Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive

2002 ◽  
Author(s):  
Ming-Fa Tsai ◽  
Ying-Yu Tzou
Keyword(s):  
Adaptive Control ◽  
Parallel Processing ◽  
Real Time ◽  
Dc Motor ◽  
Processing Technique ◽  
Motor Drive ◽  
Identification System ◽  
Design And Implementation ◽  
Real Time Identification

Real-time identification system of asphalt pavement texture based on the close-range photogrammetry

2019 ◽  
Vol 226 ◽  
pp. 910-919 ◽  
Author(s):  
Jiaying Chen ◽  
Xiaoming Huang ◽  
Binshuang Zheng ◽  
Runmin Zhao ◽  
Xiuyu Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Asphalt Pavement ◽  
Identification System ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Real Time Identification

System Designation and Optimization in Real-Time Identification of Lane Boundary Based on DM642

2012 ◽  
Vol 433-440 ◽  
pp. 2571-2577
Author(s):  
Yu Qin Zhao ◽  
Run Shen Zhang ◽  
Yong Kun Li ◽  
Jun Jie Zang
Keyword(s):  
Objective Function ◽  
Real Time ◽  
Image Data ◽  
Optimization Methods ◽  
Ant Algorithm ◽  
Identification System ◽  
Hardware Platform ◽  
Assembly Code ◽  
Real Time Identification ◽  
Intrinsic Function

The hardware and programming of lane boundary identification system, which based on the hardware platform of DM642, designed. The system complete the functions of acquiring image data, optimizing acquired data by ant algorithm, comparing value by the objective function, exporting image of lane boundary and so on. For the sake of improving the real time capability further, optimize code by way of methods, which include the optimization of compiler, intrinsic function, packaging data, using pipeline technique, and assembly code, giving specific optimization methods and real time capability of algorithm affected by each process. As a result the identification time of system reduced from 101.75 ms to 20.55ms, improved the system of real time capability effectively, laying a good foundation for industry.

Adaptive control of a nonlinear dc motor drive using recurrent neural networks

2008 ◽  
Vol 8 (1) ◽  
pp. 371-382 ◽  
Author(s):  
Khaled Nouri ◽  
Rached Dhaouadi ◽  
Naceur Benhadj Braiek
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Recurrent Neural Networks ◽  
Dc Motor ◽  
Motor Drive
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