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Sampled-data-based dissipative control of T-S fuzzy systems
Applied Mathematical Modelling, 2019 This paper investigates the problem of sampled-data-based dissipative control of Takagi–Sugeno (T-S) fuzzy systems. The sampling period is assumed to be varying within an interval.
Yong He, Hong-Bing Zeng, Kok Lay Teo
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Sampling and sampled-data models
Proceedings of the 2010 American Control Conference, 2010Physical systems typically evolve continuously whereas modern controllers and signal processing devices invariably operate in discrete time. Hence sampling arises as a cornerstone problem in essentially all aspects of modern systems science. This paper reviews various aspects of sampling of signals and systems.
Graham C. Goodwin +3 more
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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
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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 +3 more sources
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.
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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.
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Invariance of sampled-data and adaptive sampled-data systems
IFAC Proceedings Volumes, 1963Summary In the report it is shown that the invariance conditions can be used successfully in usual continuous control systems and also in sampled- data control systems. This is especially important in adaptive impulse systems. In the first section of the report fundamentals of invariance theory of combined sampled-data systems are considered.
V.M. Kuntsevich, Yu. V. Krementulo
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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
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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
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2020
Think about a time when you heard someone talking in a different language. Maybe you listened to the voice tones or the volume or the flow of words. Maybe you almost started thinking you could hear a familiar word or two, only to realize not. Statistics can sometimes feel like you are listening to a different language.
Matt Wiley, Joshua F. Wiley
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Think about a time when you heard someone talking in a different language. Maybe you listened to the voice tones or the volume or the flow of words. Maybe you almost started thinking you could hear a familiar word or two, only to realize not. Statistics can sometimes feel like you are listening to a different language.
Matt Wiley, Joshua F. Wiley
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Data sampling and data recovery
Experiments in Fluids, 1991The sampling theorem states that a continuous signal can always be reconstructed from an equi-spaced set of samples of the signal, as long as the sampling rate has been chosen in accordance with the Nyquist criterion, thus allowing economical use of sampling rate and data storage.
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Providing Data Samples for Free
SSRN Electronic Journal, 2020We consider the problem of a seller of data who sells information to a buyer regarding an unknown (to both parties) state of the world. Traditionally, the literature explores one-round strategies for selling information because of the seller’s holdup problem: once a portion of the data set is released, the buyer’s estimate improves, and as a result ...
Kimon Drakopoulos, Ali Makhdoumi
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Data Collection and Data Sample
2009The seventh chapter illustrates the process of data collection and the data sample. Firstly, the data collection method is outlined. Then, the generation of the data sample and its characteristics are presented. Finally, the data sample is evaluated in terms of representativeness and possible sample biases.
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