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User:Yang

Yang Zheng
Yang Zheng
DPhil Candidate in Engineering Science, University of Oxford
Department of Engineering Science
Control Group
Balliol College

Background

I am a DPhil (PhD) Candidate and a member of Control Group in Department of Engineering Science, University of Oxford, UK. My supervisor is Prof. Antonis Papachristodoulou. I am supported by the Clarendon Scholarship and the Jason Hu Scholarship. Before joining SySOS group in Oxford, I obtained my B.Eng degree and M. Eng from Department of Automotive Engineering, Tsinghua University, China, in 2013 and 2015, respectively. My research interests focus on the areas of optimization theory, control of networked systems, chordal sparsity, and intelligent transportation systems.

Note: this page might not update in time, please see another personal webpage Yang Zheng

Research Interests

  • Distributed Control
  • Optimal Control and Model Predictive Control
  • Chordal Graphs and Semidefinite Programs
  • Vehicular Platoon, Intelligent Transportation Systems

Publications

If you cannot have access to the online version of a paper, please feel free to email me (yang.zheng@eng.ox.ac.uk).
Citations through Google Scholar

Journal Papers

  1. Y. Zheng, R. P. Manson, and A. Papachristodoulou, Scalable Design of Structured Controllers using Chordal Decomposition , IEEE Transactions on Automatic Control, 2017, accepted.
  2. S. E. Li*, Y. Zheng*, K.Q. Li, F. Gao, Y. Wu, H. Zhang and J. Karl Hedrick,Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities, IEEE Intelligent Transportation Systems Magazine , 2017, accepted. (* contributed equally to this work)
  3. Y. Zheng, S. E. Li, K.Q. Li, Francesco Borrelli, and J. Karl Hedrick, Distributed Model Predictive Control for Heterogeneous Platoon under Unidirectional Topologies, IEEE Transactions on Control Systems Technology, 2016, accepted, online available, link
  4. F. Gao, S. E. Li, Y. Zheng and D. Kum, Robust Control of Heterogeneous Vehicular Platoon with Uncertain Dynamics and Communication Delay, IET Intelligent Transport Systems, vol 10, issue 7, page 503-513, 2016. Link.
  5. Y. Zheng , S. E. Li, ,K. Q. Li , and L.Y. Wang, Stability Margin Improvement of Vehicular Platoon considering Undirected Topology and Asymmetric Control, IEEE Transactions on Control Systems Technology, vol.24, no. 4, pp. 1253 - 1265, 2016 . Link
  6. Y. Zheng , S. E. Li, J.Q. Wang, D.P. Cao , and K. Q. Li, Stability and Scalability of Homogeneous Vehicular Platoon: Study on Influence of Information Flow Topologies, IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 1, pp14-26, 2016, . Link.
  7. J.Q. Wang, Y. Zheng, X.F. Li , C.F. Yu, K. Kodaka, and K.Q. Li, Driving Risk Assessment using Near-Crash Database through Data Mining of Tree-based Model, Accident Analysis and Prevention, vol. 84, pp. 54-64, 2015. Link
  8. J.Q. Wang, S.E. Li, Y. Zheng, and X.Y. Lu. Longitudinal Collision Mitigation via Coordinated Braking of Multiple Vehicles using Model Predictive Control, Integrated Computer-Aided Engineering, vol. 22, no. 2, pp. 171-185, 2015.
  9. S. E. Li, K. Deng, Y. Zheng, and H. Peng, Effect of Pulse‐and‐Glide Strategy on Traffic Flow for a Platoon of Mixed Automated and Manually Driven Vehicles. Computer‐Aided Civil and Infrastructure Engineering, vol. 30, no. 11, pp. 892–905, 2015. Link
  10. X.Y. Lu, J.Q. Wang, S.E. Li, and Y. Zheng, Multiple-Vehicle Longitudinal Collision Mitigation by Coordinated Brake Control, Mathematical Problems in Engineering, 2014; doi:10.1155/2014/192175

Conference Papers

  1. Y. Zheng, R. P. Manson, and A. Papachristodoulou, A Chordal Decomposition Approach to Scalable Design of Structured Feedback Gains over Directed Graphs , in the 55th IEEE Conference on Decision and Control, 2016, to appear.
  2. Y. Wu, S. Li, Y. Zheng and J. Karl Hedrick, Distributed Sliding Mode Control for Multi-vehicle Systems with Positive Definite Topologies, in the 55th IEEE Conference on Decision and Control, 2016, to appear.
  3. Y. Li, Y. Zheng, J. Wang, L. Wang, K. Kodaka, K. Li , Evaluation of Forward Collision Avoidance System Using Driver’s Hazard Perception , in the 19th IEEE International Conference on Intelligent Transportation Systems, 2016, to appear.
  4. Y. Zheng , S. E. Li, B. Xu ,K.Q. Li , J.Q. Wang, Complexity Analysis of Green Light Optimal Velocity Problem: An NP-complete Result for Binary Speed Choices (Best Paper Award), in 14th Intelligent Transportation Systems Asia Pacific Forum; 2015; accepted. Link
  5. Y. Zheng , S. E. Li, , J.Q. Wang, L.Y. Wang , and K. Q. Li, Influence of Information Flow Topology on Closed-loop Stability of Vehicle Platoon with Rigid Formation (Best Student Paper Award), in 17th International IEEE conference on Intelligent Transportation Systems, pp. 2094-2100, 2014., Link
  6. Y. Zheng , J.Q. Wang, X.F. Li ,C.F. Yu, K. Kodaka, and K.Q. Li , Driving Risk Assessment using Cluster Analysis based on Naturalistic Driving Data , in 17th International IEEE conference on Intelligent Transportation Systems; pp. 2584-2589, 2014. Link
  7. S. E. Li*, Y. Zheng*, K.Q. Li , J.Q. Wang, An Overview of Vehicular Platoon Control under the Four-component Framework, in 26th Intelligent Vehicle Symposium, IEEE proceedings, pp. 286-291, 2015. Link (* contributed equally to this work)
  8. S. E. Li, Y. Zheng, K.Q. Li , J.Q. Wang, Scalability Limitation of Homogeneous Vehicular Platoon under Undirected Information Flow Topology and Constant Spacing Policy, 34th Chinese Control Conference (CCC), IEEE, pp.8039-8045, 2015. Link

Master Thesis

Dynamic Modeling and Distributed Control of Vehicular Platoon under the Four-Component Framework (in Chinese) Link
基于四元素构架的车辆队列动力学建模与分布式控制
Yang Zheng
Tsinghua University, 2015
Abstract
Vehicular platoon has potential to singnificantly mitigate traffic congestion, enhance road safety and improve fuel economy. Many existing research only focus on designning tools to analyze a specific vehicular platoon with single communication topology, which lacks a general framework to handle platoons with different information flow topologies. To address aforementioned issue, this thesis proposes a four-component framework for vehicular platoon, and within such framework the closed-loop stability and robust performance are discussed for linear homogenesous platoons. Besides, this thesis further introduces a design process of distributed model predictive control (DMPC) to deal with nonlinear heterogeneous platoons. The results in this thesis can provide tools and lay foundation to address performance analysis and controller design for vechculiar platoons with different information flow topologies.

Contact Info.

  • Email: yang.zheng@eng.ox.ac.uk
  • Department Address: Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, U.K.
  • College Address: Balliol College, Oxford OX1 3BJ, U.K.