Nonlinear error signal extraction technique for real-time digital automatic control of optical interferometers

1995 ◽  
Author(s):  
Fabrizio Barone ◽  
Enrico Calloni ◽  
Luciano DiFiore ◽  
Aniello Grado ◽  
Leopoldo Milano ◽  
...  
Keyword(s):  
Automatic Control ◽  
Real Time ◽  
Signal Extraction ◽  
Extraction Technique ◽  
Error Signal ◽  
Nonlinear Error ◽  
Optical Interferometers

Digital error-signal extraction technique for real-time automatic control of optical interferometers

1995 ◽  
Vol 34 (35) ◽  
pp. 8100 ◽  
Author(s):  
F. Barone ◽  
E. Calloni ◽  
L. Di Fiore ◽  
A. Grado ◽  
L. Milano ◽  
...  
Keyword(s):  
Automatic Control ◽  
Real Time ◽  
Signal Extraction ◽  
Extraction Technique ◽  
Error Signal ◽  
Optical Interferometers

A non-linear error signal extraction technique for length control of a Fabry-Perot cavity

1999 ◽  
Vol 161 (4-6) ◽  
pp. 287-296
Author(s):  
E. Calloni ◽  
L. Di Fiore ◽  
A. Grado ◽  
L. Milano
Keyword(s):  
Signal Extraction ◽  
Extraction Technique ◽  
Error Signal ◽  
Fabry Perot ◽  
Non Linear

scholarly journals Circulant Singular Spectrum Analysis to Monitor the State of the Economy in Real Time

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1169
Author(s):  
Juan Bógalo ◽  
Pilar Poncela ◽  
Eva Senra
Keyword(s):  
Business Cycles ◽  
Real Time ◽  
Parametric Method ◽  
Singular Spectrum Analysis ◽  
The State ◽  
Signal Extraction ◽  
Alternative Procedure ◽  
State Of The Economy ◽  
Regular Patterns ◽  
Non Parametric

Real-time monitoring of the economy is based on activity indicators that show regular patterns such as trends, seasonality and business cycles. However, parametric and non-parametric methods for signal extraction produce revisions at the end of the sample, and the arrival of new data makes it difficult to assess the state of the economy. In this paper, we compare two signal extraction procedures: Circulant Singular Spectral Analysis, CiSSA, a non-parametric technique in which we can extract components associated with desired frequencies, and a parametric method based on ARIMA modelling. Through a set of simulations, we show that the magnitude of the revisions produced by CiSSA converges to zero quicker, and it is smaller than that of the alternative procedure.

scholarly journals Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging

2020 ◽  
Vol 14 ◽  
Author(s):  
Yaesop Lee ◽  
Jing Xie ◽  
Eungjoo Lee ◽  
Srijesh Sudarsanan ◽  
Da-Ting Lin ◽  
...  
Keyword(s):  
Real Time ◽  
Calcium Imaging ◽  
Signal Extraction ◽  
Neural Signal

Real-time digital control of optical interferometers by the mechanical-modulation technique

1994 ◽  
Vol 33 (34) ◽  
pp. 7846 ◽  
Author(s):  
Fabrizio Barone ◽  
Rosario De Rosa ◽  
Luciano Di Fiore ◽  
Francesco Fusco ◽  
Aniello Grado ◽  
...  
Keyword(s):  
Real Time ◽  
Digital Control ◽  
Modulation Technique ◽  
Optical Interferometers ◽  
Mechanical Modulation

Automatic Control Systems Programming Using a Real Time Declarative Language

1986 ◽  
Vol 19 (6) ◽  
pp. 89-93 ◽  
Author(s):  
J.L. Bergerand ◽  
P. Caspi ◽  
N. Halbwachs ◽  
J.A. Plaice
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Real Time ◽  
Declarative Language ◽  
Automatic Control Systems ◽  
Systems Programming

scholarly journals Highly-stable frequency transfer via fiber link with improved electrical error signal extraction and compensation scheme

2015 ◽  
Vol 23 (7) ◽  
pp. 8829 ◽  
Author(s):  
Jianye Zhao ◽  
Dawei Li ◽  
Bo Ning ◽  
Shuangyou Zhang ◽  
Wei Duan
Keyword(s):  
Signal Extraction ◽  
Error Signal ◽  
Compensation Scheme ◽  
Stable Frequency ◽  
Fiber Link ◽  
Frequency Transfer

A Sensing Chair

1999 ◽  
Author(s):  
Hong Z. Tan
Keyword(s):  
Automatic Control ◽  
Real Time ◽  
Classification System ◽  
Tracking System ◽  
Pressure Sensors ◽  
Sensory Systems ◽  
Human Computer Interactions ◽  
Sitting Posture ◽  
Haptic Sensing ◽  
Posture Tracking

Abstract This paper is concerned with how objects in an environment can be made aware of people via haptic sensing. It was motivated by the desire to make our environment “smarter” by providing it with sensory systems similar to our own. The work reported here focuses on an object that is involved in virtually all human-computer interactions, yet has remained sensory-deprived — the chair. A real-time sitting posture classification system has been developed using surface-mounted pressure sensors placed on the seatpan and backrest of a chair. The ultimate goal of this work is to build a robust multi-user sitting-posture tracking system that will have many applications including ergonomics and automatic control of airbag deployment in a car. Challenges for reaching the goal and plans of nature work are discussed.

Safe reinforcement learning for real-time automatic control in a smart energy-hub

2022 ◽  
Vol 309 ◽  
pp. 118403
Author(s):  
Dawei Qiu ◽  
Zihang Dong ◽  
Xi Zhang ◽  
Yi Wang ◽  
Goran Strbac
Keyword(s):  
Reinforcement Learning ◽  
Automatic Control ◽  
Real Time ◽  
Energy Hub
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