Relevant bibliographies by topics / Machine control system

Contents

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

Academic literature on the topic 'Machine control system'

Author: Grafiati
Published: 28 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Machine control system"

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YAMAMOTO, Takashi, Michihiro OSHIMA, Yoshio YOKOYAMA, and Toshio MIYAGI. "High-precision Grinding System utilizing Machine Vision Control Unit(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 439–42. http://dx.doi.org/10.1299/jsmelem.2005.2.439.

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Chiuso, A., and G. Pillonetto. "System Identification: A Machine Learning Perspective." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (2019): 281–304. http://dx.doi.org/10.1146/annurev-control-053018-023744.

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Estimation of functions from sparse and noisy data is a central theme in machine learning. In the last few years, many algorithms have been developed that exploit Tikhonov regularization theory and reproducing kernel Hilbert spaces. These are the so-called kernel-based methods, which include powerful approaches like regularization networks, support vector machines, and Gaussian regression. Recently, these techniques have also gained popularity in the system identification community. In both linear and nonlinear settings, kernels that incorporate information on dynamic systems, such as the smoothness and stability of the input–output map, can challenge consolidated approaches based on parametric model structures. In the classical parametric setting, the complexity of the model (the model order) needs to be chosen, typically from a finite family of alternatives, by trading bias and variance. This (discrete) model order selection step may be critical, especially when the true model does not belong to the model class. In regularization-based approaches, model complexity is controlled by tuning (continuous) regularization parameters, making the model selection step more robust. In this article, we review these new kernel-based system identification approaches and discuss extensions based on nuclear and [Formula: see text] norms.
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Liu, Rui, Gui Xi Liu, Peng Ju Chang, Wei Hua He, and Zeng Jian Huang. "Control System of PDP Lighting Inspection Machine." Applied Mechanics and Materials 130-134 (October 2011): 1903–6. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1903.

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The test of panel’s display effect is a key step in the panel production. Lighting inspection machines test the electrical, optical and surface information of Plasma Display Panels (PDPs). This machine is based on a PLC control system and a color analysis system. The PLC system controls a visual positioning system and links to Manufacturing Execution System (MES) and a panel conveyor. This paper considers the structure design and action workflow of the lighting inspection machine. Multi-layer network is built to connect with the whole production system. Optional operation modes are designed in control program and Man-machine interface is introduced to facilitate the operation.
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Sui, Xiu Lin, Zheng Wei Kong, Jia Tai Zhang, and Xiao Ping Yang. "Study of Virtual Numerical Control Milling Simulation System." Key Engineering Materials 407-408 (February 2009): 174–79. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.174.

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Virtual numerical control milling simulation system, based on UG, is studied oriented to low utilization of NC machines. A virtual machine tools library, standard fixture library and visual machine tool processing environment were established by the second development techniques of UG and VC++. Through the example of XH715 NC machine center, tool path and motion of miller were simulated separately; at last processing scheme was evaluated and optimized. The experimental results show this system possesses good utility, and the utilization of machine tools could thus be improved.
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Freeman William, T., and D. Weissman Craig. "Hand gesture machine control system." Computer Integrated Manufacturing Systems 10, no. 2 (1997): 175. http://dx.doi.org/10.1016/s0951-5240(97)84336-4.

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Pang, J., C. Chen, C. Wang, Y. Wang, and Y. Shu. "HT-7 machine control system." IEEE Transactions on Nuclear Science 41, no. 1 (1994): 181–83. http://dx.doi.org/10.1109/23.281485.

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Xiao, Jian, and Chundong Zhu. "The Development of Numerical Control System of Vertical Rotary Forging Machine." International Journal of Materials, Mechanics and Manufacturing 6, no. 1 (2018): 78–81. http://dx.doi.org/10.18178/ijmmm.2018.6.1.351.

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Pereplyotchikov, E. F., I. A. Ryabtsev, Yu N. Lankin, V. F. Semikin, and P. P. Osechkov. "Modernization of control system of A1756 machine for plasma-powder surfacing." Paton Welding Journal 2014, no. 12 (2014): 41–44. http://dx.doi.org/10.15407/tpwj2014.12.09.

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Sorrell, Ethan, Michael E. Rule, and Timothy O'Leary. "Brain–Machine Interfaces: Closed-Loop Control in an Adaptive System." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 167–89. http://dx.doi.org/10.1146/annurev-control-061720-012348.

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Brain–machine interfaces (BMIs) promise to restore movement and communication in people with paralysis and ultimately allow the human brain to interact seamlessly with external devices, paving the way for a new wave of medical and consumer technology. However, neural activity can adapt and change over time, presenting a substantial challenge for reliable BMI implementation. Large-scale recordings in animal studies now allow us to study how behavioral information is distributed in multiple brain areas, and state-of-the-art interfaces now incorporate models of the brain as a feedback controller. Ongoing research aims to understand the impact of neural plasticity on BMIs and find ways to leverage learning while accommodating unexpected changes in the neural code. We review the current state of experimental and clinical BMI research, focusing on what we know about the neural code, methods for optimizing decoders for closed-loop control, and emerging strategies for addressing neural plasticity.
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Chen, Shao Ke. "Control System Design of Automatic Feeding Machine." Applied Mechanics and Materials 157-158 (February 2012): 466–71. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.466.

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The research of the control system of automatic feeding machine in the present paper can be applied in different mechanical designs – from simple key-press input of cycling days, multiple time intervals and the feeding amount to setting steps of numbers of stepping motor via the control of SMC by time setting. This not only realizes the objective of “fixed-time” and “fixed-quantity” feeding, but also solves the problems of serious leaking, high failure rate, and loud noises during the process of using warehouse-type feeding machines, which brings favorable economic and social benefits for enterprises.
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Dissertations / Theses on the topic "Machine control system"

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Kanburoglu, Furkan A. "Distributed Control System For Cnc Machine Tools." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610599/index.pdf.

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&ldquo<br>Numerically Controlled&rdquo<br>(NC) machine tools, which are automatically operated by encoded (digital) commands, are capable of machining components with quality and quantity. Manufacturing industry heavily depends on these machines. Many different control architectures have been adapted in today&rsquo<br>s CNC technology. Centralized control system is quite popular in industry due to its ease of implementation. If the number of controlled axes on a CNC machine tool (&gt<br>3), increases so does the computational burden on the central processors. Hence, more powerful processors are needed. An alternative architecture, which is not commonly used in CNC technology, is the decentralized (distributed) control. In this topology, the tasks handled by the distributed controllers that are interconnected to each other by a communication network. As the need arises, a new controller can be added easily to the network without augmenting the physical configuration. Despite its attractive features, this architecture has not been fully embraced by the CNC industry. Synchronization among the axes in the coordinated motion is proven to be quite challenging. In this thesis, alternative distributed controller architecture was proposed for CNC machine tools. It was implemented on a 3-axis CNC milling machine. Open-loop control performance was investigated under various conditions. Different communication protocols along with different physical communication interfaces and a number of controller hardware were devised. An industry-standard network (RS-485) was set up by interconnecting these distributed controllers. Different data transmission protocols were devised in order to establish appropriate communication methods. Also, computer software (a.k.a. graphical user interface), which can coordinate the interconnected controllers, interpret NC part programs and generate reference position data for each axis, was designed within the scope of this thesis.
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Lee, Kwangduk Douglas 1970. "Axiomatic development of a machine control system." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/8821.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.<br>Includes bibliographical references (leaf 140).<br>Axiomatic Design is presented as a scientific methodology in designing a complex machine control system. As an example, the CMP a machine control system is developed using the Axiomatic Design framework. The machine is a type of semiconductor processing equipment, which requires numerous actuators and sensors and the intelligent control of them to planarize thin layers of wafers. Signal processing modules, control algorithms, sequential process steps, graphical user interface, process recipe editor and the overall control system structure are all designed by the Axiomatic decomposition. Axiomatic Design is proved to be a very effective tool in control system development. It took less than six months to develop the system and the control system is fully functional without any major error or mistake. The resulting system is clear to understand, easy to maintain and upgrade, and flexible for further development and integration. Although the development has been specific to the CMP cc machine, the control system structure and the design methodologies presented in this thesis are universally applicable to the development of any type of machine control system.<br>by Kwangduk Douglas Lee.<br>S.M.
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Chen, Xi. "Component-based control system development for agile manufacturing machine systems." Thesis, De Montfort University, 2003. http://hdl.handle.net/2086/13263.

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It is now a common sense that manufactures including machine suppliers and system integrators of the 21 st century will need to compete on global marketplaces, which are frequently shifting and fragmenting, with new technologies continuously emerging. Future production machines and manufacturing systems need to offer the "agility" required in providing responsiveness to product changes and the ability to reconfigure. The primary aim for this research is to advance studies in machine control system design, in the context of the European project VIR-ENG - "Integrated Design, Simulation and Distributed Control of Agile Modular Machinery".
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Yang, Xue Jiao. "Supervisory wide-area control for multi-machine power system." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/supervisory-widearea-control-for-multimachine-power-system(6c0575f9-7b20-4751-9d67-276aaaa4c7b2).html.

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With the increasing demand for electrical power and the growing need for the restructuring of the power industry, electric power systems have become highly complex with inherent complicated dynamics. Therefore, the study of power system stability has continued to receive significant attention from both academic researchers and industrial practitioners. This thesis focuses on supervisory wide-area control for rotor angle stability of multi-machine power systems using Linear Quadratic Gaussian/Loop Transfer Recovery (LQG/LTR) control theory with guaranteed robustness. The supervisory controllers are developed in both continuous-time and discrete-time framework and their performances and robustness are assessed using both frequency-domain tools, and time-domain simulation results. The impact of the communication time-delays that commonly exist in wide-area power system control on the performance and robustness of the closed-loop system is investigated. In particular, different methods of incorporating such time-delays into the design of the supervisory LQG controller are considered. This thesis proposes a modified supervisory LQG controller that utilizes the Extended Kalman Filter to estimate the unknown/varying time-delays. Simulation results obtained using numerical examples involving non-linear power system models demonstrate the benefits of the proposed scheme for both time-invariant and time-varying delays. The resulting supervisory control scheme is well suited for maintaining power system stability in the presence of communication time-delays.
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Parsons, Erin M. "Control system design for a continuous passive motion machine." Connect to resource, 2010. http://hdl.handle.net/1811/45477.

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Abdulkareem, Alaa Adnan. "Modelling, simulation and control of a PTC machine hall." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-1347.

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<p>In this master thesis a flexible manufacturing system for a PTC machine hall has been modelled and simulated using RobCad. This system includes several equipments and machines which have been modelled and arranged to come up with three possible layouts. The machine hall in UW will be moved to a new place in Innovatum (a research area in Trollhättan). The machines were chosen from the existing machine hall according to UW requirements in order not to buy new machines because of economic reasons. The number of cells was also set by UW. The machines and equipments that will be moved are; two CNC machines, three ABB robots, a 4-axis gantry robot which transport the materials between the cells and a conveyor or a flex link which has been proposed in this project for the loading/unloading station use. The purposes of moving the machine hall to Innovatum are: - More people will be able to use the machine hall (i.e. UW, other schools and costumers from other companies for training purposes). - The environment will be more available to do more production operations using the robots and machines. - It will be a good opportunity to develop the programs and software, for that will let UW be able to hire a whole automation package to the costumers. - Students will be nearby to the industries'9 environment and may have more contact with different companies. - Since the new machine hall will attract costumers it will gain incomes to UW. Three layouts have been proposed in this thesis work, and these layouts fulfil all or most of the requirements of the costumers and users.</p>
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Mattie-Suleiman, Eman A. "Instrumentation and control of an industrial sewing machine." Thesis, De Montfort University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391336.

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曾坤明 and Kwan-ming Tsang. "Decoupling and stabilizing control of multi-machine power systems withstatic VAr compensators." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31211008.

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Thomas, David Andrew. "An adaptive control system for precision cylindrical grinding." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243279.

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Gao, Liliang. "Control of three-level 5-phase induction machine drive system." Thesis, University of Strathclyde, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510860.

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Books on the topic "Machine control system"

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Control of electric machine drive system. Wiley-IEEE, 2011.

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Sul, Seung-Ki. Control of electric machine drive system. Wiley, 2011.

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Sutton, Robert. Modelling human operators in control system design. Edited by Towill Denis R. Research Studies Press, 1990.

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Hansen, John Paulin. Information nesting in configural interfaces for process control. RisøNational Laboratory, 1992.

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Cacciabue, Pietro C. Modelling and simulation of human behaviour in system control. Springer, 1998.

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Cacciabue, Pietro Carlo. Modelling and Simulation of Human Behaviour in System Control. Springer London, 1998.

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Parts management models and applications: A supply chain system integration perspective. Springer, 2005.

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service), SpringerLink (Online, ed. Machine Vision Handbook. Springer London, 2012.

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Ozkaya, Mustafa. A control system for a GTO voltage source inverter induction machine for railway traction. University of Birmingham, 1988.

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Fähnrich, K. P. Ein System zur wissensbasierten Diagnose an CNC-Werkzeugmaschinen durch den Maschinenbediener. Springer-Verlag, 1990.

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Book chapters on the topic "Machine control system"

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Sharma, Sehaj, Prajit Kumar Datta, and Gaurav Bansal. "Machine Learning Based Hospital-Acquired Infection Control System." In Machine Learning and IoT. CRC Press, 2018. http://dx.doi.org/10.1201/9781351029940-12.

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Bi, Zongjie, Zhaoshuo Tian, Pushuai Shi, and Shiyou Fu. "Design of Turntable Servo Control System Based on Sliding Mode Control Algorithm." In Machine Learning and Intelligent Communications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73447-7_30.

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Zhang, Yufeng, Xue Wang, Longsen Gao, and Zongbao Liu. "Manipulator Control System Based on Machine Vision." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25128-4_111.

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Tian, Zengshan, Mingxiao Wang, Mu Zhou, and Feng Qiu. "Virtual Memory Based Radar Display and Control System." In Machine Learning and Intelligent Communications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52730-7_39.

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Peng, Jun, Guangjiang Wu, and Chuan Wang. "Analysis of Human Factor Characteristics of Ship Control System." In Man-Machine-Environment System Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_24.

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Yu, Wei, Xiaolong Liang, Yan Sun, Jiang Luo, and Shilei Xin. "Study of Fire Control Radar Technology Countering Electronic Attack." In Man-Machine-Environment System Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_62.

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Zhou, Yanli, Xiaolei Tan, Jiejie Zhang, and Feng Sha. "The Unfolding of a Clock Based on the Arduino Control." In Man-Machine-Environment System Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2481-9_20.

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Wang, Heping, Mei Zhang, and Xiaoyu Zhong. "Study on Test Specification for Vibration Control of Heavy Vehicles." In Man-Machine-Environment System Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2481-9_78.

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Yu, Kun, Ying Zhang, and Shuqin Zhao. "Virtual Verification System of MME Design for Ship Control Cabins." In Man-Machine-Environment System Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2323-1_50.

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An, Leibing, Jun Ma, and Dan Zhao. "The Usability of Advance Intersection Lane Control Signs at Intersections." In Man-Machine-Environment System Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_53.

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Conference papers on the topic "Machine control system"

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Yang, Xiaowei, Jianguo Wu, Kun Zhang, Peijian Zhang, and Conghua Xie. "Research on machine vision based networked supervisory control system." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737611.

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Salmenpera¨, Pekka, and Juha Miettinen. "Supervised Operation Monitoring and Control System of Rotating Rolls." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-55149.

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The dynamic behavior of rotating machinery depends on the construction and foundation of the machine and in addition of the machine running parameters. By choosing appropriate parameters it is possible to influence considerably on the vibration of the machine. By driving the machine in that kind of an advantageous running window it is possible to minimize the vibration of the machine and to improve the quality of the product, but not to lose the efficiency of the productivity. Machines where the running window is important in maximizing the quality of the product are rotating cylindrical rolls in line contact for example in paper machines and grinding machines. In that kind of machines resonance situations are the most dangerous operation situations. The on-line measurement from rotating machine components requires wireless measurement data transfer applications. Sophisticated systems for that purpose need transfer capacity of several channels and two-way communications. Two-way communications allows the control of the measurement, versatile analysis of measurement signals and the control or supervised control of the running situation of the machine. If network solutions, for example via www are used, it is possible to use remote operation monitoring and control. In this paper a supervised operation monitoring and control system of a pilot roll station at Tampere University of Technology is described. The main components of the system are measurement unit on the end flange of the rotating roll, wireless local area network for measurement data transfer from the rotating roll to the control room computer and the local area network that connects the process control and signal analysis computers together. The system contains also a WWW-based remote control system for measurement signals from the rotating rolls and for the process variables. One possibility in this kind of complicated control situation is to use the fuzzy logics principle. Fuzzy logics are principally suitable for process control when knowledge-based systems fit well in diagnostics. However, fuzzy rule-based control can be defined as a knowledge-based system. For finding out the suitable running windows in the pilot roll station a fuzzy rule-based, supervised roll rotational speed control system is used. The paper describes also the fuzzy systems and comprises preliminary experimental results.
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Niu, QinZhou, and Yuan Liu. "H-infinity Control Theory in Vehicle Diesel Fuel Injection Pump Control System Design." In 2010 International Conference on Machine Vision and Human-machine Interface. IEEE, 2010. http://dx.doi.org/10.1109/mvhi.2010.99.

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Huang, Xue-Wu, Li-Jun Chen, and Hua-Yao Zheng. "Investigation of Fieldbus Control System in Marine Engine Room Process Control Systems." In 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370232.

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Habacher, Michael, Paul O'Leary, Matthew Harker, and Johannes Golser. "Machine vision system for the control of tunnel boring machines." In IS&T/SPIE Electronic Imaging, edited by Philip R. Bingham and Edmund Y. Lam. SPIE, 2013. http://dx.doi.org/10.1117/12.2003847.

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Yang, Jiandong, and Xin Qi. "Research on Welding Machine Control System." In First International Conference on Information Sciences, Machinery, Materials and Energy. Atlantis Press, 2015. http://dx.doi.org/10.2991/icismme-15.2015.30.

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Kozlova, Liudmila P., Aleksandr M. Belov, and Olga A. Kozlova. "Cellulose Drying Machine Control System Simulation." In 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus). IEEE, 2021. http://dx.doi.org/10.1109/elconrus51938.2021.9396264.

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Yong-Guang Ma and Liang Yuan. "Robust H∞ control of networked control system." In 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212510.

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Gai, Yuxian, Huiying Liu, and Shen Dong. "Vibration Control System for a Sub-Micro Ultra-Precision Turning Machine." In 2007 First International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2007. http://dx.doi.org/10.1115/mnc2007-21040.

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For a sub-micro ultra-precision turning machine using airsprings as vibration isolation elements, a 5 FOG mathematical model is established, activation f acted on the machine bed is as the input, the output are vertical displacement y1, oscillating φ1, ψ1 around the horizontal axle x and z of the machine bed, vertical displacement y2 of the main spindle box, and vertical displacement y3 of the slider. The equations for vibration system of 5 FOG are solved. The results indicate, when actuation force f ≠ 0, the outputs of all 5 FOG are increasing with the increasing of f. when activation f = 0, the outputs of all 5 FOG tend to zero. Assuming f include the vibration of machine base and an external force, when external force is equal to that of the vibration of machine base, then f = 0. The vibration of 5 FOG can be effectively isolated, so electromagnetic actuators as an external force, also as active vibration isolation elements can be used in the isolation system. Three electro-magnetic actuators arranging as triangle act as an external force, the quantity is equal to that of the base vibration, and the phase reverse. In fact ultra-precision turning machine is a complicated mechanism system and in the machining process, the headstock and horizontal-slider are in the movement, that is to say, the center of mass of the ultra-precision machine is changeable. Impossible is f = 0 for a practical control. In order to get a effective vibration isolation, fuzzy controller is used. The synthetic experiments have been done for the 5 FOG vibration system of the ultra-precision turning machine. The result of three actuations experiment that has been done in y direction indicates that the vibration of y direction, and oscillating φ1, ψ2 around the horizontal axle x and z of the machine bed are to be controlled. A work-piece of aluminum alloy has been machined using the sub-micro ultra-precision turning machine with the active vibration isolation elements, and without the active vibration isolation elements, AFM microscope graphs show the surface roughness of the work-piece machined by the former better as by the latter.
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Usamentiaga, Rubén, Julio Molleda, Daniel F. García, and Francisco G. Bulnes. "Machine Vision System for Flatness Control Feedback." In 2009 Second International Conference on Machine Vision. IEEE, 2009. http://dx.doi.org/10.1109/icmv.2009.14.

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Reports on the topic "Machine control system"

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Miller, D. J., and C. S. Loucks. An intelligent CNC machine control system architecture. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/399679.

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Fishman, Douglas. The High Level Machine-tool Control System. National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nbs.ir.88-3836.

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Chassin, David P. The Abstract Machine Model for Transaction-based System Control. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/969749.

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Cary, Dakota, and Daniel Cebul. Destructive Cyber Operations and Machine Learning. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/2020ca003.

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Machine learning may provide cyber attackers with the means to execute more effective and more destructive attacks against industrial control systems. As new ML tools are developed, CSET discusses the ways in which attackers may deploy these tools and the most effective avenues for industrial system defenders to respond.
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Domer, G. A. Modification of the logic and control system for the 80-ounce injection molding machine. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/5050653.

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Truitt, R. W. Human-machine interface (HMI) report for 241-SY-101 data acquisition [and control] system (DACS) upgrade study. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/353243.

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Froehlich, D. P., and J. A. Schumacher. Develop a field grid system for yield mapping and machine control. Quarterly report, January 1, 1995--March 31, 1995. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/33081.

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Hart, F., and J. Windish. Develop a field grid system for yield mapping and machine control. Quarterly report, July 1, 1995--September 30, 1995. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/108125.

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Froehlich, D. P., and J. A. Schumacher. Develop a field grid system for yield mapping and machine control. Quarterly report, April 1, 1995--June 30, 1995. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/87079.

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Langstrand, Jens-Patrick, Rob McDonald, and Hoa Nguyen. Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1768572.

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