Why to Use Dual-Vt, If Single-Vt Serves the Purpose Better under Process Parameter Variations?

Author(s):  
Sudip Roy ◽  
Ajit Pal
2018 ◽  
Vol 1123 ◽  
pp. 012048
Author(s):  
Ameer F Roslan ◽  
F Salehuddin ◽  
A S M Zain ◽  
Norhisham Mansor ◽  
K E Kaharudin ◽  
...  

2018 ◽  
Vol 7 (4) ◽  
pp. 1-19
Author(s):  
A. K. Pal ◽  
Indrajıt Naskar ◽  
Sampa Paul

In model reference adaptive controller (MRACs), the adaptive gain of the controller is varied according to the process dynamic variation as it is directly related with the system stability. In MRAC, there is no provision of an automatic selection of adaptive gain and adaptation rate. To get rid of this problem and for the automatic selection of adaptive gain, a fuzzy-based scheme is presented in this article. In the proposed fuzzy-based technique, the controller output gain is illustrated as the function of input process parameters, which is continuously amended for any process parameter variations. A set-point modulation scheme is also incorporated to tackle the undesired process parameter variations and to improve performance indices of the process under control. The performance of the proposed set-point modulated fuzzy-based model reference adaptive controller (SFMRAC) is demonstrated on different second order linear, marginally stable and nonlinear models. The scheme is also explored on a real-time twin arm overhead crane for transport of material without pendulation.


Author(s):  
M. Meléndez-Rodrí­guez ◽  
J. Silva-Martí­nez ◽  
R. Spencer

A family of versatile building blocks intended for the implementation of Morlet wavelets is proposed. The circuits are compact, fully programmable, and well suited for low-voltage and low-power applications. The resulting wavelet is temperature compensated and low sensitive to process parameter variations. Using current sources can independently control the main wavelet parameters. Hspice and breadboard results demonstrate the feasibility of both the wavelet realization and proposed circuits.


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