Cellular and biomolecular detection based on suspended microchannel resonators

2021 ◽  
Vol 11 (4) ◽  
pp. 367-382
Author(s):  
Juhee Ko ◽  
Jaewoo Jeong ◽  
Sukbom Son ◽  
Jungchul Lee
Lab on a Chip ◽  
2011 ◽  
Vol 11 (4) ◽  
pp. 645-651 ◽  
Author(s):  
J. Lee ◽  
R. Chunara ◽  
W. Shen ◽  
K. Payer ◽  
K. Babcock ◽  
...  

2019 ◽  
Vol 283 ◽  
pp. 298-303 ◽  
Author(s):  
Roberta Calmo ◽  
Andrea Lovera ◽  
Stefano Stassi ◽  
Alessandro Chiadò ◽  
Davide Scaiola ◽  
...  

2018 ◽  
Vol 25 (5) ◽  
pp. 1019-1030 ◽  
Author(s):  
Mohsen Vakilzadeh ◽  
Ramin Vatankhah ◽  
Mohammad Eghtesad

In this paper, trajectory tracking control of suspended microchannel resonators (SMRs) is studied. A finite element procedure based on modified strain gradient theory will be used to model the SMR. Finite element methods usually lead to a model with a relatively high number of degrees of freedom. Thus, first, we will utilize the second order Krylov subspace method based on multi-moment matching to obtain a second order bilinear reduced system. Then, an output feedback controller and an optimal controller which take much less computation time and effort will be designed for the reduced system. The SMR is a micro-resonator which oscillates in a special frequency in practical cases, and thus tracking the desired paths is considered here as the control objective. Simulation results show the excellent performance of the proposed controllers.


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