Research Group of Theory and Application for Networked System

The group focuses on the theoretical methods and applications for networked systems considering network induced phenomena, communication protocols etc., including: analysis and design of time-delay systems; analysis and design of complex network systems; analysis, design, and application of memristive   neural networks; and analysis and control of smart grid.

Team Members

[1]      Mr. Yong He, Professor, doctoral supervisor

[2]      Mr. Chuan-Ke Zhang, Professor, doctoral supervisor

[3]      Mr. Xiongbo Wan, Assoc Professor, doctoral supervisor

[4]      Mr. Leimin Wang, Assoc Professor, master supervisor

[5]      Mr. Xingchen Shangguan, Professor, master supervisor

[6]      Ms. Li Jin, Professor, master supervisor

Research   Activities

[1]      National Natural Science Foundation of China, Demand-oriented stability and control of time-delay systems and its applications, 2019.01-2022.12

[2]      National Natural Science Foundation of China, The stability analysis and finite-time control for memristive neural networks with mixed multiple delays, 2018.01-2020.12

[3]      National Natural Science Foundation of China, Fault detection for hybrid scheduling time and communication-status-dependent event triggered networked systems, 2017.01-2020.12

[4]      National Natural Science Foundation of China, Analysis and Control for fractional order systems based on relaxed Lyapunov function, 2020.01-2023.12

Major   Achievements

[1]      Min Wu, Yong He Jinhua She, Stability Analysis and Robust Control of Time-Delay   Systems, United States: Springer, 2011.

[2]      Xiongbo Wan, Min Wu, Zidong Wang, Fault Detection and State Estimation of Complex   Networked Systems. Beijin: Science Press, 2019.

[3]      Chuan-Ke Zhang, Fei Long, Yong He, Wei Yao, Lin Jiang, Min Wu. A relaxed quadratic function negative-determination lemma and its application to time-delay   systems. Automatica, 2020, 113, 108764 .

[4]      Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu. An improved summation inequality to discrete-time systems with time-varying delay. Automatica, 2016, 74: 10-15.

[5]      Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu, Qing-Guo Wang. An extended reciprocally convex matrix inequality for stability analysis of systems with time-varying   delay. Automatica, 2017, 85: 481-485.

[6]      Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu, Hong-Bing Zeng. Delay-variation-dependent   stability of delayed discrete-time systems. IEEE Transactions on Automatic   Control, 2016, 61(9): 2663-2669.

[7]      Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu, Hong-Bing Zeng. Summation inequalities to   bounded real lemmas of discrete-time systems with time-varying delay. IEEE   Transactions on Automatic Control, 2017, 62(5): 2582-2588.

[8]      Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu. Notes on stability of time-delay systems:   bounding inequalities and augmented Lyapunov-Krasovskii functionals. IEEE   Transactions on Automatic Control, 2017, 62(10): 5331-5336.

[9]      Xiongbo Wan, Tizhuang Han, Jianqi An, Min Wu, Hidden Markov model based fault   detection for networked singularly perturbed systems, IEEE Transactions on   Systems, Man and Cybernetics: Systems, doi: 10.1109/TSMC.2019.2961978.

[10]   Xiongbo Wan, Zidong Wang, Min Wu, Xiaohui Liu, H-infinity state estimation for   discrete-time nonlinear singularly perturbed complex networks under the   round-robin protocol, IEEE Transactions on Neural Networks and Learning   Systems, 2019, 30(2): 415-426.

[11]   Xiongbo Wan, Zidong Wang, Qing-Long Han, Min Wu, A recursive approach to quantized   H-infinity state estimation for genetic regulatory networks under stochastic   communication protocols, IEEE Transactions on Neural Networks and Learning   Systems, 2019, 30(9): 2840-2852.  

[12]   Xiongbo Wan, Zidong Wang, Qing-Long Han, Min Wu, Finite-time H-infinity state   estimation for discrete time-delayed genetic regulatory networks under   stochastic communication protocols, IEEE Transactions on Circuits and Systems   I-Regular Papers, 2018, 65(10): 3481-3491.

[13]   Xiongbo Wan, Zidong Wang, Min Wu, Xiaohui Liu, State estimation for discrete   time-delayed genetic regulatory networks with stochastic noises under the   round-robin protocols, IEEE Transactions on Nanobioscience, 2018, 17(2):   145-154

[14]   Leimin Wang, Haibo He, and Zhigang Zeng, Global synchronization of fuzzy memristive   neural networks with discrete and distributed delays, IEEE Transactions on   Fuzzy Systems, 2019, In press, doi: 10.1109/TFUZZ.2019.2930032.

[15]   Leimin Wang, Haibo He, Zhigang Zeng, and Cheng Hu, Global stabilization of fuzzy   memristor-based reaction-diffusion neural networks, IEEE Transactions on   Cybernetics, 2019, In press, doi: 10.1109/TCYB.2019.2949468.

[16]   Leimin Wang, Haibo He, Zhigang Zeng, and Ming-Feng Ge, Model-independent formation   tracking of multiple Euler-Lagrange systems via bounded inputs, IEEE   Transactions on Cybernetics, 2019, In press, doi: 10.1109/TCYB.2019.2938398.

[17]   Leimin Wang, Zhigang Zeng, and Ming-Feng Ge. A disturbance rejection framework for   finite-time and fixed-time stabilization of delayed memristive neural   networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019,   doi:10.1109/TSMC.2018.2888867.

[18]   Leimin Wang, Yi Shen, Guodong Zhang. Finite-time stabilization and adaptive control   of memristor-based delayed neural networks, IEEE Transactions on Neural   Networks and Learning Systems, 2017, 28(11): 2648-2659.

[19]   Leimin Wang, Yi Shen. Finite-time stabilizability and instabilizability of delayed   memristive neural networks with nonlinear discontinuous controller, IEEE   Transactions on Neural Networks and Learning Systems, 2015, 26(11):   2914-2924.

[20]   Leimin Wang, Yi Shen, Quan Yin, Guodong Zhang. Adaptive synchronization of   memristor-based neural networks with time-varying delays, IEEE Transactions   on Neural Networks and Learning Systems, 2015, 26(9): 2033-2042.