Feng Ding was born in Guangshui, Hubei Province, China. He received his B. Sc. degree from the Hubei University of Technology (Wuhan, China) in 1984, and his M. Sc. and Ph. D. degrees
both from the Tsinghua University (Beijing, China) in 1991 and 1994. From 1984 to 1988, he was an Electrical Technician at the Hubei Pharmaceutical Factory, Xiangfan, China. From 1994 to 2002, he was with the Department of Automation at the Tsinghua University, Beijing, China. From 2002 to 2005, he was a Post-Doctoral Fellow/Research Associate at the University of Alberta, Edmonton, Canada. He has been a professor in the School of Internet of Things Engineering at the Jiangnan University (Wuxi, China) since 2004.
He has published over seven hundred papers and has authored or coauthored the books {\it Adaptive Control Systems} (Tsinghua University Press, Beijing, 2002) and {\it Modern Control Theory} (Tsinghua University Press, Beijing, 2018), and five books on {\it System Identification-New Theory and Methods} (2013), {\it System Identification-Performance Analysis for Identification Methods} (2014), {\it System Identification-Multi-Innovation Identification Theory and Methods} (2016), {\it System Identification-Auxiliary Model Identification Idea and Methods} (2017), {\it System Identification-Iterative Search Principle and Identification Methods} (2018) at Science Press, Beijing, China. His research interests include model identification and adaptive
control.
In the recent era of communication, wireless sensor networks (WSNs) emerged as a demanding area of study due to their communication capacity especially in the application of Internet of things (IoT). As the breadth and range of networks expand quickly, it becomes necessary to sense, transmit, and interpret the massive amount of data in IoT devices. WSN becomes even more beneficial and popular among the researchers when it integrates with unmanned aerial vehicles (UAVs) to increase the life span and establish a reliable communication between itself and Network Control Centre in an efficient way. Memory problems and network data transmission processing times are also addressed by this integrat... More >
Graphical Abstract
Free Access
|
Research Article
| 29 September 2024
With the increasing complexity of the working environment and the diversification of mission requirements of UAVs, traditional UAVs have a fixed structure and single function. It is difficult to be applied in occasions with complex environments and changing load demands. The modular reconfigurable flight array (MRFA) is composed of no less than four isomorphic unit modules that are freely spliced together. By adding or removing flight unit modules and adjusting the arrangement of flight unit modules, the configuration of the MRFA can be changed, so that it can adapt to complex environments and then complete different flight missions. In the process of MRFA research and development, online co... More >
Graphical Abstract
We use cookies
Our website uses cookies that are essential for its operation and additional cookies to track performance, or to improve and personalize our services. By clicking "Allow all cookies", you agree to the storing of cookies on your device. For more information on how we use cookies, please see our Cookie Policy.