孙棣华 - 重庆大学 - 自动化学院

个人简介

孙棣华，男，自动化学院教授/博导。信息物理社会可信服务计算教育部重点实验室学术带头人、智慧交通与智能控制研究所所长，重庆市智能交通工程技术研究中心主任，重庆市交通物联网工程技术研究中心主任。国家“985工程”科技创新平台重庆大学“多目标测控与高精度测控研究中心”特聘专家，重庆市控制理论与控制工程学科学术带头人。1997年获重庆大学机械制造专业博士学位。教育背景: 1978-1982 华中科技大学自动控制专业，工学学士 1986-1989 重庆大学自动控制理论与应用专业，工学硕士 1994-1997 重庆大学机械制造专业，工学博士 2003-2004 加拿大Waterloo大学，高级访问学者

研究领域

(1) 智能自动化：信息物理系统，大数据智能，智能感知与自适应控制，智能装备与机器人系统，物联网与RFID应用； (2) 智慧交通：智能交通系统规划，交通自动感知与状态识别，交通诱导与控制，车路协同与智能驾驶，智能网联汽车； (3) 智能制造及物流：集成制造，制造执行系统，物流自动化与供应链。

近期论文

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1. Wan, P., Sun, D. H.（孙棣华）, Zhao, M., Huang, S. Multistability for Almost-Periodic Solutions of Takagi-Sugeno Fuzzy Neural Networks with Nonmonotonic Discontinuous Activation Functions and Time-Varying Delays. IEEE Transactions on Fuzzy Systems, 2021, 29(2), 400-414. 2. Chen, J., Sun, D. H. （孙棣华）, Zhao, M., Li, Y., Liu, Z. A New Lane Keeping Method Based on Human-Simulated Intelligent Control. IEEE Transactions on Intelligent Transportation Systems, (2021). 3. Zhao, H., Sun, D. H. （孙棣华）, Zhao, M., Pu, Q., Tang, C. Combined Longitudinal and Lateral Control for Heterogeneous Nodes in Mixed Vehicle Platoon Under V2I Communication. IEEE Transactions on Intelligent Transportation Systems, (2021). 4. Zhang, Y., Zhao, M., Sun, D. H. （孙棣华）, Wang, S. H., Huang, S., Chen, D. Analysis of mixed traffic with connected and non-connected vehicles based on lattice hydrodynamic model. Communications in Nonlinear Science and Numerical Simulation, 2021, 94, 105541. 5. Li, Y., Sun, D. H. （孙棣华）, Zhao, M., Chen, J., Liu, Z., Cheng, S., Chen, T. MPC-based switched driving model for human vehicle co-piloting considering human factors. Transportation Research Part C: Emerging Technologies, 2020, 115, 02612. 6. Wan, P., Sun, D. H. （孙棣华）, Zhao, M., Zhao, H. Monostability and Multistability for Almost-Periodic Solutions of Fractional-Order Neural Networks with Unsaturating Piecewise Linear Activation Functions. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12), 5138-5152. 7. Wan, P., Sun, D. H. （孙棣华）, Zhao, M., Wan, L., Jin, S. Multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions. Neural Networks, 2020, 122, 231-238. 8. Wan, P., Sun, D. H. （孙棣华）, Zhao, M., Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control. Neural Networks, 2020, 123, 1-11. 9. Zhang, Y., Zhao, M., Sun, D. H. （孙棣华）, Dong, C. An extended continuum mixed traffic model. Nonlinear Dynamics, 2021, 103(2), 1891-1909. 10. Chen, D., Sun, D. H. （孙棣华）, Liu, H., Zhao, M., Li, Y., Wan, P. Robust control for cooperative driving system of heterogeneous vehicles with parameter uncertainties and communication constraints in the vicinity of traffic signals. Nonlinear Dynamics, 2020, 99(2), 1659-1674. 11. Chen, D., Sun, D. H. （孙棣华）, Zhao, M., Yang, L.-Y., Zhou, T., Xie, F. Distributed robust H∞ control of connected eco-driving system with time-varying delay and external disturbances in the vicinity of traffic signals. Nonlinear Dynamics, 2018, 92(4), 1829-1844. 12. Sun, D. H. （孙棣华）, Liu, H., Zhang, G. A new lattice hydrodynamic model with the consideration of flux change rate effect. Nonlinear Dynamics, 2018, 92(2), 351-358. 13. Zhang, G., Sun, D. H. （孙棣华）, Zhao, M. Phase transition of a new lattice hydrodynamic model with consideration of on-ramp and off-ramp. Communications in Nonlinear Science and Numerical Simulation, 2018, 54, 347-355. 14. Sun, D. H. （孙棣华）, Zhang, G., Liu, W.-N., Zhao, M., Cheng, S.-L., Zhou, T. Effect of explicit lane changing in traffic lattice hydrodynamic model with interruption. Nonlinear Dynamics, 2016, 86(1), 269-282. 15. Liu, H., Sun, D. H. （孙棣华）, Zhao, M. Analysis of traffic flow based on car-following theory: a cyber-physical perspective. Nonlinear Dynamics, 2016, 84(2), 881-893. 16. Zhang, G., Sun, D. H. （孙棣华）, Liu, W. N. Erratum to: Analysis of a new two-lane lattice hydrodynamic model with consideration of the global average flux. Nonlinear Dynamics, 2016, 83(3), 1783. 17. Zhang, G., Sun, D. H. （孙棣华）, Liu, W.-N. Analysis of a new two-lane lattice hydrodynamic model with consideration of the global average flux. Nonlinear Dynamics, 2015, 81(4), 1623-1633. 18. Sun, D. H. （孙棣华）, Zhang, G., Liu, W.-N., Zhao, M., Cheng, S.-L. Analysis of anticipation driving effect in traffic lattice hydrodynamic model with on-ramp. Nonlinear Dynamics, 2015, 81(1-2), 907-916. 19. Zhou, T., Sun, D. H. （孙棣华）, Kang, Y., Li, H., Tian, C. A new car-following model with consideration of the prevision driving behavior. Communications in Nonlinear Science and Numerical Simulation, 2014, 19 (10), 3820-3826. 20. Kang, Y.-R., Sun, D. H. （孙棣华） Lattice hydrodynamic traffic flow model with explicit drivers' physical delay, Nonlinear Dynamics, 2013, 71(3), 531-537. 21. Zheng, L.-J., Tian, C., Sun, D. H. （孙棣华）, Liu, W.-N. A new car-following model with consideration of anticipation driving behavior. Nonlinear Dynamics, 2012, 70 (2), 1205-1211. 22. Li, Y., Sun, D. H. （孙棣华）, Liu, W., Zhang, M., Zhao, M., Liao, X., Tang, L. Erratum: Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference. Nonlinear Dynamics, 2011, 66, 15-28. 23. Tian, C., Sun, D. H. （孙棣华）, Zhang, M. Nonlinear analysis of lattice model with consideration of optimal current difference. Communications in Nonlinear Science and Numerical Simulation, 2011, 16(11), 4524-4529. 24. Li, Y., Sun, D. H. （孙棣华）, Liu, W., Zhang, M., Zhao, M., Liao, X., Tang, L. Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference. Nonlinear Dynamics, 2011, 66(1-2), 15-28. 25. 李华民,吴俊美,孙棣华,陈栋,赵敏. 基于RFID电子车牌数据的公交行程时间预测方法[J]. 中国公路学报,2019,32(08):165-173+182. 26. 孙棣华,杨陈成,廖孝勇,赵敏,程森林. 基于公交GPS数据的交叉口信号配时参数估计[J].控制与决策,2018,33(04):724-730. 27. 吴勇,孙棣华,李蕊,刘新荣,梁乃兴. 快速路合流区交通事故影响因素研究[J]. 中国公路学报,2015,28(09):98-105. 28. 孙棣华,康义容,李华民. 驾驶员预估效应下车流能耗演化机理研究[J]. 物理学报,2015,64(15):347-353. 29. 崔明月,孙棣华,李永福,廖孝勇. 基于滤波反演法的参数不确定自动引导车的运动控制[J]. 控制与决策,2013,28(08):1200-1206. 30. 孙棣华,周桐,刘卫宁,郑林江. 考虑最邻近前车综合信息的反馈控制跟驰模型[J]. 物理学报,2013,62(17):81-87. 31. 崔明月,孙棣华,李永福,刘卫宁. 轮子纵向打滑条件下的移动机器人自适应跟踪控制[J]. 控制与决策,2013,28(05):664-670. 32. 孙棣华,李永福,刘卫宁,赵敏,廖孝勇. 交通信息物理系统及其关键技术研究综述[J]. 中国公路学报,2013,26(01):144-155. 33. 孙棣华,崔明月,李永福. 具有参数不确定性的轮式移动机器人自适应backstepping控制[J]. 控制理论与应用,2012,29(09):1198-1204. 34. 孙棣华,李陆,廖孝勇,赵敏,刘卫宁. 基于样条变换多元回归模型的摄像机标定算法[J]. 仪器仪表学报,2012,33(05):991-997. 35. 孙棣华,田川. 考虑驾驶员预估效应的交通流格子模型与数值仿真[J]. 物理学报,2011,60(06):836-842. 36. 李永福,孙棣华,崔明月. 全速度差跟驰模型的Lyapunov稳定性分析[J]. 控制理论与应用,2010,27(12):1669-1673. 37. 彭光含,孙棣华,何恒攀. 交通流双车跟驰模型与数值仿真[J]. 物理学报,2008,57(12):7541-7546. 38. 刘卫宁,孙棣华,宋伟,熊志宏. 智能交通虚拟共用信息平台研究[J]. 中国公路学报,2004(04):82-87. 39. 孙棣华,刘卫宁,宋伟. 基于相对熵的决策属性均衡性评价模型[J]. 系统工程理论与实践,2001(06):83-85+95. 40. 孙棣华,刘飞,但斌. 扩展质量损失函数模型的研究[J]. 机械工程学报,1998(02):27-33.

学术兼职

· IEEE ITSC, Associate Editor · 中国人工智能学会智能交通专业委员会委员 · 中国人工智能学会智能驾驶专业委员会委员 · 中国公路学会自动驾驶工作委员会委员 · 中国智能交通协会专家委员会城市交通工作委员会委员 · 交通运输部交通运输行业信息化专家 · 重庆市人工智能学会常务理事、智慧交通专委会主任