Dezhi Xu

Associate Professor

School of IoT Engineering

Email: xudezhi@jiangnan.edu.cn

Phone:+86-15006176505

Education background

Bachelor of Automation, North University of China, Taiyuan, China, 2007;

Master of Control Theory and Control Engineering, Lanzhou University of Technology, Lanzhou, China, 2010;

Ph.D. in Control Theory and Control Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, 2007.

Social service

IEEE Member

Special Committee Member of Energy Internet in CAA

Areas of Research Interests/ Research Projects

Data-Driven Control, Fault Diagnosis and Fault-Tolerant Control, Smart grid, Energy storage operation and control

National Natural Science Foundation of China: Data driven fault-tolerant control under sensor faults and its application (2016-2018);

Research Status

My research addresses the methods and techniques of model free adaptive control and fault tolerant control (FTC) for complex nonlinear systems. Starting from my Ph.D. study, I worked on the active FTC methodology for NSV and model free adaptive control for process control system. We proposed a decentralized FTC approach and a new dynamic anti-windup method with control input constrain, I joined Jiangnan University at 2014.

In the recent five years, my research interest is on the interconnected power system with distributed renewable energy and energy storage. As the development direction of the future power grid, the multi-area interconnected power system needs more friendly access to various renewable generation systems. I proposed a framework of circuit topology for interconnected power system with energy storage.

In addition, I researched on model free adaptive control, fault tolerant control and multi-agent techniques, and proposed a model free adaptive control method for high-order nonlinear system.

Until now, I have published over 50 papers in international and domestic journals and conferences, and serve as reviewer to many international and domestic journals.

Honors And Awards

Jiangsu Excellent Doctoral Thesis Award, 2015.

Wuxi Natural Science excellent paper award, 2016.

Science and Technology Progress Award by China Commercial Federation, 2016.

Science and Technology Progress Award by China Light Industry Federation, 2017.

Academic Achievement

[1] D Xu, Y Shi, Z Ji, Model-Free Adaptive Discrete-Time Integral Sliding Mode Constrained Control for Autonomous 4WMV Parking Systems, IEEE Transactions on Industrial Electronics, Volume: 65, Issue: 1, Jan. 2018, 834- 843. (SCI, EI)

[2] D Xu, J Liu, XG Yan, W Yan, A Novel Adaptive Neural Network Constrained Control for Multi-area Interconnected Power System with Hybrid Energy Storage, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2017.2767544, 2017. (SCI, EI)

[3] N. Ji, D. Xu, and F Liu, A novel adaptive neural network constrained control for solid oxide fuel cells via dynamic anti-windup, Neurocomputing, 2016, 214: 134-142 (SCI, EI)

[4] D. Xu, B. Jiang and P. Shi, Robust NSV fault-tolerant control system design against actuator faults and control surface damage under actuator dynamics. IEEE Trans. on Industrial Electronics, 62(9): 5919-5928, 2015. (SCI, EI)

[5] D. Xu, B. Jiang and P. Shi, A novel model free adaptive control design for multivariable industrial processes. IEEE Trans. on Industrial Electronics, 61(11): 6391-6398, 2014. (SCI, EI)

[6] D. Xu, B. Jiang and P. Shi, Adaptive observer based data-driven control for nonlinear discrete-time processes, IEEE Trans. on Automation Science and Engineering, 11(4): 1037-1045, 2014. (SCI, EI)

[7] D. Xu, B. Jiang, and F Liu, Improved data driven model free adaptive constrained control for a solid oxide fuel cell, IET Control Theory & Applications, 10 (12) :1412-1419, 2016. (SCI, EI)

[8] Bin Jiang, D Xu, Peng Shi, Chen C. Lim, Adaptive neural observer-based backstepping fault tolerant control for near space vehicle under control effector damage, IET Control Theory & Applications, 8(9): 658–666, 2014. (SCI, EI)

[9] D. Xu, B. Jiang, Hugh Liu, P. Shi. Decentralized asymptotic fault tolerant control of near space vehicle with high order actuator dynamics. Journal of the Franklin Institute, 2013, 350, 2519-2534. (SCI, EI)

[10] D. Xu, B. Jiang, P. Shi, Global robust tracking control of non-affine nonlinear systems with application to yaw control of UAV helicopter, International Journal of Control, Automation, and Systems, 2013 11(5), 957-965. (SCI: WOS:000325191800012, EI: 20134416909167)

[11] D. Xu, Bin Jiang, Peng Shi, Nonlinear actuator fault estimation observer: an inverse system approach via T-S fuzzy model. International Journal of Applied Mathematics and Computer Sciences, 22(1), 183-196, 2012. (SCI, EI)