Control of differential gain, nonlinear gain and damping factor for high-speed application of GaAs-based MQW lasers

1993 ◽  
Vol 29 (6) ◽  
pp. 1648-1659 ◽  
Author(s):  
J.D. Ralston ◽  
S. Weisser ◽  
I. Esquivias ◽  
E.C. Larkins ◽  
J. Rosenzweig ◽  
...  
2017 ◽  
Vol 54 (3) ◽  
pp. 543-545 ◽  
Author(s):  
Yusrina Mat Daud ◽  
Kamarudin Hussin ◽  
Azlin Fazlina Osman ◽  
Che Mohd Ruzaidi Ghazali ◽  
Mohd Mustafa Al Bakri Abdullah ◽  
...  

Preparation epoxy based hybrid composites were involved kaolin geopolymer filler, organo-montmorillonite at 3phr by using high speed mechanical stirrer. A mechanical behaviour of neat epoxy, epoxy/organo-montmorillonite and its hybrid composites containing 1-8phr kaolin geopolymer filler was studied upon cyclic deformation (three-point flexion mode) as the temperature is varies. The analysis was determined by dynamic mechanical analysis (DMA) at frequency of 1.0Hz. The results then expressed in storage modulus (E�), loss modulus (E�) and damping factor (tan d) as function of temperature from 40 oC to 130oC. Overall results indicated that E�, E�� and Tg increased considerably by incorporating optimum 1phr kaolin geopolymer in epoxy organo-montmorillonite hybrid composites.


1970 ◽  
Vol 92 (3) ◽  
pp. 633-646 ◽  
Author(s):  
Russell F. Henke

A general introduction to the area of off-line and on-line identification of systems is given, and applications of these techniques to machine tool problems, especially adaptive or optimal control, are discussed. The problem of identifying the dynamic model of the metal cutting process is given special emphasis. A general formulation of the nonsequential or off-line estimation problem is presented using state variable notation, so that nonlinearities and time varying parameters may be present. Two techniques tailored to the use of the high-speed digital computer are developed to solve this general problem. The first utilizes a direct multivariable search to match the output, of an assumed dynamic model to actual experimental observations in a least squares sense. The second method uses a modified quasilinearization procedure. Controlled digital experiments are used to refine and test the proposed techniques. The two algorithms are then applied to actual experimental cutting process data. Estimates of the cutting stiffness and damping factor in the dynamic model of the cutting process are obtained, thus demonstrating the effectiveness of the developed nonsequential identification schemes, and showing that the assumed linear dynamic model adequately represents the cutting process. A later paper will consider sequential estimation applications.


1998 ◽  
Vol 34 (12) ◽  
pp. 2340-2349 ◽  
Author(s):  
Y. Matsui ◽  
H. Murai ◽  
S. Arahira ◽  
Y. Ogawa ◽  
A. Suzuki

1993 ◽  
Vol 29 (7) ◽  
pp. 579 ◽  
Author(s):  
J.-I. Shimizu ◽  
A. Kimura ◽  
K. Naniwae ◽  
M. Nido ◽  
S. Murata ◽  
...  

1991 ◽  
Vol 38 (12) ◽  
pp. 2698
Author(s):  
J. Shimizu ◽  
H. Yamada ◽  
S. Murata ◽  
A. Tomita ◽  
M. Kitamura ◽  
...  

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