》  Research Fields

 Multi-agent systems,  distributed optimization, game theory, fractional-order systems and  control, complex systems.

》  Courses

（Before at University  of Science and Technology Beijing）

Signals and Systems  Analysis

Optimization and Optimal  Control

Introduction to Advanced  Control Technology

Automatic Production  Line Practice

》  Projects

1. 2020.01-2022.12,  Distributed multi-agent optimization algorithm based on variational  analysis, National Natural Science Foundation of China (NSFC),  No. 61903027, 270,000 CNY, PI, in research.

2. 2020.01–2020.10,  Heterogeneous multi-agent game and its application in joint combat system, Fundamental Research Funds for the Central Universities, No. FRF-TP-17-088A1, PI, 100,000 CNY, concluded.

3. 2017.11- 2019.11,  Distributed control of cyber-physical system based on game theory, Fundamental Research Funds for the Central Universities, No. FRF-TP-17-088A1, PI, 100,000 CNY, concluded.

4. 2016.05-2017.06,  Control Lyapunov functions and input to state stability of nonconvex  differential inclusions, China Postdoctoral Science Foundation,  No. 2016M591272, PI, 50,000 CNY, concluded.

5. 2020.01-2022.12,  Integrated design and application of magnetic encoder servo motor and  driver, National Key Research and Development  Program of China, No. 2019YFB2005804-01, Participant, 1,250,000  CNY, in research.

6. 2019.12-2022.11,  High precision and high response servo motor drive control, National  Key Research and Development Program of China, No. 2019YFB1309902, Participant, 2,230,000 CNY, in research.

7. 2021.01-2024.12,  Distributed quality-relevant process monitoring and diagnosis for plant-wide  processes and its application，National Natural Science Foundation  of China, No. 62073032, Participant, 570,000 CNY, in research.

8. 2021.01-2024.12,  Performance-based distributed fault diagnosis and fault-tolerant control  for complex industrial interconnected systems，National Natural  Science Foundation of China, No. 62073029, Participant, 600,000  CNY, in research.

9. 2021.01-2024.12,  Research on multi-objective optimization parallel and distributed algorithms  and their application，National Natural Science Foundation of China,  No. 12071025, Participant, 510,000 CNY, in research.

10. 2019.01-2022.12,  Quality monitoring and fault diagnosis methods for the plant-wide hot  strip mill process based on system levels and multiple conditions，National  Natural Science Foundation of China, No. 61873024, Participant,  759,000 CNY, in research.
    

》  Publications

 Paper

1. Shu Liang,  Leyi Wang, George Yin. Distributed dual subgradient algorithms with  iterate-averaging feedback for convex optimization with coupled constraints. IEEE Transactions on Cybernetics, 2021, 51(5): 2529-2539.

2. Shu Liang,  Leyi Wang, George Yin. Fractional differential equation approach for  convex optimization with convergence rate analysis. Optimization  Letters, 2020, 14(1): 145-155.

3. Shu Liang,  Xianlin Zeng, Guanpu Chen, Yiguang Hong. Distributed sub-optimal resource  allocation via a projected form of singular perturbation. Automatica,  2020, 121, 109180.

4. Shu Liang,  Leyi Wang, George Yin. Dual averaging push for distributed convex optimization  over time-varying directed graphs. IEEE Transactions on Automatic  Control, 2020, 65(4): 1785-1791.

5. Shu Liang,  Leyi Wang, George Yin. Distributed smooth convex optimization with coupled  constraints. IEEE Transactions on Automatic Control, 2020,  65(1): 347-353.

6. Shu Liang,  Leyi Wang, George Yin. Exponential convergence of distributed primal–dual  convex optimization algorithm without strong convexity. Automatica,  2019, 105, 298-306.

7. Shu Liang,  Leyi Wang, George Yin. Distributed quasi-monotone subgradient algorithm  for nonsmooth convex optimization over directed graphs. Automatica,  2019, 101: 175-181.

8. Shu Liang,  Xianlin Zeng, Yiguang Hong. Distributed sub-optimal resource allocation  over weight-balanced graph via singular perturbation. Automatica,  2018, 95(9): 222-228.

9. Shu Liang,  Xianlin Zeng, Yiguang Hong. Distributed nonsmooth optimization with  coupled inequality constraints via modified Lagrangian function. IEEE Transactions on Automatic Control, 2018, 63(6): 1753-1759.

10. Shu Liang,  Peng Yi, Yiguang Hong. Distributed Nash equilibrium seeking for aggregative  games with coupled constraints. Automatica, 2017, 85(11):  179-185.