Dynamic physiological information recovery : a sampled-data filtering framework

2008 ◽  
Author(s):  
Shan Tong
Keyword(s):  
Sampled Data ◽  
Data Filtering ◽  
Information Recovery ◽  
Physiological Information

${\cal H}_2$ Sampled—Data Filtering of Linear Systems

2014 ◽  
Vol 62 (18) ◽  
pp. 4839-4846 ◽  
Author(s):  
Matheus Souza ◽  
Andre R. Fioravanti ◽  
Jose C. Geromel
Keyword(s):  
Linear Systems ◽  
Sampled Data ◽  
Data Filtering

Nonfragile Sampled-Data Filtering of Uncertain Fuzzy Systems With Time-Varying Delays

2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jinnan Luo ◽  
Xinzhi Liu ◽  
Wenhong Tian ◽  
Shouming Zhong ◽  
Kaibo Shi
Keyword(s):  
Fuzzy Systems ◽  
Time Varying ◽  
Sampled Data ◽  
Data Filtering

scholarly journals Schwartz' distributions in nonlinear setting: Applications to differential equations, filtering and optimal control

2002 ◽  
Vol 8 (4-5) ◽  
pp. 367-387 ◽  
Author(s):  
Y. Orlov
Keyword(s):  
Optimal Control ◽  
Nonlinear Systems ◽  
Differential Equations ◽  
Dynamic Systems ◽  
Generalized Solutions ◽  
Sampled Data ◽  
Data Filtering ◽  
Schwartz Distributions ◽  
Deterministic Dynamic ◽  
Feedback Synthesis

The paper is intended to be of tutorial value for Schwartz' distributions theory in nonlinear setting. Mathematical models are presented for nonlinear systems which admit both standard and impulsive inputs. These models are governed by differential equations in distributions whose meaning is generalized to involve nonlinear, non single-valued operating over distributions. The set of generalized solutions of these differential equations is defined via closure, in a certain topology, of the set of the conventional solutions corresponding to standard integrable inputs. The theory is exemplified by mechanical systems with impulsive phenomena, optimal impulsive feedback synthesis, sampled-data filtering of stochastic and deterministic dynamic systems.

Variance or spectral density in sampled data filtering?

2011 ◽  
Vol 52 (2) ◽  
pp. 335-351 ◽  
Author(s):  
Graham C. Goodwin ◽  
Juan I. Yuz ◽  
Mario E. Salgado ◽  
Juan C. Agüero
Keyword(s):  
Spectral Density ◽  
Sampled Data ◽  
Data Filtering
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