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Yongqiang Wang

Yongqiang WangAssistant Professor of Electrical and Computer Engineering

Ph.D. - Tsinghua University
Control Science & Engineering
B.S. - Xi’an Jiaotong University 
Electrical Engineering and Automation;
Computer Science and Technology

Contact Information
Office: 332 Fluor Daniel Building
Office Phone: 864.656.5923
Fax: 864.656.7220

Group Web page

Dr. Wang is a senior member of the IEEE. He is the recipient of 2008 Young Author Prize (funded by IFAC Japan Foundation) at the 17th International Federation of Automatic Control (IFAC) World Congress held in Seoul, Korea. He is an associate editor for Scholarpedia and IEEE Control Systems Society Conference Editor Board (which is in charge of IEEE conference on Decision and Control, the American Control Conference, and the IEEE Multi Conference on Systems and Control). He is also an active reviewer for many journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications, IEEE Transactions on Control Systems Technology, IEEE Transactions on Control of Network Systems, IEEE Transactions on Reliability, IEEE Transactions on Circuits and Systems-Part I, and IEEE Transactions on Computers, etc. Before joining Clemson in 2014, Dr. Wang was with the University of California, Santa Barbara as a project scientist.

Dr. Wang’s research centers on developing engineering solutions for generating desired collective network behavior from multiple interacting individuals. The research has two aspects: (1) on the engineering side, to build effective and decentralized cooperation principles that enable a group of agents (e.g., sensors, robotics) to fulfill cooperative tasks autonomously; (2) on the biological side, to unravel the mechanism of how biological systems (e.g., multicellular organisms, social insects) achieve complex cooperative tasks with robustness and reliability from the cooperation of multiple cheap, unreliable, and limited constituent units. The two aspects correlate closely to each other: the engineering side can verify biological research, and the biological side can lend inspiration to engineering design. Example of specific research topics going on in the lab include:

  1. Distributed coordination and synchronization of wireless sensor networks. Wireless sensor networks have become an essential element in numerous military, industrial and consumer applications, such as surveillance, industrial process monitoring and control, machine health monitoring, and environmental monitoring. The key enabler for the application of wireless sensor networks is coordination and synchronization algorithms, without which information fusion and medium access control are impossible among constituent sensors. By turning to nature for inspiration and using rigorous mathematical analysis, we have proposed several novel synchronization algorithms for wireless sensor networks. Experimental results confirmed that they are superior to the current state-of-the-art synchronization protocol in terms of both energy efficiency and synchronization accuracy. Due to their appealing performance, the new algorithms have attracted industry partners, and currently we are collaborating to gear the synchronization algorithms towards practical applications.
  2. Modeling and analysis of biological oscillator networks. Rhythms are fundamental to biological activities. With period lengths ranging from seconds in glycolytic oscillations, to hours in circadian activities, to years in reproduction, these rhythms are among the most conspicuous properties of living systems. Most biological oscillators are arranged in networks composed of multiple cellular oscillators. By using systems and control techniques, we aim to uncover the mechanism of how organism-level collective behavior is established from intercoupled cellular oscillations. Our goal is to investigate the mechanisms of the interaction and cooperation between biological cellular oscillators. The results will directly contribute to the understanding of complex biological processes such as circadian rhythms and embryogenesis.
  3. Cooperative control of multi-agent systems. Cooperative control enables multi-agent systems to achieve a global goal in a decentralized manner, and has found extensive applications in, e.g., formation control of unmanned aerial vehicles (UAVs), distributed sensing, mobile networks, and robotics cooperation. Using the knowledge acquired from the study of biological collective behaviors and rigorous mathematical analysis, we are interested in designing bio-inspired cooperative control approaches for multi-agent systems that can meet various stringent requirements, such as high scalability and accuracy, high energy efficiency, and failure tolerance. As has been proven, the ideas and principles of biological systems can greatly benefit engineered systems. We believe the mechanism of collective cooperation and interaction of biological oscillators can provide us with inspiration for the cooperative control of engineered multi-agent systems.