Results 11 to 20 of about 24,174,970 (287)
Sampled-data filtering with error covariance assignment [PDF]
Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Huang, B, Wang, Z, Huo, P
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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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In this article, we investigate the problem of sampled-data robust output feedback control for a class of nonlinear uncertain systems with time-varying disturbance and measurement delay based on continuous-discrete observer.
Jun Yang (4410343) +3 more
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Sampled-data fuzzy controller for continuous nonlinear systems
The sampled-data fuzzy control of nonlinear systems is presented. The consequents of the fuzzy controller rules are linear sampled-data sub-controllers. As a result, the fuzzy controller is a weighted sum of some linear sampled-data sub-controllers that ...
Bingo Wing-Kuen Ling (14869390) +1 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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Approximate reasoning from sampled data [PDF]
The subject of this paper is a mathematical framework that provides a basis and a tool for reasoning about uncertainty based on linguistic information.
Janjić Mladen +3 more
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Techniques for flow inversion on sampled data [PDF]
The distribution of flow sizes is a quantity of interest fundamental to traffic engineering and network modelling and only likely to become more important in the future.
Richard G. Clegg +14 more
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Best Probability Density Function for Random Sampled Data
The maximum entropy method is a theoretically sound approach to construct an analytical form for the probability density function (pdf) given a sample of random events.
Donald J. Jacobs
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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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Compact samples for data dissemination
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tova Milo, Assaf Sagi, Elad Verbin
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