Results 21 to 30 of about 852,027 (161)
TIME-VARIANT MODEL OF HEAT-AND-MASS EXCHANGE FOR STEAM HUMIDIFIER
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2020 The dynamical model of heat-mass exchange for a steam humidifier with lumped parameters, which can be used for synthesis of control systems by inflowing-exhaust ventilation installations, or industrial complexes of artificial microclimate, is considered.
Igor Golinko, Volodymyr Drevetskiy
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Hover flight control of helicopter using optimal control theory [PDF]
INCAS Bulletin, 2015 This paper represents the optimal control theory and its application to the full scale helicopters. Generally the control of a helicopter is a hard task, because its system is very nonlinear, coupled and sensitive to the control inputs and external ...
Ahmed ABOULFTOUH +2 more
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State‐space models for optical imaging [PDF]
Statistics in Medicine, 2007 AbstractMeasurement of stimulus‐induced changes in activity in the brain is critical to the advancement of neuroscience. Scientists use a range of methods, including electrode implantation, surface (scalp) electrode placement, and optical imaging of intrinsic signals, to gather data capturing underlying signals of interest in the brain.
Kary L, Myers +2 more
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Bellman Filtering for State-Space Models [PDF]
SSRN Electronic Journal, 2020 This article presents a filter for state-space models based on Bellman's dynamic programming principle applied to the mode estimator. The proposed Bellman filter generalises the Kalman filter including its extended and iterated versions, while remaining equally inexpensive computationally.
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Parameter and State Estimator for State Space Models [PDF]
The Scientific World Journal, 2014 This paper proposes a parameter and state estimator for canonical state space systems from measured input-output data. The key is to solve the system state from the state equation and to substitute it into the output equation, eliminating the state variables, and the resulting equation contains only the system inputs and outputs, and to derive a least ...
Ruifeng Ding, Linfan Zhuang
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On the State-Space Model of Unawareness
, 2023 working paper, please reference this version in further ...
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A Meson Binding State Model in Two-Dimensional Space
ParticlesIn this paper, we first show that the four masses of the Upsilon binding states—namely, Y(1S) through Y(4S)—composed of bottom quarks and anti-bottom quarks follow logarithmic spacing. The correlation coefficient R between the experimental values and the
Yasushi Muraki, Shoichi Shibata
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Posterior Analysis of State Space Model with Spherical Symmetricity
Journal of Probability and Statistics, 2015 The present work investigates state space model with nonnormal disturbances when the deviation from normality has been observed only with respect to kurtosis and the distribution of disturbances continues to follow a symmetric family of distributions ...
Ranjita Pandey
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TrackingMamba: Visual State Space Model for Object Tracking
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, UAV object tracking has provided technical support across various fields. Most existing work relies on convolutional neural networks (CNNs) or visual transformers.
Qingwang Wang +6 more
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The Illusion of State in State-Space Models
CoRRState-space models (SSMs) have emerged as a potential alternative architecture for building large language models (LLMs) compared to the previously ubiquitous transformer architecture. One theoretical weakness of transformers is that they cannot express certain kinds of sequential computation and state tracking (Merrill & Sabharwal, 2023), which ...
William Merrill +2 more
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