Academic literature on the topic 'Spatio-temporal control'

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Journal articles on the topic "Spatio-temporal control"

1

KINUGAWA, Takuma, and Toshimitsu USHIO. "Finite-Horizon Optimal Spatio-Temporal Pattern Control under Spatio-Temporal Logic Specifications." IEICE Transactions on Information and Systems E105.D, no. 10 (2022): 1658–64. http://dx.doi.org/10.1587/transinf.2021fop0003.

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Smolyaninov, Vladimir V. "Spatio-temporal problems of locomotion control." Physics-Uspekhi 43, no. 10 (2000): 991–1053. http://dx.doi.org/10.1070/pu2000v043n10abeh000796.

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Smolyaninov, Vladimir V. "Spatio-temporal problems of locomotion control." Uspekhi Fizicheskih Nauk 170, no. 10 (2000): 1063. http://dx.doi.org/10.3367/ufnr.0170.200010b.1063.

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4

Boutselis, George I., Ethan N. Evans, Marcus A. Pereira, and Evangelos A. Theodorou. "Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems." Entropy 23, no. 8 (2021): 941. http://dx.doi.org/10.3390/e23080941.

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Stochastic spatio-temporal processes are prevalent across domains ranging from the modeling of plasma, turbulence in fluids to the wave function of quantum systems. This letter studies a measure-theoretic description of such systems by describing them as evolutionary processes on Hilbert spaces, and in doing so, derives a framework for spatio-temporal manipulation from fundamental thermodynamic principles. This approach yields a variational optimization framework for controlling stochastic fields. The resulting scheme is applicable to a wide class of spatio-temporal processes and can be used for optimizing parameterized control policies. Our simulated experiments explore the application of two forms of this approach on four stochastic spatio-temporal processes, with results that suggest new perspectives and directions for studying stochastic control problems for spatio-temporal systems.
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Diebner, Hans H., Axel A. Hoff, Adolf Mathias, Horst Prehn, Marco Rohrbach, and Sven Sahle. "Control and Adaptation of Spatio-temporal Patterns." Zeitschrift für Naturforschung A 56, no. 9-10 (2001): 663–69. http://dx.doi.org/10.1515/zna-2001-0910.

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Abstract We apply a recently introduced cognitive system for dynamics recognition to a two-dimensional array of coupled oscillators. The cognitive system allows for both the control and the adaptation of spatio-temporal patterns of that array of oscillators. One array that shows Turing-pattems in a self-organizational manner is viewed as an externally presented dynamics (stimulus) which is mapped onto a mirror dynamics, whereby the latter is capable to simulate (simulus). Two of the parameters of the stimulus are thereby regarded to be unknown and have to be estimated by the cognitive system. The cognitive system itself consists of dynamical modules that are stimulated by the external dynamics in the sense of Pyragas' external force control mechanism and thereby yield measures of how good they match the stimulus. These measures are used as weights to construct the simulus. The adaptation process is performed "on the fly", i. e., without the storage of data. The proposed cognitive system, therefore, is a prominent candidate for the construction of a control device for a permanent real time observation of an external dynamical system in order to interfere instantaneously when necessary.
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Lu, Xu, Cong Tian, Zhenhua Duan, and Hongwei Du. "Planning with Spatio-Temporal Search Control Knowledge." IEEE Transactions on Knowledge and Data Engineering 30, no. 10 (2018): 1915–28. http://dx.doi.org/10.1109/tkde.2018.2810144.

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Salamon, Nestor Z., Markus Billeter, and Elmar Eisemann. "ShutterApp: Spatio‐temporal Exposure Control for Videos." Computer Graphics Forum 38, no. 7 (2019): 675–83. http://dx.doi.org/10.1111/cgf.13870.

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Gudmundsson, Joachim, Jyrki Katajainen, Damian Merrick, Cahya Ong, and Thomas Wolle. "Compressing spatio-temporal trajectories." Computational Geometry 42, no. 9 (2009): 825–41. http://dx.doi.org/10.1016/j.comgeo.2009.02.002.

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9

Hayashi, Yuichiro. "Spatio-temporal control of neural activity using optogenetics." Neuroscience Research 68 (January 2010): e327. http://dx.doi.org/10.1016/j.neures.2010.07.1450.

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10

Hayashi, Yuichiro. "Spatio-temporal control of neural activity using microendoscopy." Neuroscience Research 71 (September 2011): e312. http://dx.doi.org/10.1016/j.neures.2011.07.1361.

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