Non-uniform sampling in EPR – optimizing data acquisition for HYSCORE spectroscopy

2014 ◽  
Vol 16 (31) ◽  
pp. 16378-16382 ◽  
Author(s):  
K. K. Nakka ◽  
Y. A. Tesiram ◽  
I. M. Brereton ◽  
M. Mobli ◽  
J. R. Harmer
Keyword(s):  
Data Acquisition ◽  
Maximum Entropy ◽  
Uniform Sampling ◽  
Maximum Entropy Reconstruction ◽  
Order Of Magnitude ◽  
Non Uniform Sampling

Non-uniformly sampled HYSCORE data combined with maximum entropy reconstruction can shorten experimental times by approximately an order of magnitude.

Accelerated acquisition of high resolution triple-resonance spectra using non-uniform sampling and maximum entropy reconstruction

2004 ◽  
Vol 170 (1) ◽  
pp. 15-21 ◽  
Author(s):  
David Rovnyak ◽  
Dominique P. Frueh ◽  
Mallika Sastry ◽  
Zhen-Yu J. Sun ◽  
Alan S. Stern ◽  
...  
Keyword(s):  
High Resolution ◽  
Maximum Entropy ◽  
Triple Resonance ◽  
Uniform Sampling ◽  
Maximum Entropy Reconstruction ◽  
Non Uniform Sampling

scholarly journals Non-uniform sampling in pulse dipolar spectroscopy by EPR: the redistribution of noise and the optimization of data acquisition

2021 ◽  
Author(s):  
Anna G. Matveeva ◽  
Victoria N. Syryamina ◽  
Vyacheslav M. Nekrasov ◽  
Michael K. Bowman
Keyword(s):  
Data Acquisition ◽  
Spectroscopy Data ◽  
Distance Spectrum ◽  
Uniform Sampling ◽  
Increased Sensitivity ◽  
Non Uniform Sampling

Non-uniform schemes for collection of pulse dipole spectroscopy data can decrease and redistribute noise in the distance spectrum for increased sensitivity and throughput.

scholarly journals An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1262
Author(s):  
Sunil Kumar Mishra ◽  
Amitkumar V. Jha ◽  
Vijay Kumar Verma ◽  
Bhargav Appasani ◽  
Almoataz Y. Abdelaziz ◽  
...  
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control ◽  
Pendulum System ◽  
Uniform Sampling ◽  
Inverted Pendulum System ◽  
Event Triggering ◽  
Non Uniform Sampling ◽  
System States ◽  
Event Triggered

This paper presents an optimized algorithm for event-triggered control (ETC) of networked control systems (NCS). Initially, the traditional backstepping controller is designed for a generalized nonlinear plant in strict-feedback form that is subsequently extended to the ETC. In the NCS, the controller and the plant communicate with each other using a communication network. In order to minimize the bandwidth required, the number of samples to be sent over the communication channel should be reduced. This can be achieved using the non-uniform sampling of data. However, the implementation of non-uniform sampling without a proper event triggering rule might lead the closed-loop system towards instability. Therefore, an optimized event triggering algorithm has been designed such that the system states are always forced to remain in stable trajectory. Additionally, the effect of ETC on the stability of backstepping control has been analyzed using the Lyapunov stability theory. Two case studies on an inverted pendulum system and single-link robot system have been carried out to demonstrate the effectiveness of the proposed ETC in terms of system states, control effort and inter-event execution time.

Sign in / Sign up

Export Citation Format

Share Document