Simple Frequency-domain Hybrid-QAM Superchannel with Path-fitted Pre-filtering and Collaborative-subcarrier Frequency Self-tuning for Flexible ROADM Systems

2017 ◽  
Author(s):  
Takahiro Kodama ◽  
Masashi Binkai ◽  
Tsuyoshi Yoshida
Keyword(s):  
Frequency Domain ◽  
Self Tuning ◽  
Subcarrier Frequency

Frequency domain approach to self-tuning PID control

1996 ◽  
Vol 4 (6) ◽  
pp. 807-813 ◽  
Author(s):  
W.K. Ho ◽  
C.C. Hang ◽  
W. Wojsznis ◽  
Q.H. Tao
Keyword(s):  
Frequency Domain ◽  
Pid Control ◽  
Self Tuning ◽  
Frequency Domain Approach

A Frequency Domain Identification Scheme for Flexible Structure Control

1990 ◽  
Vol 112 (3) ◽  
pp. 427-434 ◽  
Author(s):  
A. P. Tzes ◽  
S. Yurkovich
Keyword(s):  
Transfer Function ◽  
Frequency Domain ◽  
Time Domain ◽  
Flexible Manipulator ◽  
Flexible Structure ◽  
Structure Control ◽  
Identification Schemes ◽  
Domain Identification ◽  
Frequency Domain Methods ◽  
Self Tuning

Transfer function identification schemes for use in self-tuning control applications are considered. Frequency domain methods generally require less computational load than time domain methods, and for certain classes of systems may be more accurate. For control purposes, however, a time domain parameterization of the system transfer function is often preferred, because of the direct relationship to controller parameters. In this paper we present a new method called Time-varying Transfer Function Estimation (TTFE) in which system parameters are computed through identification in the frequency domain. The method is particularly well suited for flexible structure control problems, and a self-tuning control law with frequency shaping is derived and demonstrated on a flexible manipulator system.

Multi-Resolution Processing for Random Vibration Control

1997 ◽  
Vol 40 (1) ◽  
pp. 35-40
Author(s):  
A. Karshenas ◽  
M. Dunnigan ◽  
B. Williams ◽  
J. Goodfollow
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Vibration Control ◽  
Frequency Domain ◽  
Random Vibration ◽  
Digital Signal ◽  
Vibration Test ◽  
Octave Band ◽  
Self Tuning

A typical vibration test for a specimen is to subject it to a specific spectrum of random vibration. This paper proposes multi-resolution processing using a "frequency domain self-tuning" algorithm for application to random vibration control. MATLAB programs simulate two-octave-band and three-octave-band processing for random vibration control. A PC-based, digital signal processing (DSP) board was used to implement two-octave processing. The simulation and practical results are presented.

Correction to "The analysis of slug tests in the frequency domain" (WRR 25(11), pp. 2388-2396

1990 ◽  
Vol 26 (8) ◽  
pp. 1863-1863
Author(s):  
Paul Marschall ◽  
Baldur Barczewski
Keyword(s):  
Frequency Domain ◽  
Slug Tests
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