Results 11 to 20 of about 32,846,944 (306)
Technical Note: Trend estimation from irregularly sampled, correlated data [PDF]
Estimation of a trend of an atmospheric state variable is usually performed by fitting a linear regression line to a set of data of this variable sampled at different times.
T. von Clarmann +4 more
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Input Synthesis for Sampled Data Systems by Program Logic [PDF]
Inspired by a concrete industry problem we consider the input synthesis problem for hybrid systems: given a hybrid system that is subject to input from outside (also called disturbance or noise), find an input sequence that steers the system to the ...
Takumi Akazaki +2 more
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Using MBPE technology can quickly predict the approximation of the frequency response of transmission lines' scattering field. However, equal interval sampling method is usually used in the calculation of transmission lines' scattering field, it results ...
Jia Shi, Bo Tang, Bin Hao, Jiawei Yang
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Sampled-Data Stabilization of Fractional Linear System under Arbitrary Sampling Periods
The sampled-data stabilization of a fractional continuous linear system under arbitrary sampling periods was first investigated in this paper wherein novel co-designed sampled-data controllers were constructed based on the compensation of scaling gains ...
Kecai Cao +3 more
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Stability of impulsive switched systems with sampled‐data control
This paper investigates the sampled‐data control of impulsive switched systems with asynchronous switching. The impulses are not required to synchronise the switching.
Jie Lian, Chunyang Li, Guisheng Zhai
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Stabilization of Boolean Control Networks Under Aperiodic Sampled-Data Control
Wing Cheong Daniel Ho, , Liangjie Sun
exaly +2 more sources
Gene regulatory network inference from sparsely sampled noisy data
Gene regulatory network inference is a topical problem in systems biology. Here, the authors presents BINGO, a powerful method for network inference from time series data.
Atte Aalto +4 more
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Assessing Classification Performance for Sampled Remote Sensing Data [PDF]
Big data poses challenges for storage, management, processing, analysis and visualisation. One technique of handling big data is the use of a representative sample of the data.
T. Rangongo +2 more
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Compact samples for data dissemination
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tova Milo, Assaf Sagi, Elad Verbin
openaire +1 more source
Asymptotic Effectiveness of the Event-Based Sampling According to the Integral Criterion
A rapid progress in intelligent sensing technology creates new interest in a development of analysis and design of non-conventional sampling schemes. The investigation of the event-based sampling according to the integral criterion is presented in this ...
Marek Miskowicz
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