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Journal articles on the topic 'Control phenomena'

Author: Grafiati

Published: 11 March 2023

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1

TETSUKA, Masaru, Shinji HARA, and Ryou KONDO. "Ripple Phenomena in Digital Repetitive Control." Transactions of the Society of Instrument and Control Engineers 27, no. 8 (1991): 915–21. http://dx.doi.org/10.9746/sicetr1965.27.915.

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2

Maruo, Hiroshi. "Weld pool phenomena and their control." Journal of the Japan Welding Society 55, no. 8 (1986): 454–56. http://dx.doi.org/10.2207/qjjws1943.55.454.

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3

BARTOLINI, G. "Chattering phenomena in discontinuous control systems." International Journal of Systems Science 20, no. 12 (December 1989): 2471–81. http://dx.doi.org/10.1080/00207728908910327.

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4

Latikka, Mika, Matilda Backholm, Jaakko V. I. Timonen, and Robin H. A. Ras. "Wetting of ferrofluids: Phenomena and control." Current Opinion in Colloid & Interface Science 36 (July 2018): 118–29. http://dx.doi.org/10.1016/j.cocis.2018.04.003.

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5

Lu, Weiyu, Guoping Huang, Jinchun Wang, and Yuxuan Yang. "Interpretation of Four Unique Phenomena and the Mechanism in Unsteady Flow Separation Controls." Energies 12, no. 4 (February 13, 2019): 587. http://dx.doi.org/10.3390/en12040587.

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Unsteady flow separation controls are effective in suppressing flow separations. However, the unique phenomena in unsteady separation control, including frequency-dependent, threshold, location-dependent, and lock-on effects, are not fully understood. Furthermore, the mechanism of the effectiveness that lies in unsteady flow controls remains unclear. Thus, this study aims to interpret further the unique phenomena and mechanism in unsteady flow separation controls. First, numerical simulation and some experimental results of a separated curved diffuser using pulsed jet flow control are discussed to show the four unique phenomena. Second, the bases of unsteady flow control, flow instability, and free shear flow theories are introduced to elucidate the unique phenomena and mechanism in unsteady flow separation controls. Subsequently, with the support of these theories, the unique phenomena of unsteady flow control are interpreted, and the mechanisms hidden in the phenomena are revealed.

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6

Hirasawa, Kotaro, Junichiro Misawa, Jinglu Hu, Junichi Murata, Masanao Ohbayashi, and Yurio Eki. "Chaos Universal Learning Network Clustering Control." Journal of Robotics and Mechatronics 10, no. 4 (August 20, 1998): 305–10. http://dx.doi.org/10.20965/jrm.1998.p0305.

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With chaos a key phenomenon in complex systems, researchers are paying increasing attention to chaotic systems. Chaos control such as OGY by Ott and Yorke were developed to stabilize such phenomena. This paper presents new control for clustering rather than restraining chaotic phenomena. A chaos network with chaotic phenomena is constructed using the Universal Learning Network (ULN), a general, effective tool for modeling and controlling large-scale nonlinear complex systems, including physical, social, and economic phenomena. Simulations showed chaotic phenomena clustering is controlled easily and effectively by the proposed method.

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7

McNamee, Daniel, and Daniel M. Wolpert. "Internal Models in Biological Control." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (May 3, 2019): 339–64. http://dx.doi.org/10.1146/annurev-control-060117-105206.

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Rationality principles such as optimal feedback control and Bayesian inference underpin a probabilistic framework that has accounted for a range of empirical phenomena in biological sensorimotor control. To facilitate the optimization of flexible and robust behaviors consistent with these theories, the ability to construct internal models of the motor system and environmental dynamics can be crucial. In the context of this theoretic formalism, we review the computational roles played by such internal models and the neural and behavioral evidence for their implementation in the brain.

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8

Block, M., and E. Schöll. "Time delayed feedback control in growth phenomena." Journal of Crystal Growth 303, no. 1 (May 2007): 30–33. http://dx.doi.org/10.1016/j.jcrysgro.2006.10.254.

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9

Radenkovic, Miloje S., and Anthony N. Michel. "Possible bursting phenomena in self-tuning control." International Journal of Adaptive Control and Signal Processing 8, no. 2 (March 1994): 139–54. http://dx.doi.org/10.1002/acs.4480080202.

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10

Kal’yanov, E. V. "Transient phenomena and control of such phenomena in a generator with a delay." Journal of Communications Technology and Electronics 52, no. 1 (January 2007): 58–68. http://dx.doi.org/10.1134/s1064226907010081.

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11

Wada, Hiroshi, Toshio Fukuda, Hideo Matsuura, Fumihito Arai, Keigo Watanabe, and Yasumasa Shoji. "Collison Control of the Robot Manipulator by a Learning Control Using the Weighted Least-Squares Method." Journal of Robotics and Mechatronics 3, no. 6 (December 20, 1991): 491–96. http://dx.doi.org/10.20965/jrm.1991.p0491.

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Collision phenomena are very fast and nonlinear, thus, it is difficult to control a manipulator by collision phenomena. Therefore, in the past, manipulators moved slowly in order to avoid collision. However, the need for high-speed operation has been increasing, making it is indispensable to control manipulators by collision phenomena. With such fast phenomena, it is effective to use learning control in a forward manner. In this paper, we have proposed a learning control method to optimize the weighted least-squares criterion of learning errors. This method is applied in order to obtain a unique control gain by the Riccati equation which has a state dimension equal to the sampling number. It is shown that the convergence of learning error can be readily assured because the present learning rule consists of a steadystate Kalman filter. Based on this learning control method, experimental results of force control with a collision phenomena are reported.

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12

HIBARA, Akihide, Mao FUKUYAMA, Myungwha CHUNG, Craig PRIEST, and Mikhail A. PROSKURNIN. "Interfacial Phenomena and Fluid Control in Micro/Nanofluidics." Analytical Sciences 32, no. 1 (2016): 11–21. http://dx.doi.org/10.2116/analsci.32.11.

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13

BUDINGER, Valérie POMMIER, Julien RICHELOT, and Joël BORDENEUVE-GUIBE. "ACTIVE CONTROL OF A STRUCTURE WITH SLOSHING PHENOMENA." IFAC Proceedings Volumes 39, no. 16 (2006): 644–49. http://dx.doi.org/10.3182/20060912-3-de-2911.00112.

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14

Motta, Monica, Franco Rampazzo, and Richard Vinter. "Normality and gap phenomena in optimal unbounded control." ESAIM: Control, Optimisation and Calculus of Variations 24, no. 4 (October 2018): 1645–73. http://dx.doi.org/10.1051/cocv/2018069.

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Optimal unbounded control problems with affine control dependence may fail to have minimizers in the class of absolutely continuous state trajectories. For this reason, extended impulsive versions – which cannot be of measure-theoretic type – have been investigated, in which the domain is enlarged to include discontinuous state trajectories of bounded variation, and for which existence of minimizers is guaranteed. It is of interest to know whether the passage from the original optimal control problem to its extension introduces an infimum gap. This paper provides sufficient conditions for the absence of an infimum gap based on normality of extremals. In certain cases, the normality conditions reduce to simple verifiable criteria, which improve on earlier, directly-derived sufficient conditions for no infimum gap.

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15

Brif, Constantin, Raj Chakrabarti, and Herschel Rabitz. "Control of quantum phenomena: past, present and future." New Journal of Physics 12, no. 7 (July 8, 2010): 075008. http://dx.doi.org/10.1088/1367-2630/12/7/075008.

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16

Haidara, H., K. Mougin, and J. Schultz. "Nanoheterogeneous Surfaces in the Control of Interface Phenomena." Langmuir 16, no. 20 (October 2000): 7773–76. http://dx.doi.org/10.1021/la0005917.

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17

Danagoulian, Areg. "Verification of Arms Control Treaties with Resonance Phenomena." Nuclear Physics News 30, no. 1 (January 2, 2020): 25–30. http://dx.doi.org/10.1080/10619127.2020.1717271.

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18

Kholodenko, Boris N., Oleg V. Demin, and Hans V. Westerhoff. "Control Analysis of Periodic Phenomena in Biological Systems." Journal of Physical Chemistry B 101, no. 11 (March 1997): 2070–81. http://dx.doi.org/10.1021/jp962336u.

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19

Brockett, Roger. "Characteristic Phenomena and Model Problems in Nonlinear Control." IFAC Proceedings Volumes 29, no. 1 (June 1996): 3020–25. http://dx.doi.org/10.1016/s1474-6670(17)58137-9.

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20

Ohta, Yasuhiko. "In-cylinder Ignition Phenomena and their Control Procedures." Reference Collection of Annual Meeting VIII.03.1 (2003): 335–37. http://dx.doi.org/10.1299/jsmemecjsm.viii.03.1.0_335.

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21

ISOBE, Yu, and Shinobu YOSHIMURA. "2411 Control of Traffic Phenomena as Complex System." Proceedings of The Computational Mechanics Conference 2005.18 (2005): 695–96. http://dx.doi.org/10.1299/jsmecmd.2005.18.695.

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22

Pinsky, Mark A. "Averaging approach to feedback control of bifurcation phenomena." IFAC Proceedings Volumes 32, no. 2 (July 1999): 2610–15. http://dx.doi.org/10.1016/s1474-6670(17)56444-7.

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23

Olzak, Lynn A., and Pentti I. Laurinen. "Multiple gain control processes in contrast–contrast phenomena." Vision Research 39, no. 24 (December 1999): 3983–87. http://dx.doi.org/10.1016/s0042-6989(99)00131-5.

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24

Tachibana, Hiroaki, Yoshitaka Nishio, Takayoshi Nakamura, Mutsuyoshi Matsumoto, Eiichiro Manda, Hiroyuki Niino, Akira Yabe, and Yasujiro Kawabata. "Control of photochemical switching phenomena by chemical modification." Thin Solid Films 210-211 (April 1992): 293–95. http://dx.doi.org/10.1016/0040-6090(92)90238-7.

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25

Huang, Xi. "On the energy trait control phenomena in ecosystems." Ecological Modelling 211, no. 1-2 (February 2008): 36–46. http://dx.doi.org/10.1016/j.ecolmodel.2007.08.020.

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26

Felmer, Patricio, Alexander Quaas, and Boyan Sirakov. "Resonance Phenomena for Second-Order Stochastic Control Equations." SIAM Journal on Mathematical Analysis 42, no. 3 (January 2010): 997–1024. http://dx.doi.org/10.1137/080744268.

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27

Liu, Z. L. "Reinforcement adaptive fuzzy control of wing rock phenomena." IEE Proceedings - Control Theory and Applications 152, no. 6 (November 1, 2005): 615–20. http://dx.doi.org/10.1049/ip-cta:20045072.

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28

FUKUSAKO, Shoichiro. "Active Control of Frosting, Freezing, and Melting Phenomena." Journal of the Society of Mechanical Engineers 93, no. 864 (1990): 924–25. http://dx.doi.org/10.1299/jsmemag.93.864_924.

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29

Wada, Hiroshi, Toshio Fukuda, Keigo Watanabe, Hideo Matsuura, and Fumihito Arai. "Force Control of the Robot Manipulator with Collision Phenomena by Learning Control." JSME international journal. Ser. C, Dynamics, control, robotics, design and manufacturing 36, no. 2 (1993): 219–25. http://dx.doi.org/10.1299/jsmec1993.36.219.

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30

Meinköhn, Dirk. "Characteristic phenomena in combustion." Discrete Dynamics in Nature and Society 1, no. 2 (1997): 147–59. http://dx.doi.org/10.1155/s1026022697000150.

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For the case of a reaction–diffusion system, the stationary states may be represented by means of a state surface in a finite-dimensional state space. In the simplest example of a single semi-linear model equation given. in terms of a Fredholm operator, and under the assumption of a centre of symmetry, the state space is spanned by a single state variable and a number of independent control parameters, whereby the singularities in the set of stationary solutions are necessarily of the cuspoid type. Certain singularities among them represent critical states in that they form the boundaries of sheets of regular stable stationary solutions. Critical solutions provide ignition and extinction criteria, and thus are of particular physical interest. It is shown how a surface may be derived which is below the state surface at any location in state space. Its contours comprise singularities which correspond to similar singularities in the contours of the state surface, i.e., which are of the same singularity order. The relationship between corresponding singularities is in terms of lower bounds with respect to a certain distinguished control parameter associated with the name of Frank-Kamenetzkii.

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31

Vanbergue, Diane, Jean-Pierre Treuil, and Alexis Drogoul. "Modelling urban phenomena with cellular automata." Advances in Complex Systems 03, no. 01n04 (January 2000): 127–40. http://dx.doi.org/10.1142/s0219525900000108.

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Multi-agents systems are frequently used to study complex phenomena and offer tools that interest urban specialists. The aim of this article is to present an example of an approach on the phenomenon of intra-urban migration in Bogota. Our model is based on one of the simplest form of multi-agent systems, kind of cellular automata, where migrants are seen as population flow. It allows us to build an artificial city, based on real census, and also to represent the behaviour of the population, determined by its representation of the different districts. This paper presents the formalism of the model and some results.

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32

Aliyev, H. S., M. M. Guliyev, and R. S. Ismayilova. "Relaxation Phenomena in Polyvinylchloride/graphite Composites." IFAC-PapersOnLine 51, no. 30 (2018): 825–27. http://dx.doi.org/10.1016/j.ifacol.2018.11.186.

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33

KAMIYA, Hidehiro, and Motoyuki IIJIMA. "Characterization and Control of Dispersion/Aggregation Phenomena of Nanoparticles." Journal of the Japan Society of Colour Material 82, no. 5 (2009): 214–18. http://dx.doi.org/10.4011/shikizai.82.214.

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34

INOUE, Kaoru, Shigeru YAMAMOTO, Toshimitsu USHIO, and Takashi HIKIHARA. "Control of Jump Phenomena in a Flexible Rotor System." Transactions of the Institute of Systems, Control and Information Engineers 13, no. 7 (2000): 300–307. http://dx.doi.org/10.5687/iscie.13.7_300.

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35

Shoji, Yasumasa, Makoto Inaba, Toshio Fukuda, and Hidemi Hosokai. "Stable Control of Multi-link Manipulator Using Collision Phenomena." Journal of Robotics and Mechatronics 3, no. 6 (December 20, 1991): 482–90. http://dx.doi.org/10.20965/jrm.1991.p0482.

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In this paper, a methodology using the Lyapunov direct method is proposed to analyze the stability of a multi-link manipulator system, which is positioned on a flexible wall, with collision phenomenon. The stability and response of the system are examined by parameter studies of numerical simulation. Because industrial demands for rapid motion of robotics have been increasing in order to achieve higher efficiency, collision has become a problem because every task involves contact when a manipulator interacts with an object. However, few research has been initiated to overcome this problem. In this paper, we employ a Hertz-type model which includes an energy loss parameter to express the impact force between the manipulator and the wall. Using this model, we have verified the stabilization effect of collision by the Lyapunov method. The effect has been confirmed by simulation. As a result, stable positioning of the manipulator on a flexible wall is assured, and the use of collision is sometimes effective to control the manipulator to performs tasks with rapid contact.

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36

SHOJI, Yasumasa, Makoto INABA, Toshio FUKUDA, and Hidemi HOSOKAI. "Stable Control of Multi-link Manipulator Using Collision Phenomena." Journal of the Robotics Society of Japan 9, no. 5 (1991): 592–600. http://dx.doi.org/10.7210/jrsj.9.592.

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37

de Miguel, Alberto, Julio Pindado, and Chabela de la Torre. "How do Entrenchment and Expropriation Phenomena Affect Control Mechanisms?" Corporate Governance: An International Review 13, no. 4 (July 2005): 505–16. http://dx.doi.org/10.1111/j.1467-8683.2005.00445.x.

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38

Tinsley Oden, J., Serge Prudhomme, Albert Romkes, and Paul T. Bauman. "MultiScale Modeling of Physical Phenomena: Adaptive Control of Models." SIAM Journal on Scientific Computing 28, no. 6 (January 2006): 2359–89. http://dx.doi.org/10.1137/050632488.

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39

Pinsky, Mark A., and Bill Essary. "Analysis and control of bifurcation phenomena in aircraft flight." Journal of Guidance, Control, and Dynamics 17, no. 3 (May 1994): 591–98. http://dx.doi.org/10.2514/3.21238.

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40

Kuroiwa, Keita. "Supramolecular Control of Spin Crossover Phenomena Using Various Amphiphiles." Inorganics 5, no. 3 (July 14, 2017): 45. http://dx.doi.org/10.3390/inorganics5030045.

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41

Križan, Gregor, Janez Križan, Ivan Bajsić, and Miran Gaberšček. "Control of a pulse combustion reactor with thermoacoustic phenomena." Instrumentation Science & Technology 46, no. 1 (May 19, 2017): 43–57. http://dx.doi.org/10.1080/10739149.2017.1320288.

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42

Zhou, Xuesong, Jin Li, and Youjie M. "Chaos Phenomena in DC-DC Converter and Chaos Control." Procedia Engineering 29 (2012): 470–73. http://dx.doi.org/10.1016/j.proeng.2011.12.744.

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43

Yip, K. P., and N. H. Holstein-Rathlou. "Chaos and non-linear phenomena in renal vascular control." Cardiovascular Research 31, no. 3 (March 1, 1996): 359–70. http://dx.doi.org/10.1016/s0008-6363(95)00083-6.

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44

Urbančič, Tanja, Ivan Bratko, and Claude Sammut. "Learning Models of Control Skills: Phenomena, Results and Problems." IFAC Proceedings Volumes 29, no. 1 (June 1996): 5769–74. http://dx.doi.org/10.1016/s1474-6670(17)58602-4.

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45

Pinsky, Mark A., and Bill Essary. "Non-Smooth Control of Bifurcation Phenomena in Aircraft Flight." IFAC Proceedings Volumes 29, no. 1 (June 1996): 7582–87. http://dx.doi.org/10.1016/s1474-6670(17)58909-0.

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46

Azoum, K., M. Besbes, F. Bouillault, and T. Ueno. "Modeling of magnetostrictive phenomena. Application in magnetic force control." European Physical Journal Applied Physics 36, no. 1 (October 2006): 43–47. http://dx.doi.org/10.1051/epjap:2006102.

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47

Larson, Elaine, Elizabeth A. Bolyard, and David Vlahov. "The infection control practitioner as investigator of clinical phenomena." American Journal of Infection Control 15, no. 5 (October 1987): 215–20. http://dx.doi.org/10.1016/0196-6553(87)90099-x.

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48

Yip, K. "Chaos and non-linear phenomena in renal vascular control." Cardiovascular Research 31, no. 3 (March 1996): 359–70. http://dx.doi.org/10.1016/0008-6363(95)00083-6.

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49

Mane, Shreya. "Nozzle Flow Separation Phenomena and Control for different conditions." 3 1, no. 3 (December 1, 2022): 10–15. http://dx.doi.org/10.46632/jame/1/3/2.

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A detailed study of separated nozzle flows has been conducted. For a subscale, non-axisymmetric, two-dimensional, convergent divergent nozzle, schlieren flow visualization was acquired along with measurements of force, moment, and pressure as part of an extensive static performance evaluation. Additionally, two-dimensional numerical simulations were performed using the computational fluid dynamics package PAB3D together with algebraic Reynold’s stress modelling and two-equation turbulence closure. This study's experimental findings show that shock-induced boundary layer separation, which was classified into two distinct flow regimes: three-dimensional separation with partial reattachment and entirely detached two-dimensional separation, dominated off design over expanded nozzle flow. The impact of variable shock generation and reflections in various nozzle types on the two primary separation modes, namely Free and Restricted Shock Separation (FSS & RSS), is investigated. The flow separation problem in rocket nozzles has been an unwelcome phenomenon for engineers ever since the birth of the space era. Naturally, the engineers were given the job of bringing things under control. But it proved to be a difficult endeavor; despite the fact that many people were able to explain the physics underlying this occurrence, it is still not completely understood today.

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50

., Subhankar Dam. "DELAYED FEEDBACK CONTROL OF NONLINEAR PHENOMENA IN INDIRECT FIELD ORIENTED CONTROL OF INDUCTION MOTOR." International Journal of Research in Engineering and Technology 01, no. 04 (April 25, 2012): 624–27. http://dx.doi.org/10.15623/ijret.2012.0104013.

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