Computer Science – Systems and Control
Scientific paper
2010-10-28
Computer Science
Systems and Control
It is submitted to CSI journal of computer science and engineering
Scientific paper
This paper proposes a new approach to multisensor data fusion, suggesting by considering information about the sensors' different characteristics, aggregation of data acquired by individual sensors can be done more efficient. Same as the most effective sensors' characteristics, especially in control systems, our focus is on sensors' accuracy and frequency response. A rule-based fuzzy system is presented for fusion of raw data obtained from the sensors having complement characteristics in accuracy and bandwidth. Furthermore, a fuzzy predictor system is also suggested aiming to extremely high accuracy for highly sensitive applications. The great advantages of the proposed sensor fusion system are revealed on simulation results of a control system utilizing the fusion system for output estimation.
Ahmad Akhoundi Mohammad Amin
Valavi Ehsan
No associations
LandOfFree
Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-614378