Relevant bibliographies by topics / Control System Simulation

Contents

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

Academic literature on the topic 'Control System Simulation'

Author: Grafiati
Published: 21 February 2023

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Journal articles on the topic "Control System Simulation"

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Dexter, A. L. "Control system simulation — computer control." Energy and Buildings 10, no. 3 (January 1988): 203–11. http://dx.doi.org/10.1016/0378-7788(88)90006-0.

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Popova, O. V., Ya Yu Grigoriev, E. P. Zharikova, and A. L. Grigorieva. "LIGHTING CONTROL SYSTEM SIMULATION." Scholarly Notes of Komsomolsk-na-Amure State Technical University, no. 1 (2021): 10–18. http://dx.doi.org/10.17084/20764359_2021_49_10.

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Sovetov, B. Y., and S. A. Yakovlev. "ISDN Control System Simulation." IFAC Proceedings Volumes 21, no. 19 (June 1988): 241–44. http://dx.doi.org/10.1016/s1474-6670(17)54499-7.

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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 (June 1, 1997): 61–68. http://dx.doi.org/10.18618/rep.1997.1.061068.

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Atherton, D. P. "Simulation in Control System Design." IFAC Proceedings Volumes 20, no. 12 (September 1987): 43–49. http://dx.doi.org/10.1016/s1474-6670(17)55604-9.

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Huang, Da Zhi. "Motorcycle's Road Simulation System Based on PID Control." Advanced Materials Research 749 (August 2013): 576–81. http://dx.doi.org/10.4028/www.scientific.net/amr.749.576.

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The application of motorcycles electro-hydraulic servo road simulation system is based on the modeling and the simulating. The model with the systems feature and parameter is finished,and analyzed the closed loop frequency characteristic of the system ,and proved that the simulation met the request of the fact. In the paper,the PID controller is designed based on the Matlab/Simulink. The system is controlled used in PID controller.The precision meet the request of the road status,and the system can reappear the stochastic waveform.
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Wang, Lei, and Xue Ling. "Coordination Control Model of Manufacturing System." Applied Mechanics and Materials 101-102 (September 2011): 800–803. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.800.

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This paper established a coordination control model for manufacturing system with three manufacturing cells. The step responses of the system under randomly selected control parameters and under empirically optimized control parameters were studied via simulations. Simulation results show that the proposed model coincides with the real-world system.
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Okolnishnikov, Victor, Sergey Rudometov, and Sergey Zhuravlev. "Simulation Environment for Development of Automated Process Control System in Coal Mining." International Journal of Energy 15 (November 21, 2021): 98–101. http://dx.doi.org/10.46300/91010.2021.15.15.

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This paper describes a visual interactive simulation system of technological processes intended for the development and execution of simulation and emulation models for automated process control systems in coal mining. A set of simulation models of various subsystems of a mine was developed with the help of this simulation system. These models united to create simulation environment. Simulation environment is visually interactive, include emulation models of technological equipment and allow simulating complex situations in mines and working faces. Simulation environment was used for testing of control programs executed in programmable logic controllers.
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Liang, Chen, and Jun Lin. "The Simulation Platform of Network Control System." Advanced Materials Research 562-564 (August 2012): 1434–37. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1434.

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With the development of electronic technology, computer and networked communication technology, control system is speeding up from close and centralized architecture to being open and distributed, to satisfy the continuous developing requirement of control quality and management. Networked control system is gradually formed in the process, and soon become one of the most important domains of control technique. One of the research of networked control systems is the effect of network upon control systems .A simulation platform of networked control systems is designed for this purpose. Matlab is used to build models of real systems. The simulation platform gives good environment for the analysis and design of networked control systems.
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Grigas, Vytautas, Alexandra Legha, Anatolijus Sulginas, and Rymantas Tadas Toločka. "Rowing Force Simulation and Control System." Solid State Phenomena 164 (June 2010): 161–64. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.161.

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The rowing force simulation and control system is to be developed to generate the loading on the oar during the rowing stroke most adequate to the one acting during waterborne rowing. The paper presents the methodology of defining the law of change of loading on the oar by changing the cross-sectional area of flow channel of hydraulic loading unit at indoor rowing training facility. An example of the rowing force variation during one cycle obtained by using such a system is provided.
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Dissertations / Theses on the topic "Control System Simulation"

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Van, Heerden Eugene. "Integrated simulation of building thermal performance, HVAC system and control." Thesis, University of Pretoria, 1997. http://hdl.handle.net/2263/37304.

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Practicing engineers need an integrated building, HVAC and control simulation tool for optimum HVAC design and retrofit. Various tools are available to the researchers, but these are not appropriate for the consulting engineer. To provide the engineer with a tool which can be used for typical HVAC projects, new models for building, HVAC and control simulation are introduced and integrated in a user-friendly, quick-to-use tool. The new thermal model for buildings is based on a transfer matrix description of the heat transfer through the building shell. It makes provision for the various heat flow paths that make up the overall heat flow through the building structure. The model has been extensively verified with one hundred and three case studies. These case studies were conducted on a variety of buildings, ranging from a 4m2 bathroom, to a 7755 m2 factory building. Eight of the case studies were conducted independently in the Negev Desert in Israel. The thermal model is also used in a program that was custom-made for the AGREMENT Board (certification board for the thermal performance of new low-cost housing projects). Extensions to the standard tool were introduced to predict the potential for condensation on the various surfaces. Standard user patterns were incorporated in the program so that all the buildings are evaluated on the same basis. In the second part of this study the implementation of integrated simulation is discussed. A solution algorithm, based on the Tarjan depth first-search algorithm, was implemented. This ensures that the minimum number of variables are identified. A quasi-Newton solution algorithm is used to solve the resultant simultaneous equations. Various extensions to the HVAC and control models and simulation originally suggested by Rousseau [1] were implemented. Firstly, the steady-state models were extended by using a simplified time-constant approach to emulate the dynamic response of the equipment. Secondly, a C02 model for the building zone was implemented. Thirdly, the partload performance of particular equipment was implemented. Further extensions to the simulation tool were implemented so that energy management strategies could be simulated. A detailed discussion of the implications of the energy management systems was given and the benefits of using these strategies were clearly illustrated, in this study. Finally, the simulation tool was verified by three case studies. The buildings used for the verification ranged from a five-storeyed office and laboratory building, to a domestic dwelling. The energy consumption and the dynamics of the HVAC systems could be predicted sufficiently accurately to warrant the use of the tool for future building retrofit studies
Thesis (PhD)--University of Pretoria, 1997.
gm2014
Mechanical and Aeronautical Engineering
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Pham, Nga D. "Weapons control re-entry simulation enhancement." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02022010-020315/.

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M, Venkata Raghu Chaitanya. "Model Based Aircraft Control System Design and Simulation." Thesis, Linköping University, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-19264.

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Development of modern aircraft has become more and more expensive and time consuming. In order to minimize the development cost, an improvement of the conceptual design phase is needed. The desired goal of the project is to enhance the functionality of an in house produced framework conducted at the department of machine design, consisting of parametric models representing a large variety of aircraft concepts.

The first part of the work consists of the construction of geometric aircraft control surfaces such as flaps, aileron, rudder and elevator parametrically in CATIA V5.

The second part of the work involves designing and simulating an Inverse dynamic model in Dymola software.

An Excel interface has been developed between CATIA and Dymola. Parameters can be varied in the interface as per user specification; these values are sent to CATIA or Dymola and vice versa. The constructed concept model of control surfaces has been tested for different aircraft shapes and layout. The simulation has been done in Dymola for the control surfaces.

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Skjong, Stian. "Modeling, Simulation and Control of Hydraulic Winch System." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25578.

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In this thesis a hydraulic low pressure winch system has been modeled using bond graph theory. The hydraulic winch system is assumed to be installed on an offshore vessel affected by environmental forces and disturbances such as waves and currents. The hydraulic system powering the winch consists mainly of two pilot operated 3/3-directional valves controlled by two 4/3-directional valves and a hydraulic motor. The system also includes a pressure relief valve, check valves, pump systems, piping and filters. The 3/3-directional valves are the main focus in the model and are therefore modeled with less simplifications compared to the other subsystems. A thorough model study has been initiated to figure out the model limitations, sensitivity of model parameters and the ability to simplify the derived model without loosing essential dynamics and characteristics. The effects of variable bulk modulus and fluid inertia in the 3/3-directional valves have been studied by comparing different step responses and motor load characteristics. The observations and results from this model analysis laid the groundwork for control of the hydraulic motor. A clear relation between the main valve displacements and the motor velocity and torque in 4/3 valve configuration gave reasons to believe that manual motor control done by the winch operator through control of the valve displacements was possible. Adaptive PID controllers were used as inner controllers to control the control slides in the main valves. These controllers were later on replaced with PD-controllers when outer control was derived because the adaptive controllers tended to be a bit slow. Simplified state equations describing the motor dynamics were derived for control design purposes. The state equations extracted from the bond graph model showed high complexity, containing logic and discrete quantities, and were not suitable for control design. Model based speed- and torque controllers, based on sliding mode and backstepping control theory, were derived based on the simplified equations and implemented in the model. Different load cases were initiated to test the two controllers. A lumped wire-load model containing hydrodynamics, wire- and reel dynamics and environmental disturbances such as current and heave motions of the vessel were added in the total winch model to test the controllers in different operations with varying conditions and environments. The results from these controller tests gave reason to believe that a combination of these two controllers would be favourable in certain operations and would give increased safety in extreme cases such as stuck load and loss of load. The derived speed and torque controller were put into a hybrid controller framework and a switching algorithm was designed with focus on switching stability and wanted functionalities for the winch system. It was observed that switching stability and winch functionality were closely connected and different winch operations were essential in the design of the switching algorithm. Dwell time and tracking error switching were used as the main controller switching restrictions together with functionality based switching conditions. Different simulations were initiated to test the hybrid controller such as stuck load, loss of load and landing of a load at the sea floor. A Luenberger observer was derived to estimate the motor load and the motor velocity by using the simplified state equations and the differential pressure across the hydraulic motor as measurement in order to ensure redundancy in the control system and be able to control the hydraulic winch even though the decoder measuring the hydraulic motor velocity fails.
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Gao, Jianmin. "Control and simulation of an active suspension system." Thesis, University of Wolverhampton, 1997. http://hdl.handle.net/2436/97364.

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Aslin, P. P. "Aircraft simulation and robust flight control system design." Thesis, University of York, 1985. http://etheses.whiterose.ac.uk/9821/.

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Mohamad, Mohamad Kheir. "Control System of Building using Modelling and Simulation." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-234236.

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Udržovaní vnitřních klimatických podmínek tak, aby byly v souladu s tepelným komfortem lidí, je klíčovou otázkou pro řízení systémů vytápění, větrání a klimatizace (HVAC systémy). Počítačové modelování nabízí virtuální prostředí pro simulaci vnitřních i vnějších podmínek a s jeho pomocí je možné navrhnout řešení pro řízení technických zařízení budov. Tento proces vyžaduje pochopení těchto prostředí z fyzikálního a matematického hlediska tak, aby bylo možné fyzikální procesy daných prostředí prezentovat pomocí vztahů a rovnic odrážejících jejích různé parametry. Simulační proces dále nabízí možnost popsat interakci mezi těmito modely a jejich chování v čase, dává výchozí reprezentace těchto prostředí, a umožňuje pochopení jejich chování před přenosem těchto modelů do reálných aplikací. Simulace umožnuje respektovat, a ovlivňovat jejích chování přes kontrolu navržených modelů. MATLAB/SIMULINK software má pokročilé schopnosti pro simulace systémů HVAC, a to vytvořením širokého pracovního prostředí pro designéry v závislosti na vývoji matematických modelů a jejích simulace pomocí SIMULINK, aby výsledky mohly být slučitelné s požadovanými výstupy. Tato dizertační práce se zaměřuje na proces modelování vnitřního prostředí v budovách, aby bylo možné pochopit chování klíčových parametrů, které mají vliv na tepelnou pohodu obyvatel či uživatelů, matematické modely vnitřního prostředí posluchárny byly navržené speciálně pro tři základní parametry: koncentrace oxidu uhličitého, teplota vzduchu a relativní vlhkost. Změny chování těchto parametrů v průběhu času jsou simulovány a poté strategie kontroly návrhu těchto parametrů může je udržet ve vhodných rozmezích komfortních pro obyvatele či uživatele, i když změny venkovního klimatu, tepelné a hmotnostní zatíží interiér. Pomocí matematických metod, některé optimalizační metody byly navrženy za účelem snížení spotřeby energie bez vlivu na mezní hodnoty těchto parametrů. Proces validace modelu se provádí porovnáním výsledků s reálnými výstupy monitoringu Honeywell Enterprise Buildings Integrator systémem (EBI) nainstalován v areálu univerzity.
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Furmanik, Olga, and Alireza Famili. "Control system integration in ADAMS : With emphasis on hauler Automatic Traction Control system." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-45957.

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The thesis investigates control system integration in ADAMS and the thesis presents appropriate knowledge related to the topic as multi body system, acting forces between road and wheels, equation of motion regarding to the haulers, traction control system and differential locks. The emphasis of the thesis is to implement and test the automatic traction control (ATC) for the hauler into ADAMS and Simulink models. The ATC models are based on certain requirements provided by Volvo Construction Equipment. As expected, results indicate that the ATC model operates during simulation for various road conditions. Nevertheless, the ATC model includes a few defects which are observed in results. The significant achievement of the thesis is a great collaboration between ADAMS and Simulink model.
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Li, Faming. "Economic resource allocation in system simulation and control design." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3208009.

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Thesis (Ph. D.)--University of California, San Diego, 2006.
Title from first page of PDF file (viewed May 18, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 127-131).
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Eklund, John M. "Aircraft flight control simulation using parallel cascade system identification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0004/MQ28194.pdf.

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Books on the topic "Control System Simulation"

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Golten, Jack. Control system design and simulation. London: McGraw-Hill, 1991.

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Andy, Verwer, ed. Control system design and simulation. London: McGraw-Hill, 1991.

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Chinchuluun, Altannar. Optimization, Simulation, and Control. New York, NY: Springer New York, 2013.

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S, Sideman, Beyar Rafael, and Henry Goldberg Workshop on Simulation and Control of the Cardiac System (2nd : 1985 : Haifa, Israel), eds. Simulation and control of the cardiac system. Boca Raton, Fla: CRC Press, 1987.

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IMACS World Congress on Scientific Computation (12th 1988 Paris, France). Complex and distributed systems: Analysis, simulation and control. Amsterdam: North-Holland, 1986.

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IMACS, World Congress on Scientific Computation (12th 1988 Paris France). Complex and distributed systems: Analysis, simulation and control. Amsterdam: North-Holland, 1986.

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Butler, Ashley F. G. A production - distribution system simulation model. Dublin: University College Dublin, 1994.

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Gao, Jianmin. Control and simulation of an active suspension system. Wolverhampton: University of Wolverhampton, 1997.

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Rahim, Zurani. Simulation of an ambulance command and control system. Manchester: University of Manchester, Department of Computer Science, 1995.

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Alex, Palamides, ed. Control system problems: Formulas, solutions, and simulation tools. Boca Raton, FL: CRC Press, 2011.

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Book chapters on the topic "Control System Simulation"

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Nohel, Jan, and Zdeněk Flasar. "Maneuver Control System CZ." In Modelling and Simulation for Autonomous Systems, 379–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43890-6_31.

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Walters, R. B. "Modular Optimized System Simulation." In Hydraulic and Electric-Hydraulic Control Systems, 97–108. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9427-1_13.

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Walters, R. B. "Modular Optimized System Simulation." In Hydraulic and Electro-Hydraulic Control Systems, 97–108. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3840-6_13.

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Murray-Smith, D. J. "Case Study I — A Two-Tank Liquid Level Control System." In Continuous System Simulation, 153–62. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2504-2_10.

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Chang, Sen-I., Shih-Jen Wang, and Min-Song Lin. "The Role of Simulation in Control System Design/Modification." In Nuclear Simulation, 205–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83221-5_14.

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Hollingsworth, Joseph E. "Toward Formalizing Control System Simulation Software." In Studies in Computer Science, 213–20. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-1791-7_14.

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Duffin, James. "Simulation of the Respiratory Control System." In Advances in Experimental Medicine and Biology, 315–20. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1375-9_50.

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Larkin, Eugene, Aleksandr Privalov, and Tatiana Akimenko. "Swarm Unit Digital Control System Simulation." In Lecture Notes in Computer Science, 3–12. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78743-1_1.

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Pukrushpan, Jay T., Anna G. Stefanopoulou, and Huei Peng. "Fuel Cell System Model: Analysis and Simulation." In Advances in Industrial Control, 57–64. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3792-4_4.

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Lurie, Boris J., and Paul J. Enright. "Linear Links and System Simulation." In Classical Feedback Control with Nonlinear Multi-Loop Systems, 235–76. Third edition. | Boca Raton : Taylor & Francis, CRC Press, [2020] |: CRC Press, 2019. http://dx.doi.org/10.1201/9781351011853-7.

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Conference papers on the topic "Control System Simulation"

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Samarnggoon, Keattikorn, and Hongnian Yu. "Real time virtual simulation of an underactuated pendulum-driven capsule system." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334692.

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Cioffi, C., F. Pagliarecci, and L. Spalazzi. "An anomaly-based system for parental control." In Simulation (HPCS). IEEE, 2009. http://dx.doi.org/10.1109/hpcsim.2009.5194728.

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Jia, Xiaoyan, Xue Wang, Xiaohua Xie, and Hong Chen. "Research on speed-sensorless induction motor control system based on AMESim-Simulink simulation." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334659.

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Shen, Yan-xia, Fan Li, Dinghui Wu, Ting-long Pan, and Xiang-xia Liu. "dSpace based direct-driven permanent magnet synchronous wind power system modeling and simulation." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334734.

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Ying, Liu, Liu Quanli, and Wang Wei. "Discrete Event Dynamic System Simulation Base on SystemC." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347169.

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Jin, Guo-Dong, Liang-Xian Gu, and Li-Bin Lu. "UAV Simulator-Based Simulation of Flight Control System." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5073226.

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KIM, Donghun, Wangda ZUO, James e. BRAUN, and Michael WETTER. "Comparisons Of Building System Modeling Approaches For Control System Design." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1409.

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Nakonechnyi, Markian, Oleksandr Viter, Orest Ivakhiv, Roman Velgan, Yuriy Hirniak, and Rostyslav Deyneka. "Vehicle Speed Control System Simulation." In 2021 11th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2021. http://dx.doi.org/10.1109/acit52158.2021.9548530.

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Chiang, Yu-Lun, Jen-Chen Chuang, and Jia-Ying Tu. "Control Simulation of Hydraulic Adjustment System." In ASME 2017 Conference on Information Storage and Processing Systems collocated with the ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/isps2017-5452.

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Hydraulic actuation systems are widely applied in the modern industry, such as robots, excavators, vehicle suspension systems, machine tools, and testing of structural systems, because hydraulic actuation systems are able to provide with large loading capacity. However, the design parameters and control techniques related to temperature, flow volume, flow resistance, etc., affect the stable performance of hydraulic pressure and need to be concerned with. In addition, while an unexpected external loading is applied, which makes a reaction force to the hydraulic oil and results in pressure variations, advanced real-time control techniques is required, in order to maintain a high-level stability and accuracy of the output pressure. To this end, a hydraulic power system is developed in this work, which installs two proportional valves for real-time adjustment of hydraulic pressure. In this paper, the performance compensation of hydraulic pressure involves two steps of control development; the first step is to establish the mathematical model of the hydraulic adjustment system, and the second step is to simulate the pressure response of hydraulic adjustment system with controller design. In this first step, real-time dSPACE control system is utilized to implement identification work, for the purpose of establishing a multi-input/multi-output (MIMO) dynamic model of the active hydraulic adjustment system. Then, based on the dynamic model, the second step develops a feedforward-feedback and a PID controller for the active hydraulic adjustment system; the dynamic responses and control performance are verified via numerical simulation studies.
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Schultze, Martin, Michael Kirsten, Sven Helmker, and Joachim Horn. "Modeling and simulation of a coupled double-loop-cooling system for PEM-fuel cell stack cooling." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334744.

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Reports on the topic "Control System Simulation"

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Kettering, B., and P. Van Arsdall. Integrated computer control system startup simulation. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/8307.

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Kettering, B., and P. Van Arsdall. Integrated computer control system status monitor simulation. Office of Scientific and Technical Information (OSTI), September 1998. http://dx.doi.org/10.2172/8308.

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Van Arsdall, P., and C. E. Annese. Integrated computer control system countdown status messages simulation. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/8047.

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Mitchell, R. STL (Simulation Technology Laboratory) Global Control System, technical reference. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6812798.

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Weeks, Joseph L., and L. B. McDonald. Preliminary Evaluation of the Control Interface for a Training Simulation System. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada423487.

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Schryver, J. C., and J. V. Draper. Simulation analysis of control strategies for a tank waste retrieval manipulator system. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/28209.

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Wang, Haoyu, Roberto Ponciroli, Richard Vilim, and Andrea Alfonsi. Development of Control System Functional Capabilities within the IES Plug-and-Play Simulation Environment. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1721623.

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Meade, Glen A., Ryszard Lozicki, Bruce C. Leibrecht, Paul G. Smith, and William E. Myers. The Combat Vehicle Command and Control System. Combat Performance of Armor Battalions Using Interactive Simulation. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada282744.

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Shou, Guoming, David C. Wilkins, Mark Hoemmen, Christopher Mueller, and Patricia A. Tatem. Supervisory Control System for Ship Damage Control: Volume 2 - Scenario Generation and Physical Ship Simulation of Fire, Smoke, Flooding, and Rupture. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada390196.

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Wang, Haoyu, Roberto Ponciroli, Richard Vilim, and Andrea Alfonsi. Validation and Demonstration of Control System Functional Capabilities within the IES Plug-and-Play Simulation Environment. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1777477.

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