New results on robust filtering design for continuous-time nonlinear systems via T-S fuzzy affine dynamic models. - Hui Tian; Jianbin Qiu; Huijun Gao; Qiugang Lu (ICARCV, 2012)

Analysis and synthesis for networked control systems with uncertain rate of packet losses. - Qiugang Lu; Lixian Zhang; Michael V. Basin; Hui Tian (J. Frankl. Inst., 2012)

Stability analysis and controller design for a class of T-S fuzzy Markov jump system with uncertain expectation of packet dropouts. - Qiugang Lu; Lixian Zhang; Qingrui Zhang; Hamid Reza Karimi (ACC, 2013)

Data-based modeling of vehicle collision by LPV-ARMAX model approach. - Qiugang Lu; Witold Pawlus; Hamid Reza Karimi; Kjell Gunnar Robbersmyr (ASCC, 2013)

Reference tracking control of hypersonic vehicles using switched linear parameter-varying approach. - Qiugang Lu; Lixian Zhang; Peng Shi 001; Hamid Reza Karimi (ICCA, 2013)

A Data-Based Approach for Modeling and Analysis of Vehicle Collision by LPV-ARMAX Models. - Qiugang Lu; Hamid Reza Karimi; Kjell Gunnar Robbersmyr (J. Appl. Math., 2013)

Control design for a hypersonic aircraft using a switched linear parameter-varying system approach. - Qiugang Lu; Lixian Zhang; Peng Shi 001; Hamid Reza Karimi (J. Syst. Control. Eng., 2013)

Nonsynchronized Robust Filtering Design for Continuous-Time T-S Fuzzy Affine Dynamic Systems Based on Piecewise Lyapunov Functions. - Jianbin Qiu; Hui Tian; Qiugang Lu; Huijun Gao (IEEE Trans. Cybern., 2013)

Cross-directional controller performance monitoring for paper machines. - Qiugang Lu; Lee D. Rippon; R. Bhushan Gopaluni; Michael G. Forbes; Philip D. Loewen; Johan U. Backström; Guy Albert Dumont (ACC, 2015)

Detecting model-plant mismatch without external excitation. - Mahdi Yousefi; Qiugang Lu; R. Bhushan Gopaluni; Philip D. Loewen; Michael G. Forbes; Guy Albert Dumont; Johan U. Backström (ACC, 2015)

Economic nonlinear model predictive control for mechanical pulping processes. - Hui Tian; Qiugang Lu; R. Bhushan Gopaluni; Victor M. Zavala; James A. Olson (ACC, 2016)

Multiobjective economic model predictive control of mechanical pulping processes. - Hui Tian; Qiugang Lu; R. Bhushan Gopaluni; Victor M. Zavala (CDC, 2016)

Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines. - Qiugang Lu; Lee D. Rippon; R. Bhushan Gopaluni; Michael G. Forbes; Philip D. Loewen; Johan U. Backström; Guy Albert Dumont (ACC, 2017)

Performance Assessment of Cross-Directional Control for Paper Machines. - Qiugang Lu; Michael G. Forbes; R. Bhushan Gopaluni; Philip D. Loewen; Johan U. Backström; Guy Albert Dumont (IEEE Trans. Control. Syst. Technol., 2017)

Locality preserving discriminative canonical variate analysis for fault diagnosis. - Qiugang Lu; Benben Jiang; R. Bhushan Gopaluni; Philip D. Loewen; Richard D. Braatz (Comput. Chem. Eng., 2018)

Identification of symmetric noncausal processes. - Qiugang Lu; Philip D. Loewen; R. Bhushan Gopaluni; Michael G. Forbes; Johan U. Backström; Guy Albert Dumont; Michael S. Davies (Autom., 2019)

Maximized Mutual Information Analysis Based on Stochastic Representation for Process Monitoring. - Benben Jiang; Yi Luo; Qiugang Lu (IEEE Trans. Ind. Informatics, 2019)

Support vector machine approach for model-plant mismatch detection. - Qiugang Lu; Michael G. Forbes; Philip D. Loewen; Johan U. Backström; Guy Albert Dumont; R. Bhushan Gopaluni (Comput. Chem. Eng., 2020)

Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. - Qiugang Lu; Sungho Shin; Victor M. Zavala (CoRR, 2020)

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. - Sungho Shin; Qiugang Lu; Victor M. Zavala (CoRR, 2020)

Image-Based Model Predictive Control via Dynamic Mode Decomposition. - Qiugang Lu; Victor M. Zavala (CoRR, 2020)

MPC Controller Tuning using Bayesian Optimization Techniques. - Qiugang Lu; Ranjeet Kumar; Victor M. Zavala (CoRR, 2020)

Bayesian optimization with reference models: A case study in MPC for HVAC central plants. - Qiugang Lu; Leonardo D. González; Ranjeet Kumar; Victor M. Zavala (Comput. Chem. Eng., 2021)

Stability-Preserving Automatic Tuning of PID Control with Reinforcement Learning. - Ayub I. Lakhani; Myisha A. Chowdhury; Qiugang Lu (CoRR, 2021)

Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback-Leibler Divergence. - Qiugang Lu; Benben Jiang; Eranda Harinath (IEEE Trans. Control. Syst. Technol., 2021)

Fault Detection in Industrial Systems Using Maximized Divergence Analysis Approach. - Benben Jiang; Qiugang Lu (IEEE Access, 2022)

Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. - Yun Li; Yixiu Wang; Yifu Chen; Kaixun Hua; Jiayang Ren; Ghazaleh Mozafari; Qiugang Lu; Yankai Cao (CoRR, 2022)

Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes. - Qiugang Lu; Saif S. S. Al-Wahaibi (CoRR, 2022)

Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features. - Saif S. S. Al-Wahaibi; Qiugang Lu (ACC, 2023)

A Novel Entropy-Maximizing TD3-based Reinforcement Learning for Automatic PID Tuning. - Myisha A. Chowdhury; Qiugang Lu (ACC, 2023)

Improving convolutional neural networks for fault diagnosis in chemical processes by incorporating global correlations. - Saif S. S. Al-Wahaibi; Samuel Abiola; Myisha A. Chowdhury; Qiugang Lu (Comput. Chem. Eng., 2023)

Entropy-maximizing TD3-based reinforcement learning for adaptive PID control of dynamical systems. - Myisha A. Chowdhury; Saif S. S. Al-Wahaibi; Qiugang Lu (Comput. Chem. Eng., 2023)

Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols. - Myisha A. Chowdhury; Saif S. S. Al-Wahaibi; Qiugang Lu (CoRR, 2024)

Transformer-based Capacity Prediction for Lithium-ion Batteries with Data Augmentation. - Gift Modekwe; Salim Al Wahaibi; Qiugang Lu (CoRR, 2024)

Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries. - Yuhan Hao; Qiugang Lu; Xizhe Wang; Benben Jiang (IEEE Trans. Ind. Informatics, 2024)

Equivalent-Circuit Thermal Model for Batteries with One-Shot Parameter Identification. - Myisha A. Chowdhury; Qiugang Lu (ACC, 2025)

Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration. - Myisha A. Chowdhury; Gift Modekwe; Qiugang Lu (ACC, 2025)

Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network. - Benben Jiang; Yixing Wang; Zhenghua Ma; Qiugang Lu (IEEE Trans Autom. Sci. Eng., 2025)

Heterogenous architected materials: enhancing mechanical performance through multi-objective optimization. - Amit Arefin; Nava Khatri; A K M Ahasun Habib; Qiugang Lu; Alexander Idesman; Paul F. Egan (Eng. Comput., 2025)