Professor Tong Shaocheng, Ph.D., doctoral supervisor, senior member of IEEESystems, Man, and Cybernetics Society, has been chosen as “Highly-Cited Researchers”six times in a row by Clarivate Analytics since 2014. Specializing in fuzzy system theory, intelligent control, self-adaptive control, and robust control, he haspublished more than two hundred SCI papers on the international journals as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, EEE Transactions on Systems Man Cybernetics：Systems, Fuzzy Sets and Systems,and so forth.On the side, Professor Tong has held the post of associate editor of many pronounced international magazines as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, International Journal of Fuzzy Systems.

Representative papers:

1.     Shaocheng Tong, Xianglei He, Huaguang Zhang, A combined backstepping and small-gain approach to robust adaptive fuzzy output feedback control, IEEE Transactions on Fuzzy Systems, vol. 17, no. 5, pp. 1059-1069, 2009.

2.     Shaocheng Tong, Changliang Liu, Yongming Li, Fuzzy-adaptive decentralized output feedback control for large-scale nonlinear systems with dynamical uncertainties, IEEE Transactions on Fuzzy Systems, vol.18, no.5, pp.845-861, 2010.

2.     Shaocheng Tong, Yongming Li, Gang Feng and Tieshan Li, Observer-based adaptive fuzzy backstepping dynamic surface control for a class of MIMO nonlinear systems, IEEE Transactions on Systems, Man and Cybernetics, Part B, vol.41, no.4, pp.1124-1135, 2011. 

3.     Shaocheng Tong, Yongming Li, Huaguang Zhang, Adaptive neural network decentralized backstepping output-feedback control for nonlinear large-scale systems with time delays, IEEE Transactions on Neural Networks, vol.22, no.7, 1073-1086, 2011.

4.     Shaocheng Tong, Changliang Liu, Yongming Li, Huaguang Zhang, Fuzzy adaptive decentralized control for large-scale nonlinear systems with dynamical uncertainties, IEEE Transactions on Systems, Man and Cybernetics, Part B, vol.41, no.2. pp.474–485, 2011.

5.     Shaocheng Tong, Yue Li, Yongming Li, Yanjun Liu, Observer-based adaptive fuzzy backstepping control for a class of stochastic nonlinear strict-feedback systems, IEEE Transactions on Systems, Man and Cybernetics, Part B, vol.41, no.6, pp.1693-1704, 2011.

6.     Shaocheng Tong, Yongming Li, Adaptive fuzzy output feedback tracking backstepping control of strict-feedback nonlinear systems with unknown dead zones, IEEE Transactions on Fuzzy Systems, vol.20, no.1, pp.168-180, 2012.

7.     Shaocheng Tong, Yongming Li, and Peng Shi, Observer-based adaptive fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systems, IEEE Transactions on Fuzzy Systems, vol.20, no.4, pp.771-785, 2012.

8.     Shaocheng Tong, Tong Wang, Yongming Li, Bing Chen, A combined backstepping and stochastic small-gain approach to robust adaptive fuzzy output feedback control, IEEE Transactions on Fuzzy Systems, vol. 21, no.2, pp.314-327, 2013.

9.     Shaocheng Tong, and Yongming Li, Adaptive fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone input, IEEE Transactions on Fuzzy Systems, vol.21, no.1, pp.134-146, 2013.

10.  Shaocheng Tong, Tong Wang, Yongming Li, Fuzzy adaptive actuator failure compensation control of uncertain stochastic nonlinear systems with unmodeled dynamics, IEEE Transactions on Fuzzy Systems, vol.22, no.3, pp.563-574, 2014.

11.  Shaocheng Tong, BaoyuHuo, Yongming Li, Observer-based adaptive decentralized fuzzy fault-tolerant control of nonlinear large-scale systems with actuator failures, IEEE Transactions on Fuzzy Systems, vol.22, no.1, pp.1-15, 2014.

12.  Shaocheng Tong, Yongming Li, Adaptive fuzzy decentralized output feedback control for nonlinear large-scale systems with unknown dead zone inputs, IEEE Transactions on Fuzzy Systems, vol.21, no.5, pp.913-925, 2013.

13.  Shaocheng Tong, Tong Wang, Yongming Li, Huaguang Zhang, Adaptive neural network output feedback control for stochastic nonlinear systems with unknown dead-zone and unmodeled dynamics, IEEE Transactions on Cybernetics, vol.44, no.6, pp.910-921, 2014.

14.  Shaocheng Tong, Shuai Sui, Yongming Li, Fuzzy adaptive output feedback control of MIMO nonlinear systems with partial tracking errors constrained, IEEE Transactions on Fuzzy Systems, vol.23, no.4, pp.729-742, 2015.

15.  Shaocheng Tong, Shuai Sui, Yongming Li, Observed-based adaptive fuzzy tracking control for switched nonlinear systems with dead-zone, IEEE Transactions on Cybernetics, vol.45, no.12, pp.2816-2826, 2015.

16.  Shaocheng Tong, Lili Zhang, Yongming Li, Observed-based adaptive fuzzy decentralized tracking control for switched uncertain nonlinear large-scale systems with dead zones, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.46, no.1, pp.37-47, 2016.

17.  Shaocheng Tong, Yongming Li, Shuai Sui, Adaptive fuzzy tracking control design for SISO uncertain non-strict feedback nonlinear systems, IEEE Transactions on Fuzzy Systems, vol.24, no.6, pp. 1441-1454, 2016.

18.  Shaocheng Tong, Yongmng Li, Adaptive fuzzy output feedback control for switched nonlinear systems with unmodeled dynamics, IEEE Transactions on Cybernetics, vol.47, no.2,pp.295-305, 2017.

19.  Shaocheng Tong, Kangkang Sun, Shuai Sui, Observer-based adaptive fuzzy decentralized optimal control design for strict feedback nonlinear large-scale systems, IEEE Transactions on Fuzzy Systems, vol.26, no.2, pp.569-584, 2018.

Professor Liu Yanjun, Ph.D.,doctoral supervisor, senior member of IEEE Systems, Man, and Cybernetics Society, has won National Science Fund for Outstanding Young Scholars in 2016 and National Science Fund for Distinguished Young Scholars in 2020. Back in 2015, he has acquired the honorary title of “Specially-appointed Professor” in Liaoning province. Now, he is also an editorial board member in many pronounced journals home and abroad, such as IEEE Transactions on Systems, Man and Cybernetics: Systems.Specializing in optimal control and intelligent control, Professor Liu has published more than forty SCI papers on many distinguished international journals as Automatica, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Systems, and Man and Cybernetics: Systems.

Representative papers：

1. Y. J. Liu, W. Wang, S. C. Tong and Y. S. Liu, Robust adaptive tracking control for nonlinear systems based on bounds of fuzzy approximation parameters, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, Vol. 40, No. 1, pp. 170-184, January, 2010.

2. Y. J. Liu, C. L. P. Chen, G. X. Wen, S. C. Tong, Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems, IEEE Transactions on Neural Networks, Vol. 22. No. 7, pp. 1162–1167, July, 2011.

3. Y. J. Liu, S. C. Tong and C. L. P. Chen, Adaptive fuzzy control via observer design for uncertain nonlinear systems with unmodeled dynamics, IEEE Transactions on Fuzzy Systems, vol. 21, no. 2, pp. 275-288, April, 2013.

4. Y. J. Liu and S. C. Tong, Adaptive fuzzy control for a class of nonlinear discrete-time systems with backlash, IEEE Transactions on Fuzzy Systems, vol. 22, no. 5, pp. 1359-1365, 2014.

5. Y. J. Liu, L. Tang, S. C. Tong, C. L. P. Chen, and D. J. Li, Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 1, pp. 165-176, Jan, 2015.

6. Y. J. Liu and S. C. Tong, Adaptive NN tracking control of uncertain nonlinear discrete-time systems with nonaffine dead-zone input, IEEE Transactions on Cybernetics, vol. 45, no. 3, pp. 497-505, 2015.

7. Y. J. Liu, S. C. Tong, C. L. P. Chen, and D. J. Li, Neural controller design-based adaptive control for nonlinear MIMO systems with unknown hysteresis inputs, IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 9-19, Jan. 2016.

8. Y. J. Liu and S. C. Tong, Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints, Automatica, vol. 64, pp. 70-75, February, 2016.

9. Y. J. Liu, Y. Gao, S. C. Tong and Y. M. Li, Fuzzy approximation-based adaptive backstepping optimal control for a class of nonlinear discrete-time systems with dead-zone, IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, pp. 16-28, Feb. 2016.

10. Y. J. Liu and S. C Tong, Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems, Automatica, vol. 76, pp. 143-152, 2017.

Professor Li Yongming,Ph.D., doctoral supervisor, senior member of IEEE Systems, Man, and Cybernetics Society, member of International Neural Network Society,“Specially-appointed Professor” in Liaoning province, has won National Science Fund for Outstanding Young Scholars in 2018. He is also an editorial board member in many pronounced journals home and abroad, such as International Journal of Fuzzy Systems,Neural Computing and Applications, andIEEE ACCESS. Specializing in optimal control and intelligent control, self-adaptive control, and fault-tolerant control, Professor Li has been chosen as “Highly-Cited Researchers” four times in a row by Clarivate Analytics since 2016, and has won Youth Science and Technology Prize in Liaoning province in 2017. Many international papers of his have won IEEE Best Paper Award.

Representative papers:

1. Yongming Li, Kewen Li, Shaocheng Tong, Finite-time adaptive fuzzy output feedback dynamic surface control for MIMO non-strict feedback systems, IEEE Transactions on Fuzzy Systems, vol.27, no.1, pp.96-110, 2019.

2. Yongming Li, Kangkang Sun, Shaocheng Tong, Observer-based adaptive fuzzy fault-tolerant optimal control for SISO nonlinear systems, IEEE Transactions on Cybernetics, vol.49, no.2, pp.649-661, 2019.

3. Yongming Li, Lu Liu, Gang Feng, A robust adaptive output feedback control approach to a class of non-triangular stochastic nonlinear systems, Automatica, vol.89, pp.325-332, 2018.

4. Yongming Li, Shaocheng Tong, Lu Liu, Gang Feng, Adaptive output-feedback control design with prescribed performance for switched nonlinear systems, Automatica, vol.80, pp.225-231, 2017.

5. Yongming Li, Shaocheng Tong, Adaptive neural networks decentralized FTC design for nonstrict-feedback nonlinear interconnected large-scale systems against actuator faults, IEEE Transactions on Neural Networks and Learning Systems, vol.28, no.11, pp.2541-2554, 2017.

6. Yongming Li, Shaocheng Tong, and Tieshan Li, Hybrid fuzzy adaptive output feedback control design for uncertain MIMO nonlinear systems with time-varying delays and input saturation, IEEE Transactions on Fuzzy Systems, vo.24, no.4, pp.841-853, 2016.

7. Yongming Li, Shaocheng Tong, and Tieshan Li, Observer-based adaptive fuzzy tracking control of MIMO stochastic nonlinear systems with unknown control direction and unknown dead-zones, IEEE Transactions on Fuzzy Systems, vol.23, no.4, pp.1228-1241, 2015.

8. Yongming Li, Shaocheng Tong, and Tieshan Li, Composite adaptive fuzzy output feedback control design for uncertain nonlinear strict-feedback systems with input saturation, IEEE Transactions on Cybernetics, vol.45, no.10, pp.2299-2308, 2015.

9. Yongming Li, Shaocheng Tong, and Tieshan Li, Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems, IEEE Transactions on Cybernetics, vol.45, no.1, pp.138-149, 2015.

10. Yongming Li, Shaocheng Tong, Yanjun Liu, Tieshan Li, Adaptive fuzzy robust output feedback control of nonlinear systems with unknown dead zones based on small-gain approach, IEEE Transactions on Fuzzy Systems, vol. 22, no.1, pp.164-176, 2014.