New approach of fast matrix access for real-time SAR system

2009 ◽  
Author(s):  
Tengfei Liu ◽  
Shanqing Hu ◽  
Teng Long
Keyword(s):  
Real Time ◽  
New Approach

A new approach for near real-time micro-CHP management in the context of power system imbalances – A case study

2015 ◽  
Vol 89 ◽  
pp. 270-280 ◽  
Author(s):  
J. Zapata Riveros ◽  
R. Donceel ◽  
J. Van Engeland ◽  
W. D’haeseleer
Keyword(s):  
Power System ◽  
Real Time ◽  
New Approach

Real-Time Robot Capability Analysis

2005 ◽  
Author(s):  
Chalongrath Pholsiri ◽  
Chetan Kapoor ◽  
Delbert Tesar
Keyword(s):  
Decision Making ◽  
Path Planning ◽  
Real Time ◽  
Computationally Efficient ◽  
New Approach ◽  
Ellipsoid Method ◽  
Capability Analysis ◽  
Computationally Intensive ◽  
Planar Robots

Robot Capability Analysis (RCA) is a process in which force/motion capabilities of a manipulator are evaluated. It is very useful in both the design and operational phases of robotics. Traditionally, ellipsoids and polytopes are used to both graphically and numerically represent these capabilities. Ellipsoids are computationally efficient but tend to underestimate while polytopes are accurate but computationally intensive. This article proposes a new approach to RCA called the Vector Expansion (VE) method. The VE method offers accurate estimates of robot capabilities in real time and therefore is very suitable in applications like task-based decision making or online path planning. In addition, this method can provide information about the joint that is limiting a robot capability at a given time, thus giving an insight as to how to improve the performance of the robot. This method is then used to estimate capabilities of 4-DOF planar robots and the results discussed and compared with the conventional ellipsoid method. The proposed method is also successfully applied to the 7-DOF Mitsubishi PA10-7C robot.

New Approach in Real-Time Bit Wear Prediction

2010 ◽  
Author(s):  
Behrad Rashidi ◽  
Geir Hareland ◽  
Andrew Wu
Keyword(s):  
Real Time ◽  
Wear Prediction ◽  
New Approach ◽  
Bit Wear
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