Non-invasive detection of cardiac and respiratory rates from stepped frequency continuous wave radar measurements using the state space method

2015 ◽  
Author(s):  
Lingyun Ren ◽  
Haofei Wang ◽  
Krishna Naishadham ◽  
Quanhua Liu ◽  
Aly E. Fathy
Keyword(s):  
State Space ◽  
Continuous Wave ◽  
The State ◽  
State Space Method ◽  
Non Invasive ◽  
Wave Radar ◽  
Radar Measurements ◽  
Stepped Frequency ◽  
Space Method

A State Space Method for Optimal Design of Vibration Isolators

1979 ◽  
Vol 101 (2) ◽  
pp. 309-314 ◽  
Author(s):  
M. H. Hsiao ◽  
E. J. Haug ◽  
J. S. Arora
Keyword(s):  
Nonlinear Programming ◽  
Optimal Design ◽  
State Space ◽  
The State ◽  
Programming Approach ◽  
Time Interval ◽  
Numerical Comparison ◽  
State Space Method ◽  
Continuous State ◽  
Space Method

A state space method of optimal design of dynamic systems subjected to transient loads is developed and applied. In contrast to the conventional nonlinear programming approach of discretizing the time interval and constructing a high dimension nonlinear programming problem, a state space approach is employed which develops the sensitivity analysis and optimization algorithm in continuous state space, resorting to discretization only for efficient numerical integration of differential equations. A numerical comparison of the state space and conventional nonlinear programming methods is carried out for two test problems, in which the state space method requires only one-tenth the computing time reported for the nonlinear programming approach.

scholarly journals METODE STATE SPACE DALAM MERAMALKAN JUMLAH PENUMPANG KERETA API DI PULAU JAWA

2020 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
FITRI ANANDA DITA SARASWITA ◽  
I WAYAN SUMARJAYA ◽  
LUH PUTU IDA HARINI
Keyword(s):  
State Space ◽  
Time Series Data ◽  
Local Level ◽  
State Space Model ◽  
The State ◽  
Series Data ◽  
State Space Method ◽  
Dynamic Interactions ◽  
Level Model ◽  
Space Method

State space is an approach to model and predict together several time series data that are interconnected, and these variables have dynamic interactions. The purpose of this research is to model the number of train passengers in Java and find out the forecasting results using the state space method. The algorithm used to solve the state space model is the Kalman filter. In this research, a suitable final model is local level model with seasonal and produces MAPE value of 2%, this shows that the state space method is very accurately.

Mathematical Modeling of the Membrane Concentration of Whey by the State Space Method

2020 ◽  
Vol 13 (4) ◽  
pp. 275
Author(s):  
Boris Lobasenko ◽  
Dmitry Borodulin ◽  
Roman Kotlyarov ◽  
Yana Golovacheva ◽  
Igor Bakin
Keyword(s):  
Mathematical Modeling ◽  
State Space ◽  
The State ◽  
State Space Method ◽  
Space Method ◽  
Membrane Concentration
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