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Publications  

Book Chapters

  1. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu and D. Filev. “H∞ filtering for cloud-aided semi-active suspension with delayed road information,” Advances in Delays and Dynamics, Springer, 2017. [PDF]

  2. K. Deng, S.-E. Li, S. Li, Z. Li. “Aggregation-based Thermal Model Reduction,” Automotive Air Conditioning, Springer,2016. [PDF]

Journal Papers

  1. Z. Li, I. Kolmanovsky, U. Kalabic, E. Atkins, J. Lu and D. Filev. “Optimal state estimation for systems driven by Jump-Diffusion process with application to road anomaly detection,” IEEE Transactions on Control System Technology, 25(5): 1634-1643, 2017. [PDF]

  2. Z. Li, D. Filev, I. Kolmanovsky, E. Atkins and J. Lu, “A new clustering algorithm for processing GPS-based road anomaly reports with a Mahalanobis distance,” IEEE Transactions on Intelligent Transportation Systems, 18(7): 1980-1988, 2017. [PDF]

  3. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu, D. Filev and Y. Bai, “Road disturbance estimation and cloud-aided comfort-based route planning,” IEEE Transactions on Cybernetics, to appear in 2017. [PDF]

  4. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu, D. Filev and J. Michelini, “Road risk modeling and cloud-aided safety-based route planning,” IEEE Transactions on Cybernetics, 46(11): 2473-2483, 2015. [PDF]

  5. Z. Li, S. Bao, I. Kolmanovsky, and X. Yin. “Visual-manual distraction detection using driving performance indicators with naturalistic driving data,” IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2017.2754467. [PDF]

  6. Z. Li, T. Chu, I. Kolmanovsky and X. Yin. “Training drift counteraction optimal control policies using reinforcement learning: An adaptive cruise control example,” IEEE Transactions on Intelligent Transportation Systems, to appear in 2018, DOI:10.1109/TITS.2017.2767083.

  7. Z. Li, T. Chu, I. Kolmanovsky, X. Yin, and X.-Y. Yin, “Cloud Resource Allocation for Cloud-Based Automotive Applications,” Mechatronics, 50: 256-365, 2017.

  8. X. Yin and Z. Li. “Decentralized fault prognosis of discrete event systems with guaranteed performance bound,” Automatica, 69: 375-379, 2016. [PDF]

  9. X. Yin and Z. Li. “Reliable decentralized fault prognosis of discrete-event systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, to appear in 2016. [PDF]

  10. X. -Y. Yin, L. Zhang, Y. Zhu, C. Wang, and Z. Li “Robust control of networked systems with variable communication capabilities and application to a semi-active suspension system,” IEEE Transactions on Mechatronics, 21(4): 2097-2107, 2016. [PDF]

  11. X. Yin, Z. Li, L. Zhang, and M. Han. “ Distributed state estimation of sensor-network systems subject to Markovian channel switching with application to a chemical process",,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Accepted, DOI: 10.1109/TSMC.2016.2632155.

  12. X. Yin and Z. Li. “Decentralized Fault Prognosis of Discrete-Event Systems using Intersection-Based Protocol,” IEEE Transactions on Cybernetics, To appear. DOI:10.1109/TCYB.2018.2799961

  13. X. -Y. Yin, Z. Li, L. Zhang, C. Wang, W. Shammakh, and B. Ahmad. “ Model reduction of a class of Markov jump nonlinear systems with time-varying delays via projection approach,” Neural Computing, 166(1), pp. 436-446. [PDF]

  14. X. Yin, Z. Li and W. Wang. “Trajectory Detectability of Discrete-Event Systems,” System Control Letters, under review, 2017.

  15. X. Yin, J. Chen, Z. Li and S. Li. “Robust Fault Diagnosis of Stochastic Discrete Event Systems,” IEEE Transactions on Automatic Control, under review.

  16. X.-Y. Yin, Z. Li and I. Kolmanovsky. “Distributed State Estimation for Large-Scale Linear Systems With Application to Cloud-Aided Full-Car Active Suspension Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, under review.

  17. Z. Li, Z. -Y. Zhou and N. Bambos. “Resource Allocation for Cloud-Enabled Automotive Vehicles with a Hierarchical Model,” Automatica, in preparation, 2018.

  18. Z. Li, D. Filev, Y. Wang, and J. Wang. “Online Nonlinear System Identification for Automotive Engine Systems with Evolving Spatial-Temporal Filters,” IEEE Transactions on Control System Technology, in preparation, 2018.

Peer-Reviewed Conference Papers

  1. Z. Li, H. Ossareh, I. Kolmanovsky, E. Atkins and J. Lu. “Nonlinear control of semi-active suspension systems: A Quasi-linear approach,” in American Control Conference, pp. 2397-2402, 2016. [PDF]

  2. Z. Li, U. Kalabic, I. Kolmanovsky, E. Atkins, J. Lu and D. Filev. “Simultaneous road profile estimation and anomaly detection with an input observer and a jump diffusion process estimator,” in American Control Conference, pp. 1693-1698, 2016. [PDF]

  3. Z. Li, X. -Y. Yin, I. Kolmanovsky, J. Lu, D. Filev and E. Atkins. “Robust H-infinity control for a class of networked uncertain systems with multiple channels subject to Markovian switching,” in 54th IEEE Conference on Decision and Control, pp. 7410-7415, 2015. [PDF]

  4. Z. Li, X. -Y. Yin, X. Yin and C. Wang. “Distributed H-infinity filtering over multiple-channel sensor networks with Markovian channel switching,” in 54th IEEE Conference on Decision and Control, pp. 7410-7415, 2015. [PDF]

  5. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu and D. Filev. “Road anomaly estimation: Model based pothole detection,” in American Control Conference, pp. 1315-1320, 2015. [PDF]

  6. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu and D. Filev. “H-infinity filtering for cloud-aided suspension control with tiem delays,” in IFAC Workshop on Time Delay Systems, pp. 275-280, 2015. [PDF]

  7. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu and D. Filev. “Cloud aided semi-active suspension control,” IEEE Symposium on CIVTS, pp. 76-83, 2014. [PDF]

  8. Z. Li, I. Kolmanovsky, E. Atkins, J. Lu and D. Filev. “Cloud aided safety-based route planning,” IEEE Conference on SMC, pp. 2495-2500, 2014. [PDF]

  9. X. Yin, Z. Li, S. Shah, L. Zhang and C. Wang. “ Fuel efficiency modeling and prediction for automotive vehicles: A data-driven approach,” in IEEE Conference on SMC, pp. 2527-2532, 2014. [PDF]

  10. X. Yin, Z. Li, W. Wang and S. Li. “Infinite-step opacity of stochastic discrete-event systems,” in 2017 Asian Control Conference, pp. 102-107.

  11. Z. Li, D. Filev. “Nonlinear System Identification with Evolving Spatial-Temporal Filters,” in 2018 American Control Conference, to appear.

  12. Z. Li, U. Kalabic and T. Chu. “Towards Safe Reinforcement Learning: Learning with an admissible Set,” in 2018 American Control Conference, to appear.