Journal articles: 'Spatial control'

1

Weiner, Andrew M. "Spatial coherent control." Nature Photonics 7, no. 1 (December 27, 2012): 6–8. http://dx.doi.org/10.1038/nphoton.2012.334.

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Jordan, J. Scott, and Günther Knoblich. "Spatial perception and control." Psychonomic Bulletin & Review 11, no. 1 (February 2004): 54–59. http://dx.doi.org/10.3758/bf03206460.

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Spiliotis, Elias T., and W. James Nelson. "Spatial control of exocytosis." Current Opinion in Cell Biology 15, no. 4 (August 2003): 430–37. http://dx.doi.org/10.1016/s0955-0674(03)00074-7.

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Rojas, Juan David, and Rubén Darío Guevara Gonzalez. "Spatial MCUSUM Control Chart." Revista Colombiana de Estadística 43, no. 1 (January 1, 2020): 49–70. http://dx.doi.org/10.15446/rce.v43n1.78748.

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This paper proposes a spatial multivariate CUSUM control chart in order to monitor the mean of a single characteristic of a product or process, when the measurements are taken in different locations on each sampled item. To estimate the variance and covariance matrix some tools from the geostatistics are used, taking into account the spatial correlation between the measurements. The performance of this control chart is explored by simulation and its use is illustrated with an example.

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Sapaty, P. S. "Symbiosis of Distributed Simulation and Control under Spatial Grasp Technology." Mathematical machines and systems 3 (2020): 23–48. http://dx.doi.org/10.34121/1028-9763-2020-3-23-48.

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We are witnessing rapidly growing world dynamics caused by climate change, military, religious and ethnic conflicts, terrorism, refugee flows and weapons proliferation, political and industrial restructuring too. Dealing with frequently emerging crises may need rapid integration of scattered heterogeneous resources into capable operational forces pursuing goals which may not be known in advance. Proper understanding and managing of unpredictable and crisis situations may need their detailed simulation at runtime and even ahead of it. The current paper aims at deep integration, actually symbiosis, of advanced simulation with live system control and management, which can be effectively organized in nationwide and world scale. It will be presenting the latest version of Spatial Grasp Technology (SGT) which is not based on traditional communicating parts or agents, as usual, but rather using self-spreading, self-replicating, and self-modifying higher-level code covering and matching distributed systems at runtime while providing global integrity, goal-orientation, and finding effective solutions. These spatial solutions are often hundreds of times shorter and simpler than with other approaches due to special recursive scenario language hiding traditional system management routines inside its parallel and distributed interpretation. The paper provides basics for deep integration, actually symbiosis, of different worlds allowing us to unite advanced distributed simulation with spatial parallel and fully distributed control, while doing all this within the same high-level and very simple Spatial Grasp formalism and its basic Spatial Grasp Language (SGL). It will also mention various SGT applications including economy, ecology, space research & conquest and security, where effective symbiosis of distributed interactive simulation with live control and management may provide a real breakthrough. SGL can be quickly implemented even within standard university environments by a group of system programmers, similar to its previous versions in different countries under the author’s supervision. The technology can be installed in numerous copies worldwide and deeply integrated with any other systems, actually acquiring unlimited power throughout the world.

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Burke, S. E., and J. E. Hubbard. "Spatial Filtering Concepts in Distributed Parameter Control." Journal of Dynamic Systems, Measurement, and Control 112, no. 4 (December 1, 1990): 565–73. http://dx.doi.org/10.1115/1.2896181.

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A new method of analyzing distributed parameter control systems is presented, based upon their input/output representation in a spatially and temporally transformed frequency space. The classes of distributed systems amenable to the analysis are described in terms of their Green’s functions. The plants’ input/output relations are studied in the transformed space using the singular value decomposition to determine the system’s spatial performance. Performance is quantified in terms of generalized command following, disturbance rejection, noise rejection, controllability, and observability over spatial and temporal bandwidths, with suitable design measures presented. The analysis provides insight into the performance of sensor and actuator distributions in achieving spatial frequency performance specifications, determines spatial regimes where the response is directional, and quantifies sensor and actuator placement with respect to limitations of system and transducer spatial modelling. The analysis is shown to be applicable to discrete as well as distributed sensors and actuators, and utilizes commonly available numerical analysis techniques. An example problem is considered.

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Meyyappan, Sreenivasan, Abhijit Rajan, Jesse Bengson, George Mangun, and Mingzhou Ding. "Decoding visual spatial attention control." Journal of Vision 20, no. 11 (October 20, 2020): 156. http://dx.doi.org/10.1167/jov.20.11.156.

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Zou, X., H. Y. Xu, K. Shi, and X. B. Fang. "Optimal Spatial Camera Orientation Control." Journal of Physics: Conference Series 1682 (November 2020): 012035. http://dx.doi.org/10.1088/1742-6596/1682/1/012035.

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Cliff, A. D., and P. Haggett. "Spatial aspects of epidemic control." Progress in Human Geography 13, no. 3 (September 1989): 315–47. http://dx.doi.org/10.1177/030913258901300301.

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Preumont, A., A. François, P. De Man, and V. Piefort. "Spatial filters in structural control." Journal of Sound and Vibration 265, no. 1 (July 2003): 61–79. http://dx.doi.org/10.1016/s0022-460x(02)01440-2.

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11

Goldberg, Michael E., and Carol L. Colby. "Oculomotor control and spatial processing." Current Biology 2, no. 4 (April 1992): 199. http://dx.doi.org/10.1016/0960-9822(92)90531-e.

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Koh, John. "Spatial Control of Protein Synthesis." Chemistry & Biology 12, no. 6 (June 2005): 613–14. http://dx.doi.org/10.1016/j.chembiol.2005.06.006.

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Reuter-Lorenz, Patricia A., Marcel Kinsbourne, and Morris Moscovitch. "Hemispheric control of spatial attention." Brain and Cognition 12, no. 2 (March 1990): 240–66. http://dx.doi.org/10.1016/0278-2626(90)90018-j.

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14

Vinson, V. "Spatial control of cellular enzymes." Science 351, no. 6274 (February 11, 2016): 676–78. http://dx.doi.org/10.1126/science.351.6274.676-r.

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15

Zhu, Jinlong, and Lynford L. Goddard. "Spatial control of photonic nanojets." Optics Express 24, no. 26 (December 23, 2016): 30444. http://dx.doi.org/10.1364/oe.24.030444.

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Goldberg, Michael E., and Carol L. Colby. "Oculomotor control and spatial processing." Current Opinion in Neurobiology 2, no. 2 (April 1992): 198–202. http://dx.doi.org/10.1016/0959-4388(92)90012-a.

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17

Yoshinaka, Susumu, and Kenichi Kawaguchi. "Vibration Control of Spatial Structures using Spatially Dispersed Arranged TMDs." Proceedings of the Symposium on the Motion and Vibration Control 2003.8 (2003): 363–67. http://dx.doi.org/10.1299/jsmemovic.2003.8.363.

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Moore, Kevin L., Mohua Ghosh, and Yang Quan Chen. "Spatial-based iterative learning control for motion control applications." Meccanica 42, no. 2 (February 14, 2007): 167–75. http://dx.doi.org/10.1007/s11012-006-9035-5.

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19

Khalifa, W., S. Elnaggar, and M. Ghazy. "PID Control Versus Fuzzy Control for Spatial-Link Manipulator." Egyptian Journal for Engineering Sciences and Technology 24, no. 1 (February 1, 2018): 40–47. http://dx.doi.org/10.21608/eijest.2018.97228.

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20

Hahne, J. M., B. Graimann, and Klaus-Robert Muller. "Spatial Filtering for Robust Myoelectric Control." IEEE Transactions on Biomedical Engineering 59, no. 5 (May 2012): 1436–43. http://dx.doi.org/10.1109/tbme.2012.2188799.

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21

Moraru, Ion I., and Leslie M. Loew. "Intracellular Signaling: Spatial and Temporal Control." Physiology 20, no. 3 (June 2005): 169–79. http://dx.doi.org/10.1152/physiol.00052.2004.

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Cells integrate many inputs through complex networks of interacting signaling pathways. Systems approaches as well as computer-aided reductionist approaches attempt to “untangle the wires” and gain an intimate understanding of cells. But “understanding” any system is just the way that the human mind gains the ability to predict behavior. Computer simulations are an alternative way to achieve this goal—quite possibly the only way for complex systems. We have new tools to probe large sets of unknown interactions, and we have amassed enough detailed information to quantitatively describe many functional modules. Cell physiology has passed the threshold: the time to begin modeling is now.

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22

Burleigh, M. R., C. R. Richey, S. A. Rinehart, M. A. Quijada, and E. J. Wollack. "Spectrometer baseline control via spatial filtering." Applied Optics 55, no. 29 (October 4, 2016): 8201. http://dx.doi.org/10.1364/ao.55.008201.

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23

Caño-Delgado, Ana I., and Miguel A. Blázquez. "Spatial control of plant steroid signaling." Trends in Plant Science 18, no. 5 (May 2013): 235–36. http://dx.doi.org/10.1016/j.tplants.2013.01.005.

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24

Fargas-Marquès, Andreu, Ramon Costa-Castelló, and Luis Basañez. "Spatial Impedance Control in Coordinated Manipulation." IFAC Proceedings Volumes 33, no. 27 (September 2000): 231–36. http://dx.doi.org/10.1016/s1474-6670(17)37934-x.

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25

Medendorp, W. Pieter. "Spatial constancy mechanisms in motor control." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1564 (February 27, 2011): 476–91. http://dx.doi.org/10.1098/rstb.2010.0089.

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The success of the human species in interacting with the environment depends on the ability to maintain spatial stability despite the continuous changes in sensory and motor inputs owing to movements of eyes, head and body. In this paper, I will review recent advances in the understanding of how the brain deals with the dynamic flow of sensory and motor information in order to maintain spatial constancy of movement goals. The first part summarizes studies in the saccadic system, showing that spatial constancy is governed by a dynamic feed-forward process, by gaze-centred remapping of target representations in anticipation of and across eye movements. The subsequent sections relate to other oculomotor behaviour, such as eye–head gaze shifts, smooth pursuit and vergence eye movements, and their implications for feed-forward mechanisms for spatial constancy. Work that studied the geometric complexities in spatial constancy and saccadic guidance across head and body movements, distinguishing between self-generated and passively induced motion, indicates that both feed-forward and sensory feedback processing play a role in spatial updating of movement goals. The paper ends with a discussion of the behavioural mechanisms of spatial constancy for arm motor control and their physiological implications for the brain. Taken together, the emerging picture is that the brain computes an evolving representation of three-dimensional action space, whose internal metric is updated in a nonlinear way, by optimally integrating noisy and ambiguous afferent and efferent signals.

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26

Beckerle, Mary C. "Spatial Control of Actin Filament Assembly." Cell 95, no. 6 (December 1998): 741–48. http://dx.doi.org/10.1016/s0092-8674(00)81697-9.

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27

Ito, Yoko, Matthew Hoare, and Masashi Narita. "Spatial and Temporal Control of Senescence." Trends in Cell Biology 27, no. 11 (November 2017): 820–32. http://dx.doi.org/10.1016/j.tcb.2017.07.004.

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28

Epanchin-Niell, Rebecca S., and James E. Wilen. "Optimal spatial control of biological invasions." Journal of Environmental Economics and Management 63, no. 2 (March 2012): 260–70. http://dx.doi.org/10.1016/j.jeem.2011.10.003.

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29

Gjonaj, Bergin, Jochen Aulbach, Patrick M. Johnson, Allard P. Mosk, L. Kuipers, and Ad Lagendijk. "Active spatial control of plasmonic fields." Nature Photonics 5, no. 6 (May 22, 2011): 360–63. http://dx.doi.org/10.1038/nphoton.2011.57.

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30

Grimshaw, Scott D., Natalie J. Blades, and Michael P. Miles. "Spatial Control Charts for the Mean." Journal of Quality Technology 45, no. 2 (April 2013): 130–48. http://dx.doi.org/10.1080/00224065.2013.11917922.

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31

Lješnjanin, Merid, Ying Tan, Denny Oetomo, and Christopher T. Freeman. "Spatial Iterative Learning Control: Output Tracking." IFAC-PapersOnLine 50, no. 1 (July 2017): 1977–82. http://dx.doi.org/10.1016/j.ifacol.2017.08.166.

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32

Kircali, Omer Faruk, Yavuz Yaman, Volkan Nalbantoglu, Melin Sahin, Fatih Mutlu Karadal, and Fatma Demet Ulker. "Spatial control of a smart beam." Journal of Electroceramics 20, no. 3-4 (May 4, 2007): 175–85. http://dx.doi.org/10.1007/s10832-007-9131-5.

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33

Boardman, A. D., and K. Xie. "Magnetic Control of Optical Spatial Solitons." Physical Review Letters 75, no. 25 (December 18, 1995): 4591–94. http://dx.doi.org/10.1103/physrevlett.75.4591.

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34

Xiao, Zeyun, Chao Chen, Emma Ruth Lucille Brisson, Joe Collins, Wei Sung Ng, and Luke A. Connal. "Spatial control of flocculation via light." Journal of Polymer Science Part A: Polymer Chemistry 54, no. 21 (August 10, 2016): 3407–10. http://dx.doi.org/10.1002/pola.28242.

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35

Taylor, L. R., and H. Schone. "Spatial Orientation: The Spatial Control of Behaviour in Animals and Man." Journal of Animal Ecology 54, no. 3 (October 1985): 1034. http://dx.doi.org/10.2307/4405.

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36

Rosas, E., V. Aboites, and M. J. Damzen. "Fundamental spatial mode size control of holographic laser oscillators." Journal of Optics 29, no. 6 (December 1998): 370–75. http://dx.doi.org/10.1088/0150-536x/29/6/007.

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37

Macaluso, E., M. Eimer, C. D. Frith, and J. Driver. "Preparatory states in crossmodal spatial attention: spatial specificity and possible control mechanisms." Experimental Brain Research 149, no. 1 (January 9, 2003): 62–74. http://dx.doi.org/10.1007/s00221-002-1335-y.

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38

Shang, Yanfen, Tao Li, Lisha Song, and Zhiqiong Wang. "Control charts for monitoring two-dimensional spatial count data with spatial correlations." Computers & Industrial Engineering 137 (November 2019): 106043. http://dx.doi.org/10.1016/j.cie.2019.106043.

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39

Fetzer, Karl L., Sergey G. Nersesov, and Hashem Ashrafiuon. "Trajectory tracking control of spatial underactuated vehicles." International Journal of Robust and Nonlinear Control 31, no. 10 (March 27, 2021): 4897–916. http://dx.doi.org/10.1002/rnc.5509.

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40

SUPRAPTI, Atiek, Nurdien H. KISTANTO, Edward E. PANDELAKI, and Djoko INDROSAPTONO. "CONTROL OF SPATIAL PROTECTION IN KAUMAN SEMARANG." JOURNAL OF ARCHITECTURE AND URBANISM 41, no. 4 (December 26, 2017): 268–77. http://dx.doi.org/10.3846/20297955.2017.1402717.

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Locality and cultural identity aspects are very important to create humane cities in the midst of globalizing world. Kauman Semarang is the city’s cultural identity which has lasted for more than three centuries. Traditionally, Kauman is a village in downtown which reflects Moslem daily live. The physical and social characteristicschange are the reaction of modernization-capitalization pressure of the downtown. The purpose of the research is to find out how Kauman adapts to the incoming pressures. The research was based on ethnographic method by combining ideographic and architectural approaches. In the end of the research, it found that there is a spatial control having protective characteristic or a control of spatial protection conducted by the community. Socioreligious values have influenced in strengthening socio-religious space that produces immaterial products associated with the community’s mentality. Meanwhile, the modernization-capitalization pressures influence the form of significantly developed business-commercial space, and their products are eventually used to support the socio-religious activities. Spatial protection strategy is an answer for the problem of modernization-capitalization pressures in downtown. This finding could be a useful input for the preservation efforts at Kauman Semarang particularly and for cities having similar problems generally.

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41

Afonso, Olga, Irina Matos, and Helder Maiato. "Spatial control of the anaphase-telophase transition." Cell Cycle 13, no. 19 (October 2014): 2985–86. http://dx.doi.org/10.4161/15384101.2014.959853.

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42

Lu, Yao, Wenguang Liu, Zilun Chen, Man Jiang, Qiong Zhou, Jiangbin Zhang, Changjin Li, Junyu Chai, and Zongfu Jiang. "Spatial mode control based on photonic lanterns." Optics Express 29, no. 25 (December 1, 2021): 41788. http://dx.doi.org/10.1364/oe.440326.

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43

Myers, John C., Lisa K. Chinn, Sandeepa Sur, and Edward J. Golob. "Widespread theta coherence during spatial cognitive control." Neuropsychologia 160 (September 2021): 107979. http://dx.doi.org/10.1016/j.neuropsychologia.2021.107979.

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44

Alberti, Simon. "Molecular mechanisms of spatial protein quality control." Prion 6, no. 5 (November 2012): 437–42. http://dx.doi.org/10.4161/pri.22470.

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45

Rothfield, Lawrence, Aziz Taghbalout, and Yu-Ling Shih. "Spatial control of bacterial division-site placement." Nature Reviews Microbiology 3, no. 12 (December 2005): 959–68. http://dx.doi.org/10.1038/nrmicro1290.

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46

Aubert, Sidonie, Marine Bezagu, Alan C. Spivey, and Stellios Arseniyadis. "Spatial and temporal control of chemical processes." Nature Reviews Chemistry 3, no. 12 (October 24, 2019): 706–22. http://dx.doi.org/10.1038/s41570-019-0139-6.

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47

Malhotra, Shavin, and Ajai S. Gaur. "Spatial geography and control in foreign acquisitions." Journal of International Business Studies 45, no. 2 (September 26, 2013): 191–210. http://dx.doi.org/10.1057/jibs.2013.50.

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48

Chacón, Ricardo. "Optimal control of ratchets without spatial asymmetry." Journal of Physics A: Mathematical and Theoretical 40, no. 22 (May 14, 2007): F413—F419. http://dx.doi.org/10.1088/1751-8113/40/22/f01.

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49

Vartak, Nachiket, and Philippe Bastiaens. "Spatial cycles in G-protein crowd control." EMBO Journal 29, no. 16 (August 18, 2010): 2689–99. http://dx.doi.org/10.1038/emboj.2010.184.

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50

Barber, Gerald M. "Book Review: Optimal Control of Spatial Systems." Progress in Human Geography 10, no. 2 (June 1986): 298–300. http://dx.doi.org/10.1177/030913258601000215.

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Journal articles on the topic 'Spatial control'

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