Готові списки джерел за темами / Control Variable

Добірка наукової літератури з теми "Control Variable"

Автор: Grafiati
Опубліковано: 8 вересня 2023

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Статті в журналах з теми "Control Variable"

1

Chun, Changmook, Le Dihn-Phong, Byungchan Kim, and Sungchul Kang. "Manipulability-Based Variable Damping Control in Robotic Manipulation." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 416–20. http://dx.doi.org/10.1299/jsmeicam.2010.5.416.

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2

Dursun, Emre Hasan, and Akif Durdu. "Speed Control of a DC Motor with Variable Load Using Sliding Mode Control." International Journal of Computer and Electrical Engineering 8, no. 3 (2016): 219–26. http://dx.doi.org/10.17706/ijcee.2016.8.3.219-226.

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3

Hino, Junichi, Masao Kurimoto, and Motomichi Sonobe. "63103 Vibration Control of Truck Crane by Variable Constrained Control with Neural Network(Control of Multibody Systems)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _63103–1_—_63103–8_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._63103-1_.

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4

Nashed, Maged N. F. "Variable Angle of SRG for Wind Energy Control Application." International Journal of Engineering Research 4, no. 2 (February 1, 2015): 55–59. http://dx.doi.org/10.17950/ijer/v4s2/203.

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5

Buchli, Jonas, Freek Stulp, Evangelos Theodorou, and Stefan Schaal. "Learning variable impedance control." International Journal of Robotics Research 30, no. 7 (April 2011): 820–33. http://dx.doi.org/10.1177/0278364911402527.

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6

Li, H. X., H. B. Gatland, and A. W. Green. "Fuzzy variable structure control." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27, no. 2 (April 1997): 306–12. http://dx.doi.org/10.1109/3477.558824.

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7

Niu, Hong, Qingling Zhang, Chunyu Yang, and Fenglan Bai. "Variable structure control for three-variable autocatalytic reaction." Journal of Control Theory and Applications 11, no. 3 (July 4, 2013): 393–400. http://dx.doi.org/10.1007/s11768-013-2044-8.

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8

Tan, Han-Shue, and Yuen-Kwok Chin. "Vehicle Traction Control: Variable-Structure Control Approach." Journal of Dynamic Systems, Measurement, and Control 113, no. 2 (June 1, 1991): 223–30. http://dx.doi.org/10.1115/1.2896369.

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Анотація:
A longitudinal one-wheel vehicle model is described for both anti-lock braking and anti-span acceleration. Based on this vehicle model, sufficient conditions for applying sliding-mode control to vehicle traction are derived via Lyapunov Stability Theory. With the understanding of these sufficient conditions, control laws are designed to control vehicle traction. Both the sufficient conditions and the control laws are verified using computer simulations.
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9

Wei, Jianli, Shida Tian, and Xinghua Yao. "Variable Structure Control for Hypersonic Vehicle Based on Model Reference." International Journal of Applied Physics and Mathematics 5, no. 2 (2015): 144–52. http://dx.doi.org/10.17706/ijapm.2015.5.2.144-152.

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10

Riccardi, Fabio, Muhammad Farooq Haydar, Simone Formentin, and Marco Lovera. "Control of variable-pitch quadrotors." IFAC Proceedings Volumes 46, no. 19 (2013): 206–11. http://dx.doi.org/10.3182/20130902-5-de-2040.00143.

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Дисертації з теми "Control Variable"

1

Hughes, Christopher Scott. "Variable Sampling Rate Control Charts for Monitoring Process Variance." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/37643.

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Анотація:
Industrial processes are subject to changes that can adversely affect product quality. A change in the process that increases the variability of the output of the process causes the output to be less uniform and increases the probability that individual items will not meet specifications. Statistical control charts for monitoring process variance can be used to detect an increase in the variability of the output of a process so that the situation can be repaired and product uniformity restored. Control charts that increase the sampling rate when there is evidence the variance has changed gather information more quickly and detect changes in the variance more quickly (on average) than fixed sampling rate procedures. Several variable sampling rate procedures for detecting increases in the process variance will be developed and compared with fixed sampling rate methods. A control chart for the variance is usually used with a separate control chart for the mean so that changes in the average level of the process and the variability of the process can both be detected. A simple method for applying variable sampling rate techniques to dual monitoring of mean and variance will be developed. This control chart procedure increases the sampling rate when there is evidence the mean or variance has changed so that changes in either parameter that will negatively impact product quality will be detected quickly.
Ph. D.
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2

Ginsberg, David W. "Variable structure control systems." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/18787.

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Анотація:
The primary aims of this thesis, is to provide a body of knowledge on variable structure system theory and to apply the developed design concepts to control practical systems. It introduces the concept of a structure. The main aim in designing variable structure controllers, is to synthesize a variable structure system from two or more single structure systems, in such a way that the ensuing system out-performs its component structures. When a sliding mode is defined, the ensuing closed loop behaviour of the system is invariant to plant parameter changes and external disturbances. A variable structure controller was designed for a servo motor and successfully applied to the system. In practice, the phase plane representative point does not slide at infinite frequency with infinitesimal amplitude along the switching surface(s). Thus, the concept of a quasi-sliding regime was introduced. For high performance system specifications, the phase plane representative point could cycle about the origin. In some instances, sliding could be lost. For high speed applications, a novel design modification ensured that the system did not lose sliding. In addition, the controller could track a rapidly changing set point. Successful results support the developed theory.
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3

Amin, Raid Widad. "Variable sampling interval control charts." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/82617.

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Анотація:
Process control charts are widely used to display sample data from a process for purposes of determining whether a process is in control, for bringing an out-of-control process into control, and for monitoring a process to make sure that it stays in control. The usual practice in maintaining a control chart is to take samples from the process at fixed length sampling intervals. This research investigates the modification of the standard practice where the sampling interval or time between samples is not fixed but can vary depending on what is observed from the data. Variable sampling interval process control procedures are considered for monitoring the outcome of a production process. The time until the next sample depends on what is being observed in the current sample. Sampling is less frequent when the process is at a high level of quality and vise versa. Properties such as the average number of samples until signal, average time to signal and the variance of the time to signal are developed for the variable sampling interval Shewhart and cusum charts. A Markov chain is utilized to approximate the average time to signal and the corresponding variance for the cusum charts. Properties of the variable sampling interval Shewhart chart are investigated through Renewal Theory and Markov chain approaches for the cases of a sudden and gradual shift in the process mean respectively. Also considered is the case of a shift occurring in the time between two samples without the simplifying assumption that the process mean remains the same from time zero onward. For such a case, the adjusted time to signal is developed for both the Shewhart and cusum charts in addition to the variance of the adjusted time to signal. Results show that the variable sampling interval control charts are considerably more efficient than the corresponding fixed sampling interval control charts. It is preferable to use only two sampling intervals which keeps the complexity of the chart to a reasonable level and has practical implications. This feature should make such charts very appealing for use in industry and other fields of application where control charts are used.
Ph. D.
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4

Wang, Longke. "Adaptive control of variable displacement pumps." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43654.

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Анотація:
Fluid power technology has been widely used in industrial practice; however, its energy efficiency became a big concern in the recent years. Much progress has been made to improve fluid power energy efficiency from many aspects. Among these approaches, using a valve-less system to replace a traditional valve-controlled system showed eminent energy reduction. This thesis studies the valve-less solution-pump displacement controlled actuators- from the view of controls background. Singular perturbations have been applied to the fluid power to account for fluid stiffness; and a novel hydraulic circuit for single rod cylinder has been presented to increase the hydraulic circuit stabilities. Recursive Least Squares has been applied to account for measurement noise thus the parameters have fast convergence rate, square root algorithm has further applied to increase the controller's numerical stability and efficiency. It was showed that this technique is consistent with other techniques to increase controller's robustness. The developed algorithm is further extended to a hybrid adaptive control scheme to achieve desired trajectory tracking for general cases. A hardware test-bed using the invented hydraulic circuit was built up. The experimental results are presents and validated the proposed algorithms and the circuit itself. The end goal of this project is to develop control algorithms and hydraulic circuit suitable for industrial practice.
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5

Reay, Donald S. "Variable structure control of industrial robots." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.257514.

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6

Sethuraman, Shanthi. "Variable sampling interval control strategies for a process control problem." Diss., Virginia Tech, 1995. http://hdl.handle.net/10919/40313.

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7

Woodham, Catherine Anne. "Eigenvalue placement for variable structure control systems." Thesis, University of Sheffield, 1992. http://etheses.whiterose.ac.uk/14793/.

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Анотація:
Variable Structure Control is a well-known solution to the problem of deterministic control of uncertain systems, since it is invariant to a class of parameter variations. A central feature of vsc is that of sliding motion, which occurs when the system state repeatedly crosses certain subspaces in the state space. These subspaces are known as sliding hyperplanes, and it is the design of these hyperplanes which is considered in this thesis. A popular method of hyperplane design is to specify eigenvalues in the left-hand half-plane for the reduced order equivalent system, and to design the control matrix to yield these eigenvalues. A more general design approach is to specify some region in the left-hand half-plane within which these eigenvalues must lie. Four regions are considered in this thesis, namely a disc, an infinite vertical strip, a sector and a region bounded by two intersecting sectors. The methods for placing the closed-loop eigenvalues within these regions all require the solution of a matrix Riccati equation : discrete or continuous, real or complex. The choice of the positive definite symmetric matrices in these Riccati equations affects the positioning of the eigenvalues within the region. suitable selection of these matrices will therefore lead to real or complex eigenvalues, as required, and will influence their position within the chosen region. The solution of the hyperplane design problem by a more general choice of the closed-loop eigenvalues lends itself to the minimization of the linear part of the control. A suitable choice of the position of the eigenvalues within the required region enables either the 2-norm of the linear part of the control, or the condition number of the linear feedback to be minimized. The choice of the range space eigenvalues may also be used, more effectively, in this minimization.
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8

Yallapragada, Subbarao. "Variable structure control and output feedback systems." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/13303.

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9

Ingvast, Johan. "Quadruped robot control and variable leg transmissions." Doctoral thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-600.

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10

Licari, John. "Control of a variable speed wind turbine." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/46516/.

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Stop signal task of response inhibition, I find that response inhibition (stopping) is slowed in the presence of angry facial expressions, and such slowing is greater in individuals high in trait neuroticism. Further, as predicted, the influence of neuroticism is moderated by individual differences in emotion regulation, such that good emotion regulation ‘buffers’ the impact of neuroticism. The implications of these findings for current cognitive models of threat-processing are discussed.
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Книги з теми "Control Variable"

1

Great Britain. Department of the Environment. and Building Energy Conservation Support Unit., eds. Variable flow control. [London]: Dept. of the Environment, 1996.

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2

I, Zinober A. S., ed. Variable structure and Lyapunov control. London: Springer-Verlag, 1994.

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3

Zinober, Alan S. I., ed. Variable Structure and Lyapunov Control. London: Springer-Verlag, 1994. http://dx.doi.org/10.1007/bfb0033675.

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4

1936-, Krasnoshchekov Anatolij D., ed. Control of variable structure networks. New York: Optimization Software, Publications Division, 1987.

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5

Engineers, Society of Automotive, and SAE International Congress & Exposition (1993 : Detroit, Mich.), eds. Variable valve actuation and control. Warrendale, PA: Society of Automotive Engineers, 1993.

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6

Yan, Xing-Gang, Sarah K. Spurgeon, and Christopher Edwards. Variable Structure Control of Complex Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48962-9.

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7

V, Brown Gerald, Inman D. J, and Lewis Research Center, eds. Adaptive variable bias magnetic bearing control. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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8

1943-, Sano Akira, and Atherton Derek P, eds. State variable methods in automatic control. Chichester [England]: Wiley, 1988.

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9

Németh, Balázs, and Péter Gáspár. Control of Variable-Geometry Vehicle Suspensions. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30537-5.

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10

Emelʹi͡anov, Stanislav Vasilʹevich. Variable-structure control systems: Discrete and digital. Moscow: Mir Publishers, 1995.

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Частини книг з теми "Control Variable"

1

Gooch, Jan W. "Control Variable." In Encyclopedic Dictionary of Polymers, 884. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_13468.

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2

Kwatny, Harry G., and Gilmer L. Blankenship. "Variable Structure Control." In Nonlinear Control and Analytical Mechanics, 267–305. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-2136-4_8.

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3

Weik, Martin H. "loop-control variable." In Computer Science and Communications Dictionary, 933. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10663.

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4

Weik, Martin H. "iteration control variable." In Computer Science and Communications Dictionary, 841. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9641.

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5

Wilkie, Jacqueline, Michael Johnson, and Reza Katebi. "Analysis of state variable systems." In Control Engineering, 683–709. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-1-4039-1457-6_22.

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6

Sengupta, Jati K., and Phillip Fanchon. "Variable Structure Systems." In Control Theory Methods in Economics, 181–210. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6285-6_6.

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7

Liu, G. P. "Variable Structure Neural Control." In Nonlinear Identification and Control, 163–78. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0345-5_8.

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8

Abramovici, Alex, and Jake Chapsky. "Two Sensors for One Variable." In Feedback Control Systems, 141–45. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4345-9_10.

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9

Sira-Ramírez, Hebertt. "Multi-variable sliding mode control." In Sliding Mode Control, 127–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_4.

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10

Leonhard, Werner. "Variable Frequency Synchronous Motor Drives." In Control of Electrical Drives, 307–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-97646-9_15.

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Тези доповідей конференцій з теми "Control Variable"

1

Ye, Lingjian, and Yi Cao. "A formulation for globally optimal controlled variable selection." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334619.

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2

Kariwala, Vinay, Lingjian Ye, and Yi Cao. "Branch and bound method for globally optimal controlled variable selection." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334620.

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3

Tang, Yimeng, and Ron J. Patton. "Phase modulation of robust variable structure control for nonlinear aircraft." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334625.

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4

Orihuela, L., S. K. Spurgeon, X. G. Yan, and F. R. Rubio. "A variable structure observer for unknown input estimation in sampled systems." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334698.

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5

Hur, Sung-ho, and Bill Leithead. "Model predictive control of a variable-speed pitch-regulated wind turbine." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737542.

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6

Lino, Paolo, Guido Maione, Fabrizio Saponaro, Jing Deng, and Kang Li. "Identification of solenoid valve dynamics in a variable valve timing system." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737570.

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7

Ma, Xiaoxuan, and Zhixin Chen. "VSW-SOAP: A SOAP message transmission mechanism based on variable sliding window." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334652.

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8

Hart, J. Scot, and Gu¨nter Niemeyer. "Wave Variable Based Force Control." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41469.

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Wave variable controllers maintain passive communication across time delays in telerobotics. As passive elements, wave variable controllers interact well with other passive elements, such as P.D. controllers and masses, and use a combination of force and velocity signals to apply force feedback. Currently we are exploring the use of wave variable controllers with large non-backdrivable industrial-type slave devices where dynamics are dominated by inertial and frictional forces. The objective is to integrate force sensor measurements into wave variable controllers to provide low frequency force feedback and hide the slave’s friction and inertia from the user in the presence of a communication time delay. This paper presents and uses a wave variable based approach to design force control. The resulting wave variable based force controller is converted to power variables and shown to be similar to traditional force controllers. A 1-DOF telerobotic system is used to experimentally show the wave variable based force control combines with the enhanced stability properties of the wave communication channel to produce robust slave side force control. The resulting system is better able to maintain force control with rigid environments then a traditional controller both with and without communication time delay.
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9

Li, Chengcheng, Jianguo Wu, Kun Zhang, Xiang Dai, and Sheng Xu. "Improved droop control based voltage compensation and variable droop coefficient in DC microgrids." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737608.

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10

Oya, Hidetoshi. "A new variable gain robust state observer for a class of uncertain linear systems." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737521.

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Звіти організацій з теми "Control Variable"

1

Johnson, K. E. Adaptive Torque Control of Variable Speed Wind Turbines. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/15008864.

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2

Krishnaprasad, P. S., and Dimitris P. Tsakiris. Nonholonomic Variable Geometry Truss Assemblies. 1. Motion Control. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada453147.

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3

Campbell, Mark. Human Centered, Variable Initiative Control of Complex Automata-Teams. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada425549.

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4

Sadek, Fahim, and Bijan Mohraz. Semi-active control algorithms for structures with variable dampers. Gaithersburg, MD: National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6052.

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5

KRISHNA, C. R., T. A. BUTCHER, and B. R. KAMATH. VARIABLE FIRING RATE OIL BURNER USING PULSE FUEL FLOW CONTROL. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/15011382.

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6

Monguillet, Jean-Marc, and Alexander H. Levis. Modeling and Evaluation of Variable Structure Command and Control Organizations. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada198813.

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7

Minami, Yutaro, Hiroshi Iwamo, Hiraku Ooba, and Naonori Onoda. A Study of Engine Torque Control by Variable Valve Actuation. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0507.

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Lappas, Vaios J. Combines Attitude Control and Energy Storage for Small Satellites using Variable Speed Control Moment Gyroscopes. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada523084.

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Goodwin, M. J., and M. P. Roach. Vibration Control in Rotating Machinery Using Variable Dynamic Stiffness Squeeze-Films. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada202902.

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Nenggen, Ding, and Bo Ying. PD Variable Structure Control of Electric Power Steering System of Cars. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0183.

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