| Nonsynchronized robust filtering design for continuous-time T–S fuzzy affine dynamic systems based on piecewise Lyapunov functions J Qiu, H Tian, Q Lu, H Gao IEEE Transactions on Cybernetics 43 (6), 1755-1766, 2013 | 162 | 2013 |
| Time-dependent switched discrete-time linear systems: Control and filtering L Zhang, Y Zhu, P Shi, Q Lu Springer International Publishing, 2016 | 99 | 2016 |
| ℋ∞ control for asynchronously switched linear parameter‐varying systems with mode‐dependent average dwell time Q Lu, L Zhang, HR Karimi, Y Shi IET Control Theory & Applications 7 (5), 673-683, 2013 | 64 | 2013 |
| Bayesian optimization with reference models: A case study in MPC for HVAC central plants Q Lu, LD González, R Kumar, VM Zavala Computers & Chemical Engineering 154, 107491, 2021 | 49 | 2021 |
| Control design for a hypersonic aircraft using a switched linear parameter-varying system approach Q Lu, L Zhang, P Shi, HR Karimi Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2013 | 48 | 2013 |
| Analysis and synthesis for networked control systems with uncertain rate of packet losses Q Lu, L Zhang, M Basin, H Tian Journal of the Franklin Institute 349 (7), 2500-2514, 2012 | 47 | 2012 |
| Sparse canonical variate analysis approach for process monitoring Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz Journal of Process Control 71, 90-102, 2018 | 42 | 2018 |
| MPC controller tuning using Bayesian optimization techniques Q Lu, R Kumar, VM Zavala arXiv preprint arXiv:2009.14175, 2020 | 40 | 2020 |
| Locality preserving discriminative canonical variate analysis for fault diagnosis Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz Computers & Chemical Engineering 117, 309-319, 2018 | 33 | 2018 |
| An economic model predictive control framework for mechanical pulping processes H Tian, Q Lu, RB Gopaluni, VM Zavala, JA Olson Control Engineering Practice 85, 100-109, 2019 | 28 | 2019 |
| Stability-Preserving Automatic Tuning of PID Control with Reinforcement Learning AI Lakhani, MA Chowdhury, Q Lu Complex Engineering Systems, 2021 | 21 | 2021 |
| Image-based model predictive control via dynamic mode decomposition Q Lu, VM Zavala Journal of Process Control 104, 146-157, 2021 | 21 | 2021 |
| Maximized mutual information analysis based on stochastic representation for process monitoring B Jiang, Y Luo, Q Lu IEEE Transactions on Industrial Informatics 15 (3), 1579-1587, 2018 | 19 | 2018 |
| Fault diagnosis in industrial processes by maximizing pairwise Kullback–Leibler divergence Q Lu, B Jiang, E Harinath IEEE Transactions on Control Systems Technology 29 (2), 780-785, 2019 | 18 | 2019 |
| Entropy-maximizing TD3-based reinforcement learning for adaptive PID control of dynamical systems MA Chowdhury, SSS Al-Wahaibi, Q Lu Computers & Chemical Engineering 178, 108393, 2023 | 15 | 2023 |
| Performance assessment of cross-directional control for paper machines Q Lu, MG Forbes, RB Gopaluni, PD Loewen, JU Backström, GA Dumont IEEE Transactions on Control Systems Technology 25 (1), 208-221, 2016 | 14 | 2016 |
| Adaptive model-based reinforcement learning for fast-charging optimization of lithium-ion batteries Y Hao, Q Lu, X Wang, B Jiang IEEE Transactions on Industrial Informatics 20 (1), 127-137, 2023 | 12 | 2023 |
| Support vector machine approach for model-plant mismatch detection Q Lu, MG Forbes, PD Loewen, JU Backström, GA Dumont, RB Gopaluni Computers & Chemical Engineering 133, 106660, 2020 | 12 | 2020 |
| A data‐based approach for modeling and analysis of vehicle collision by LPV‐ARMAX models Q Lu, HR Karimi, KG Robbersmyr Journal of Applied Mathematics 2013 (1), 452391, 2013 | 10 | 2013 |
| Machine direction adaptive control on a paper machine LD Rippon, Q Lu, MG Forbes, RB Gopaluni, PD Loewen, JU Backström Industrial & Engineering Chemistry Research 58 (26), 11452-11473, 2019 | 9 | 2019 |
