Multi-agent deep reinforcement learning for large-scale traffic signal control T Chu, J Wang, L Codecą, Z Li IEEE Transactions on Intelligent Transportation Systems 21 (3), 1086-1095, 2019 | 84 | 2019 |
Distributed state estimation of sensor-network systems subject to Markovian channel switching with application to a chemical process X Yin, Z Li, L Zhang, M Han IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (6), 864-874, 2016 | 66 | 2016 |
Robust control of networked systems with variable communication capabilities and application to a semi-active suspension system X Yin, L Zhang, Y Zhu, C Wang, Z Li IEEE/ASME Transactions on Mechatronics 21 (4), 2097-2107, 2016 | 65 | 2016 |
Road risk modeling and cloud-aided safety-based route planning Z Li, I Kolmanovsky, E Atkins, J Lu, DP Filev, J Michelini IEEE transactions on cybernetics 46 (11), 2473-2483, 2015 | 46 | 2015 |
Road disturbance estimation and cloud-aided comfort-based route planning Z Li, IV Kolmanovsky, EM Atkins, J Lu, DP Filev, Y Bai IEEE transactions on cybernetics 47 (11), 3879-3891, 2016 | 42 | 2016 |
Decentralized fault prognosis of discrete event systems with guaranteed performance bound X Yin, Z Li Automatica 69, 375-379, 2016 | 40 | 2016 |
Cloud aided semi-active suspension control Z Li, I Kolmanovsky, E Atkins, J Lu, D Filev, J Michelini 2014 IEEE Symposium on Computational Intelligence in Vehicles and …, 2014 | 39 | 2014 |
Infinite-step opacity and K-step opacity of stochastic discrete-event systems X Yin, Z Li, W Wang, S Li Automatica 99, 266-274, 2019 | 28 | 2019 |
Reliable decentralized fault prognosis of discrete-event systems X Yin, Z Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (11), 1598-1603, 2015 | 28 | 2015 |
Visual-manual distraction detection using driving performance indicators with naturalistic driving data Z Li, S Bao, IV Kolmanovsky, X Yin IEEE Transactions on Intelligent Transportation Systems 19 (8), 2528-2535, 2017 | 26 | 2017 |
A new clustering algorithm for processing GPS-based road anomaly reports with a mahalanobis distance Z Li, DP Filev, I Kolmanovsky, E Atkins, J Lu IEEE Transactions on Intelligent Transportation Systems 18 (7), 1980-1988, 2016 | 23 | 2016 |
Cloud aided safety-based route planning Z Li, I Kolmanovsky, E Atkins, J Lu, D Filev, J Michelini 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 19 | 2014 |
H∞ filtering for cloud-aided semi-active suspension with delayed road information Z Li, I Kolmanovsky, E Atkins, J Lu, D Filev IFAC-PapersOnLine 48 (12), 275-280, 2015 | 18 | 2015 |
Model reduction of a class of Markov jump nonlinear systems with time-varying delays via projection approach X Yin, Z Li, L Zhang, C Wang, W Shammakh, B Ahmad Neurocomputing 166, 436-446, 2015 | 16 | 2015 |
Road anomaly estimation: Model based pothole detection Z Li, I Kolmanovsky, E Atkins, J Lu, D Filev 2015 American Control Conference (ACC), 1315-1320, 2015 | 16 | 2015 |
Cloud resource allocation for cloud-based automotive applications Z Li, T Chu, IV Kolmanovsky, X Yin, X Yin Mechatronics 50, 356-365, 2018 | 14 | 2018 |
Optimal state estimation for systems driven by jump–diffusion process with application to road anomaly detection Z Li, IV Kolmanovsky, UV Kalabić, EM Atkins, J Lu, DP Filev IEEE Transactions on Control Systems Technology 25 (5), 1634-1643, 2016 | 14 | 2016 |
Decentralized fault prognosis of discrete-event systems using state-estimate-based protocols X Yin, Z Li IEEE transactions on cybernetics 49 (4), 1302-1313, 2018 | 11 | 2018 |
Simultaneous road profile estimation and anomaly detection with an input observer and a jump diffusion process estimator Z Li, UV Kalabić, IV Kolmanovsky, EM Atkins, J Lu, DP Filev 2016 American Control Conference (ACC), 1693-1698, 2016 | 11 | 2016 |
Safe reinforcement learning: Learning with supervision using a constraint-admissible set Z Li, U Kalabić, T Chu 2018 Annual American Control Conference (ACC), 6390-6395, 2018 | 10 | 2018 |