missions is largely dependent on the accuracy o
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Chiu, Kuan-Shiu. "Adaptive optimization of intelligent flow control." Thesis, University of Sunderland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288014.

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Munde, Gurubachan. "Adaptive iterative learning control." Thesis, University of Exeter, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390139.

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Kang, Hoon. "Intelligent/adaptive control strategies for robot manipulators." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/13882.

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Stephens, Michael. "Intelligent adaptive control of remotely operated vehicles." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240889.

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Andersson, Karl. "Intelligent control system for street lighting." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28731.

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Street lighting is an important aspect of infrastructure in terms of both safety and comfort, but it also consumes a lot of energy. Unused light is a waste of energy, and without any form of control of the street lighting, this problem will continue to increase along with the expansion of road networks. The aim of this thesis is to propose an intelligent control system for street lighting that can adapt to the velocity of individual road users, to investigate if this could provide ways to improve the efficiency of street lighting. Previous control approaches include systems based on ambient li
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Chen, Yinnan. "A generic intelligent control system for grinding." Thesis, Liverpool John Moores University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388528.

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Sridharan, Aswinkumar. "Adaptive and intelligent memory systems." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S140/document.

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Dans cette thèse, nous nous sommes concentrés sur l'interférence aux ressources de la hiérarchie de la mémoire partagée : cache de dernier niveau et accès à la mémoire hors-puce dans le contexte des systèmes multicœurs à grande échelle. À cette fin, le premier travail a porté sur les caches de dernier niveau partagées, où le nombre d'applications partageant le cache pourrait dépasser l'associativité du cache. Pour gérer les caches dans de telles situations, notre solution évalue l'empreinte du cache des applications pour déterminer approximativement à quel point elles pourraient utiliser le ca
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Jordaan, Edzard Adolf Biermann. "Intelligent elevator control based on adaptive learning and optimisation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95999.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Machine learning techniques have been around for a few decades now and are being established as a pre-dominant feature in most control applications. Elevators create a unique control application where traffic flow is controlled and directed according to certain control philosophies. Machine learning techniques can be implemented to predict and control every possible traffic flow scenario and deliver the best possible solution. Various techniques will be implemented in the elevator application in an attempt to establish a
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Kamalasadan, Sukumar. "A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach." University of Toledo / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1087223752.

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Books on the topic "Intelligent Adaptive Control"

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Fabri, Simon G. Functional Adaptive Control: An Intelligent Systems Approach. Springer London, 2001.

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Szuster, Marcin, and Zenon Hendzel. Intelligent Optimal Adaptive Control for Mechatronic Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68826-8.

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Patel, Ravi, Dipankar Deb, Rajeeb Dey, and Valentina E. Balas. Adaptive and Intelligent Control of Microbial Fuel Cells. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-18068-3.

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J, Harris C., ed. Neurofuzzy adaptive modelling and control. Prentice Hall, 1994.

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Hayes-Roth, Barbara. An architecture for adaptive intelligent systems. Stanford University, Dept. of Computer Science, 1993.

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Rigatos, Gerasimos G. Intelligent industrial systems: Modeling, automation and adaptive behavior. Information Science Reference, 2010.

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1931-, Haykin Simon S., and Kosko Bart, eds. Intelligent signal processing. IEEE Press, 2001.

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G, Moore C., and Brown M, eds. Intelligent control: Aspects of fuzzy logic and neural nets. World Scientific, 1993.

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Signal processing for intelligent sensor systems. Marcel Dekker, 2000.

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service), SpringerLink (Online, ed. Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering. Springer Berlin Heidelberg, 2011.

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Book chapters on the topic "Intelligent Adaptive Control"

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Dürr, Robert, and Andreas Bück. "Adaptive Control." In Intelligent Control in Drying. CRC Press, 2018. http://dx.doi.org/10.1201/9780429443183-7.

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Zile, Mehmet. "Intelligent and Adaptive Control." In Power Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23723-3_17.

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Das Sharma, Kaushik, Amitava Chatterjee, and Anjan Rakshit. "Intelligent Adaptive Fuzzy Control." In Cognitive Intelligence and Robotics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1298-4_1.

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Winner, Hermann. "Adaptive Cruise Control." In Handbook of Intelligent Vehicles. Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-085-4_24.

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Liu, Jinkun. "Adaptive Fuzzy Control." In Intelligent Control Design and MATLAB Simulation. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5263-7_6.

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Patel, Ravi, Dipankar Deb, Rajeeb Dey, and Valentina E. Balas. "Introduction to Adaptive Control." In Intelligent Systems Reference Library. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18068-3_5.

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Shin, Yung C. "Adaptive control in manufacturing." In Artificial Neural Networks for Intelligent Manufacturing. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0713-6_14.

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Bu, Fanping, and Ching-Yao Chan. "Adaptive and Cooperative Cruise Control." In Handbook of Intelligent Vehicles. Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-085-4_9.

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Penny, Will, and Klaas Stephan. "A Dynamic Bayesian Model of Homeostatic Control." In Adaptive and Intelligent Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11298-5_7.

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Szuster, Marcin, and Zenon Hendzel. "Intelligent Control of Mechatronic Systems." In Intelligent Optimal Adaptive Control for Mechatronic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68826-8_3.

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Conference papers on the topic "Intelligent Adaptive Control"

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Didekova, Zuzana, Slavomir Kajan, Alena Kozakova, and Stefan Kozak. "Intelligent adaptive fuzzy control." In 2018 Cybernetics & Informatics (K&I). IEEE, 2018. http://dx.doi.org/10.1109/cyberi.2018.8337549.

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Teymourzadeh, Rozita, Rahim Nakhli Mahal, Ng Keng Shen, and Kok Wai Chan. "Adaptive intelligent spider robot." In 2013 IEEE Conference on Systems, Process & Control (ICSPC). IEEE, 2013. http://dx.doi.org/10.1109/spc.2013.6735153.

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Liu, Wensheng, and T. J. Nye. "Adaptive Control for Intelligent Open Die Forging." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61789.

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Open die forging is a manufacturing process with a number of advantages; in particular it is an inherently flexible manufacturing process that makes efficient use of raw material. A fundamental drawback of this process, however, is the difficulty found in creating forging programs to control part manipulation and forming steps. A-priori approaches to creating these programs, such as by using FEM simulations or using modeling materials, are slow and have a strong tendency for errors to accumulate when predicting the results of consecutive forming steps. In this paper we present a new approach i
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Menkovski, V., and A. Liotta. "Intelligent control for adaptive video streaming." In 2013 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2013. http://dx.doi.org/10.1109/icce.2013.6486825.

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Linkens. "Intelligent And Adaptive Control In Anesthesia." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.592670.

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Linkens, D. A. "Intelligent and adaptive control in anaesthesia." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761469.

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Martin Marcos, J., J. L. Lorenzo, and J. M. Martin Sanchez. "Adaptive Predictive Control in Intelligent Buildings." In 16th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 1999. http://dx.doi.org/10.22260/isarc1999/0097.

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Shamily, S., Praveena, and N. S. Bhuvaneswari. "Intelligent control and adaptive control for interacting system." In 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR). IEEE, 2015. http://dx.doi.org/10.1109/tiar.2015.7358542.

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Mowafey, Sherief, and Steve Gardner. "A novel adaptive approach for home care ambient intelligent environments with an emotion-aware system." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334727.

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Annaswamy, Anuradha, and Haruhiko Asada. "Intelligent Control Using Active-Adaptive Information Sources." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792874.

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Reports on the topic "Intelligent Adaptive Control"

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Cameron, S., K. Stantz, M. Trahan, and J. Wagner. Optical Communication System for Remote Monitoring and Adaptive Control of Distributed Ground Sensors Exhibiting Collective Intelligence. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/2285.

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Lennon, Craig T. Comparing Adaptive Control of Thought-Rational (ACT-R) Baseline Activation Terms for Implementation in the Symbolic and Subsymbolic Robotic Intelligence Control System (SS-RICS). Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada600879.

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