Linear Amplifier Noise and Which-Path Information

Author(s):  
J.D. Franson ◽  
R.A. Brewster
1999 ◽  
Vol 35 (2) ◽  
pp. 159 ◽  
Author(s):  
R.A. Griffin ◽  
P.M. Lane ◽  
J.J. O'Reilly

1964 ◽  
Vol 17 (5) ◽  
pp. 497-511 ◽  
Author(s):  
N. R. MANTENA ◽  
T. VAN DUZER

2000 ◽  
Author(s):  
Jeffrey S. N. Paine ◽  
David S. Bennett ◽  
Carlos E. Cuadros

Abstract As piezoelectric actuators are developed for high strokes and/or high force applications, the amount of piezoelectric material used in the actuator must also increase. Reducing the size of drive electronics becomes difficult using traditional linear power electronics packages when applications require as much as 40 μF of piezoelectric load. In order to efficiently drive piezoelectric actuator systems, bi-directional systems (drivers that recover the energy put into the piezoelectric capacitor) must be used. Since less than 10% of the power going into the piezoelectric actuator is real versus the large reactive load used to power the piezoelectric materials, bidirectional systems have a much higher efficiency. A comparison is made between traditional linear and PWM amplifier systems and tailored piezoelectric bi-directional driver systems. Bi-directional systems have power dissipation levels up to 1/8th those of traditional linear amplifier systems. In the course of the research both linear and PWM concepts were investigated. A rationale for comparing the overall efficiency of drive electronics systems is presented. Some innovative efficient concepts for piezoelectric system drivers are presented and discussed.


Robotica ◽  
2022 ◽  
pp. 1-17
Author(s):  
Jie Liu ◽  
Chaoqun Wang ◽  
Wenzheng Chi ◽  
Guodong Chen ◽  
Lining Sun

Abstract At present, the frontier-based exploration has been one of the mainstream methods in autonomous robot exploration. Among the frontier-based algorithms, the method of searching frontiers based on rapidly exploring random trees consumes less computing resources with higher efficiency and performs well in full-perceptual scenarios. However, in the partially perceptual cases, namely when the environmental structure is beyond the perception range of robot sensors, the robot often lingers in a restricted area, and the exploration efficiency is reduced. In this article, we propose a decision-making method for robot exploration by integrating the estimated path information gain and the frontier information. The proposed method includes the topological structure information of the environment on the path to the candidate frontier in the frontier selection process, guiding the robot to select a frontier with rich environmental information to reduce perceptual uncertainty. Experiments are carried out in different environments with the state-of-the-art RRT-exploration method as a reference. Experimental results show that with the proposed strategy, the efficiency of robot exploration has been improved obviously.


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