王建宏

作者: 时间:2021-11-10 点击数:

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:1980-10

学科专业: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,201212.

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,20174.

3. Research on multi UAVs formation detection and its extensions in control theory[M],冶金工业出版社,20216.

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 andAerospace 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 closedloop system with two parametrized controller[J], International Journal of Systems Science, 2021, SCI.

9. Introducing System Identification Strategy into ModelPredictive 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, 2019EI.

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

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

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

25. Application of ellipsoidal approximation into targettracking for multi UAVs formation cooperativedetection [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,2016,1-2016,123万元

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,2017,1-2017,123万元

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,2015,1-2016,126万元

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,2016,1-2017,122万元

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,2020,1-2021,126万元

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,2019,1-2020,53万元

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