Learning tracking controllers under unknown disturbances for the installation of rigid and flexible structures

1999 ◽  
Vol 4 (4) ◽  
pp. 187-199 ◽  
Author(s):  
Hideyuki Suzuki ◽  
Tao Qi ◽  
Keisuke Watanabe
Keyword(s):  
Flexible Structures ◽  
Tracking Controllers ◽  
Unknown Disturbances

scholarly journals Learning Tracking Controller for Underwater Flexible Structures under Unknown Disturbances

1998 ◽  
Vol 1998 (183) ◽  
pp. 425-433
Author(s):  
Tao Qi ◽  
Hideyuki Suzuki ◽  
Keisuke Watanabe ◽  
Noriaki Oka ◽  
Kazuo Enomoto
Keyword(s):  
Flexible Structures ◽  
Tracking Controller ◽  
Unknown Disturbances

scholarly journals Generalized-Disturbance Rejection Control for Vibration Suppression of Piezoelectric Laminated Flexible Structures

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Xiao-Yu Zhang ◽  
Run-Xiao Wang ◽  
Shun-Qi Zhang ◽  
Zhan-Xi Wang ◽  
Xian-Sheng Qin ◽  
...  
Keyword(s):  
Disturbance Rejection ◽  
Vibration Suppression ◽  
State Space Model ◽  
Flexible Structures ◽  
State Feedback Control ◽  
Pi Control ◽  
State Variables ◽  
Disturbance Rejection Control ◽  
Unknown Disturbances ◽  
Sensor Signals

In the framework of disturbance rejection (DR) control, the paper proposes a generalized-disturbance rejection (GDR) control with proportional-integral (PI) observer for vibration suppression of smart structures under any unknown continuous disturbances. In the proposed GDR-PI control, a refined state space model is first constructed, and a generalized disturbance including the disturbance influence matrices, unknown physical disturbances, and state variables is defined. In the closed loop of GDR-PI control, physical disturbances can be counteracted indirectly by feeding back estimated generalized disturbances. By this means, the GDR-PI control remedies most of the defects in conventional DR control and has excellent performances especially in the following situations: (i) the disturbances are completely unknown; (ii) the number of sensor signals is less than the number of disturbances; (iii) the unknown disturbances vary fast. Finally, the GDR-PI control is validated and compared with H∞ state feedback control and conventional DR control available in the literature for vibration suppression of smart beams.

Progress in high-resolution CRYO-SEM imaging of viral particles

1996 ◽  
Vol 54 ◽  
pp. 818-819
Author(s):  
Ya Chen ◽  
Geoffrey Letchworth ◽  
John White
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
High Resolution ◽  
Structural Information ◽  
Signal To Noise Ratio ◽  
Flexible Structures ◽  
Simian Virus ◽  
Topographic Features ◽  
Viral Particles ◽  
Scanning Electron

Low-temperature high-resolution scanning electron microscopy (cryo-HRSEM) has been successfully utilized to image biological macromolecular complexes at nanometer resolution. Recently, imaging of individual viral particles such as reovirus using cryo-HRSEM or simian virus (SIV) using HRSEM, HV-STEM and AFM have been reported. Although conventional electron microscopy (e.g., negative staining, replica, embedding and section), or cryo-TEM technique are widely used in studying of the architectures of viral particles, scanning electron microscopy presents two major advantages. First, secondary electron signal of SEM represents mostly surface topographic features. The topographic details of a biological assembly can be viewed directly and will not be obscured by signals from the opposite surface or from internal structures. Second, SEM may produce high contrast and signal-to-noise ratio images. As a result of this important feature, it is capable of visualizing not only individual virus particles, but also asymmetric or flexible structures. The 2-3 nm resolution obtained using high resolution cryo-SEM made it possible to provide useful surface structural information of macromolecule complexes within cells and tissues. In this study, cryo-HRSEM is utilized to visualize the distribution of glycoproteins of a herpesvirus.

High strength graphite fabrics for flexible structures

1970 ◽  
Author(s):  
J. HACKWORTH ◽  
R. HOPKO
Keyword(s):  
Flexible Structures ◽  
High Strength
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