Results 231 to 240 of about 32,846,944 (306)
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On sampling regional data

Data & Knowledge Engineering, 1997
Summary: The region quadtree is a very popular hierarchical data structure for the representation of binary images (regional data) and it is heavily used at the physical level of many spatial databases. Random sampling algorithms obtain approximate answers of aggregate queries on these databases efficiently.
Michael Vassilakopoulos   +1 more
openaire   +2 more sources

Finite-time stabilization of T-S fuzzy semi-Markov switching systems: A coupling memory sampled-data control approach

Journal of the Franklin Institute, 2020
The present draft investigates the finite-time stabilization of T–S fuzzy semi-Markov switching systems by using a coupling memory sampled-data control approach.
Jun Cheng   +4 more
semanticscholar   +1 more source

Sampled-Data Control for Connected Vehicles With Markovian Switching Topologies and Communication Delay

IEEE transactions on intelligent transportation systems (Print), 2020
This paper investigates a sampled-data control problem for connected vehicles subject to switching topologies, communication delays, and external disturbances.
Shixi Wen, G. Guo
semanticscholar   +1 more source

Seismic trace interpolation for irregularly spatial sampled data using convolutional autoencoder

, 2020
Seismic trace interpolation is an important technique because irregular or insufficient sampling data along the spatial direction may lead to inevitable errors in multiple suppression, imaging, and inversion.
Yingying Wang   +3 more
semanticscholar   +1 more source

Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme

Journal of the Franklin Institute, 2020
The work is concerned with the synchronization issue of complex dynamic networks subject to the semi-Markov process. The semi-Markov process is used to describe the switching among different modes of network topology.
Yu-An Liu   +4 more
semanticscholar   +1 more source

Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks

IEEE Transactions on Cybernetics, 2019
This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically.
Xianming Zhang   +3 more
semanticscholar   +1 more source

Further results on fuzzy sampled-data stabilization of chaotic nonlinear systems

Applied Mathematics and Computation, 2020
This work focuses on addressing the sampled-data stabilization problem for chaotic nonlinear systems, where the Takagi-Sugeno (T-S) fuzzy model is employed to dispose of the nonlinearity in the system as well as the controller.
Yude Xia   +3 more
semanticscholar   +1 more source

Sampling for big data

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014
One response to the proliferation of large datasets has been to develop ingenious ways to throw resources at the problem, using massive fault tolerant storage architectures, parallel and graphical computation models such as MapReduce, Pregel and Giraph. However, not all environments can support this scale of resources, and not all queries need an exact
Graham Cormode, Nick G. Duffield
openaire   +1 more source

Sampled-Data Systems

2014
For digital devices to interact with the physical world, an interface is needed that transforms the signals from analog to digital and vice versa. Ideal samplers and zero-order hold devices are incorporated to derive discrete-time models of continuous-time systems. State variable descriptions and transfer functions are used.
Antsaklis, P., Trentelman, H. L.
openaire   +2 more sources

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