| Consensus stabilization in stochastic multi-agent systems with Markovian switching topology, noises and delay P Ming, J Liu, S Tan, S Li, L Shang, X Yu Neurocomputing 200, 1-10, 2016 | 45 | 2016 |
| Consensus stabilization of stochastic multi-agent system with Markovian switching topologies and stochastic communication noise P Ming, J Liu, S Tan, G Wang, L Shang, C Jia Journal of the Franklin Institute 352 (9), 3684-3700, 2015 | 44 | 2015 |
| Stable recursive canonical variate state space modeling for time-varying processes L Shang, J Liu, K Turksoy, QM Shao, A Cinar Control Engineering Practice 36, 113-119, 2015 | 38 | 2015 |
| Recursive fault detection and identification for time-varying processes L Shang, J Liu, Y Zhang Industrial & Engineering Chemistry Research 55 (46), 12149-12160, 2016 | 32 | 2016 |
| Modeling of HVAC systems for fault diagnosis A Qiu, Z Yan, Q Deng, J Liu, L Shang, J Wu IEEE Access 8, 146248-146262, 2020 | 27 | 2020 |
| Fault detection based on diffusion maps and k nearest neighbor diffusion distance of feature space G Wang, J Liu, Y Li, L Shang Journal of Chemical Engineering of Japan 48 (9), 756-765, 2015 | 23 | 2015 |
| Efficient recursive kernel canonical variate analysis for monitoring nonlinear time‐varying processes L Shang, J Liu, Y Zhang The Canadian Journal of Chemical Engineering 96 (1), 205-214, 2018 | 21 | 2018 |
| Efficient recursive canonical variate analysis approach for monitoring time‐varying processes L Shang, J Liu, Y Zhang, G Wang Journal of Chemometrics 31 (1), e2858, 2017 | 18 | 2017 |
| Industrial process fault detection and diagnosis framework based on enhanced supervised kernel entropy component analysis P Xu, J Liu, L Shang, W Zhang Measurement 196, 111181, 2022 | 14 | 2022 |
| Canonical variate nonlinear principal component analysis for monitoring nonlinear dynamic processes L Shang, A Qiu, P Xu, F Yu Journal of Chemical Engineering of Japan 55 (1), 29-37, 2022 | 11 | 2022 |
| Recursive ensemble canonical variate analysis for online incipient fault detection in dynamic processes L Shang, Y Gu, Y Tang, H Fu, L Hua Measurement 220, 113411, 2023 | 10 | 2023 |
| Fault detection and identification based on explicit polynomial mapping and combined statistic in nonlinear dynamic processes LH Liangliang Shang, Kexin Shi, Chen Ma, Aibing Qiu IEEE Access 9 (149050-149066), 2021 | 9 | 2021 |
| Hybrid divergence based on mean absolute scaled error for incipient fault detection Y Tang, L Shang, R Zhang, J Li, H Fu Engineering Applications of Artificial Intelligence 129, 107662, 2024 | 6 | 2024 |
| Closed-loop time-varying continuous-time recursive subspace-based prediction via principle angles rotation M Yu, G Guo, J Liu, L Shang ISA transactions 122, 135-145, 2022 | 6 | 2022 |
| Canonical residual based incipient fault detection method for industrial process L Shang, Z Yan, J Li, A Qiu, H Zhang 2020 Chinese Control And Decision Conference (CCDC), 987-992, 2020 | 6 | 2020 |
| 基于 KECA 的非线性工业过程故障检测与诊断新方法 邓明月， 刘建昌， 许鹏， 谭树彬， 商亮亮 化工学报 71 (5), 2151-2163, 2020 | 5 | 2020 |
| Soft sensor modeling for multimode process based on adaptive efficient recursive canonical variate analysis L SHANG, J Liu, S Tan Control Theory Applications 33 (03), 380-3, 2016 | 5 | 2016 |
| Feature learning based on entropy estimation density peak clustering and stacked autoencoder for industrial process monitoring F Yu, J Liu, D Liu, H Wang, L Shang The Canadian Journal of Chemical Engineering 101 (7), 3998-4015, 2023 | 3 | 2023 |
| Incipient Fault Detection Based on Kolmogorov-Smironv Test J Pan, F Zhang, P Li, Y Tang, Y Gu, L Shang 2022 34th Chinese Control and Decision Conference (CCDC), 4053-4058, 2022 | 3 | 2022 |
| 基于改进 PCA 空调系统传感器故障检测与诊断 单彪， 堵俊， 商亮亮 控制工程 27 (4), 765, 2020 | 3 | 2020 |
Ali CinarIllinois Institute of Technology在 iit.edu 的电子邮件经过验证
Ali CinarIllinois Institute of Technology在 iit.edu 的电子邮件经过验证
Kamuran TurksoyMedtronic Diabetes在 iit.edu 的电子邮件经过验证