姓名：王建宏

性别：男

邮箱：wangjianhong3624@126.com

学位/职称：博士（后）/副教授

出生年月：1980年10月

学科专业：控制科学与工程、电子信息

讲授课程：系统辨识；自适应控制；预测控制；凸优化；

最优控制；动态规划与随机控制

研究方向：自适应预测控制、系统辨识、数据驱动控制、飞行控制、工程控制

出版著作及代表性论文 (第一作者)：

1. 先进辨识的控制策略研究及其应用[M]，天津大学出版社， 2012年12月.

2. 多无人机编队协同指挥控制技术研究[M]，北京工业大学出版社，2017年4月.

3. Research on multi UAVs formation detection and its extensions in control theory[M]，冶金工业出版社，2021年6月.

4. Data driven control theory and applications[M], 冶金工业出版社，2022年出版.

5. Synthesis analysis for multi UAVs formation anomaly detection[J], Aircraft Engineering and Aerospace Technology, 2021, SCI.

6. Optimal input signal design for aircraft flutter model parameters identification[J], Aircraft Engineering and Aerospace Technology, 2021, SCI.

7. An improved ellipsoid optimization algorithm in subspace predictive control[J], Aircraft Engineering and Aerospace Technology, 2021, SCI.

8. Adaptive iterative correlation tuning for closed loop system with two parametrized controller[J], International Journal of Systems Science, 2021, SCI.

9. Introducing System Identification Strategy into Model Predictive Control[J], Journal of Systems Science and Complexity, 2020 , SCI.

10. Zonotope parameter identification for piecewise affine systems[J], Journal of Systems Engineering and Electronics, 2020, SCI.

11. Finite sample properties of virtual feedback tuning with two degrees of freedom controllers[J], ISA Transactions, 2020, SCI.

12. Optimal input signal design for multi UAVs formation anomaly detection[J], ISA Transactions, 2020, SCI.

13. Stealth identification strategy for closed loop system structure[J], International Journal of Systems Science, 2020, SCI.

14. Adjustable scaling parameter for state of charge estimation for Lithium-ion batteries using iterative multiple UKFs[J], Mathematical problems in engineering, 2020, SCI.

15. Combining instrumental variable and covariance matching for aircraft flutter model identification[J], Shock and Vibration, 2019, SCI.

16. Zonotope parameter identification algorithm for virtual reference feedback tuning control[J], International Journal of Systems Science, 2019, SCI.

17. Application of interval predictor model into robust model predictive control[J], International Journal of Systems Science, 2019, SCI.

18. Finite sample properties of virtual reference feedback tuning control[J], Journal of Systems Science and Complexity, 2018 , SCI.

19. Adaptive direct data driven control scheme for unknown plant[J], International Journal of Innovative, Computing ,Information and Control, 2020, EI.

20. Combining recursive projection and dynamic programming technique in multi UAVs formation anomaly detection[J], International Journal of Modeling, Identification and Control, 2019, EI.

21. Combining projection algorithm and scenario approach for virtual reference feedback tuning control[J], International Journal of Innovative, Computing ,Information and Control, 2019， EI.

22. Stability analysis for nonlinear closed loop system structure[J], Systems Science & Control Engineering, 2020, EI.

23. Robust analysis for data-driven model predictive control[J], Systems Science & Control Engineering, 2021, EI.

24. Target tracking algorithms for multi-UAVs formation cooperative detection[J], Systems Science & Control Engineering, 2021, EI.

25. Application of ellipsoidal approximation into target tracking for multi UAVs formation cooperative detection [J], International Journal of Modeling, Identification and Control, 2020, EI.

26. Recursive identification of piecewise affine Hammerstein models[J], International Journal of Intelligent Computing and Cybernetics, 2018, EI.

27. Model structure validation for closed-loop system identification[J], International Journal of Modeling, Identification and Control , 2017, EI.

28. Plug and play robust distributed control with ellipsoidal parametric uncertainty system[J]，Journal of Control Science and Engineering , 2016, EI.

29. Interior Point Algorithm for Multi-UAVs Formation Autonomous Reconfiguration[J]，Journal of Control Science and Engineering , 2016, EI.

30. Finite model order asymptotic analysis in wiener system identification[J], International Journal of Modeling, Identification and Control, 2016, EI.

主持承担科研项目及经费：

1. 基于数据驱动的压电陶瓷非线性辨识及控制技术研究, 江西省教育厅，2016,1-2016,12，3万元

2. 数据驱动下动态网络系统的一致性辨识策略研究，江西省教育厅，2017,1-2017,12，3万元

3. 无人直升机超机动飞行模态辨识与控制技术研究，江西省科技厅，2015,1-2016,12，6万元

4. 舰载无人直升机舰面起降先进控制技术研究，景德镇科技局，2016,1-2017,12，2万元

5. 虚拟参考反馈校正控制及其在高精度伺服跟踪转台中的应用研究，江西省科技厅，2020,1-2021,12，6万元

6. 蜂群算法与视觉导航的小型无人机定点回收技术，江西省教育厅，2019,1-2020,5，3万元