Xiangru Xu Assistant Professor Dr. Xiangru Xu directs the UW Autonomous & Resilient Controls Laboratory (ARC Lab) which aims to develop principled analysis and control methodologies for building trustworthy autonomous intelligent systems. Department Mechanical Engineering Contact 2035 ME, Mechanical Engineering Bldg 1513 University Ave Madison, WI e: xiangru.xu@wisc.edu Featured news With NSF CAREER Award, Xiangru Xu aims to improve safety of autonomous systems May 24, 2023 Focus on new faculty: Xiangru Xu, bringing autonomous systems under control December 4, 2019 View more articles with Xiangru Xu Professor Xiangru Xu, Mechanical Engineering, University of Wisconsin-Madison Close Video Education PhD 2014, Institute of Systems Science, Chinese Academy of SciencesBS 2009, Dept. of Mathematics, Beijing Normal University Research interests Control theoryAutonomyCyber-physical systemsArtificial Intelligence Additional College of Engineering affiliations Electrical & Computer Engineering Awards 2023 National Science Foundation, NSF CAREER Award2022 Univ. of Wisconsin-Madison, Hilldale Undergraduate/Faculty Research Fellowship2019 IEEE Trans. on Autom. Sci. and Eng, Best New Application Paper Award2014 Chinese Academy of Sciences, Outstanding Graduate2013 The Ministry of Education of China, National Doctoral Scholarship2006 Beijing Normal University, Merit-based Scholarship2005 Beijing Normal University, Merit-based Scholarship2005 Beijing Normal University, Merit-based Scholarship Recent publications Ashokkumar, S., Jayendra, A., Tobin, S., Leykin, A., Stegeman, R., Dashora, A., Look, B., Koenig, J., Hu, B., Crooks, M., Mahajan, I., Boopathy, P., Krishnakumar, M., Batagoda, N., Wang, H., Young, A., Freire, V., Bower, G., Xu, X., & Negrut, D. (2024). Rapid Development of an Autonomous Vehicle for the SAE AutoDrive Challenge II Competition. In WCX SAE World Congress Experience. SAE https://doi.org/10.4271/2024-01-1980Wang, Y., & Xu, X. (2024). Adaptive Safety-Critical Control for a Class of Nonlinear Systems with Parametric Uncertainties: A Control Barrier Function Approach. Systems & Control Letters, 188, 105798 https://doi.org/10.1016/j.sysconle.2024.105798Lyu, Z., Xu, X., & Hong, Y. (2024). Small-Gain Theorem for Safety Verification under High-Relative-Degree Constraints. IEEE Transactions on Automatic Control, 69(6), 3717--3731 https://doi.org/10.1109/TAC.2023.3317315Zhang, H., Caldararu, S., Hansen, T., Chatterjee, S., Batagoda, N., Mahajan, I., Ashokkumar, S., Young, A., Fang, L., Shen, H., Xu, X., & Negrut, D. (2023). A Case Study of the Sim-to-Real Gap When Designing PID and MPC Controllers in Simulation. In ECCOMAS Thematic Conference on Multibody Dynamics.Wang, Y., & Xu, X. (2023). Disturbance Observer-based Robust Control Barrier Functions. In American Control Conference (pp. 3681–3687). IEEE https://doi.org/10.23919/ACC55779.2023.10156095Zhang, Y., & Xu, X. (2023). Reachability Analysis and Safety Verification of Neural Feedback Systems via Hybrid Zonotopes. In American Control Conference (p. 1915-1921). IEEE https://doi.org/10.23919/ACC55779.2023.10156417Wang, Y., & Xu, X. (2023). Safe Control of Euler-Lagrange Systems with Limited Model Information. In IEEE Conference on Decision and Control (pp. 5722–5728). IEEE https://doi.org/10.1109/CDC49753.2023.10384132Zhang, H., Caldararu, S., Mahajan, I., Chatterjee, S., Hansen, T., Dashora, A., Ashokkumar, S., Fang, L., Xu, X., He, S., & Negrut, D. (2023). Using simulation to design an MPC policy for field navigation using GPS sensing. In ECCOMAS Thematic Conference on Multibody Dynamics.Zhang, Y., Zhang, H., & Xu, X. (2023). Backward Reachability Analysis of Neural Feedback Systems Using Hybrid Zonotopes. IEEE Control Systems Letters, 7, 2779--2784 https://doi.org/10.1109/LCSYS.2023.3289572Freire, V., & Xu, X. (2023). Flatness-based Quadcopter Trajectory Generation and Tracking with Continuous-time Safe Guarantees. IEEE Transactions on Control System Technology, 31(6), 2319--2334 https://doi.org/10.1109/TCST.2023.3250954 Courses E C E 790 - Master's Research (Spring 2025)M E 351 - Interdisciplinary Experiential Design Projects I (Spring 2025)M E 489 - Honors in Research (Spring 2025)M E 790 - Master's Research and Thesis (Spring 2025)M E 890 - PhD Research and Thesis (Spring 2025)M E 990 - Dissertator Research and Thesis (Spring 2025)E C E 790 - Master's Research (Fall 2024)M E 340 - Dynamic Systems (Fall 2024)M E 352 - Interdisciplinary Experiential Design Projects II (Fall 2024)M E 790 - Master's Research and Thesis (Fall 2024)M E 890 - PhD Research and Thesis (Fall 2024)M E 790 - Master's Research and Thesis (Summer 2024)M E 890 - PhD Research and Thesis (Summer 2024)E C E 399 - Independent Study (Spring 2024)M E 351 - Interdisciplinary Experiential Design Projects I (Spring 2024)M E 601 - Special Topics in Mechanical Engineering (Spring 2024)M E 790 - Master's Research and Thesis (Spring 2024)M E 890 - PhD Research and Thesis (Spring 2024)E C E 399 - Independent Study (Fall 2023)M E 340 - Dynamic Systems (Fall 2023)M E 352 - Interdisciplinary Experiential Design Projects II (Fall 2023)M E 699 - Advanced Independent Study (Fall 2023)M E 790 - Master's Research and Thesis (Fall 2023)M E 890 - PhD Research and Thesis (Fall 2023)E C E 399 - Independent Study (Summer 2023)M E 790 - Master's Research and Thesis (Summer 2023)M E 890 - PhD Research and Thesis (Summer 2023)