Journal papers
2025
Z Ning, P Colaneri, X Yin. Stability Analysis and Stabilization of Semi-Markov Jump Linear Systems With Improved Efficiency of Probabilistic Information Utilization. IEEE Transactions on Automatic Control, in press
D.-N. Vo, M. Qi, C.-H. Lee, X. Yin. Advanced integration strategies and machine learning-based superstructure optimization for Power-to-Methanol. Applied Energy, 378:124731, 2025
L Wu, X Yin, L Pan, J Liu. Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems. Applied Energy, in press
2024
D.-N. Vo, X Zhang, K. W. Huang, X. Yin. Advanced Designs and Optimization for Efficiently Enhancing Shipboard CO2 Capture. Industrial & Engineering Chemistry Research, in press
X. Zhang, K. Zhang, Z. Li, X. Yin. Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning. AIChE Journal, in press
M. Yan, M. Han, A. W.-K. Law, X. Yin. Self‐tuning moving horizon estimation of nonlinear systems via physics‐informed machine learning Koopman modeling. AIChE Journal, e18649, 2024
J. Li, D. Chen, X. Yin, Z. Li. Performance evaluation of semi-supervised learning frameworks for multi-class weed detection. Frontiers in Plant Science, 15:1396568, 2024
Z. Li, M. Han, D.-N. Vo, X. Yin. Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes. Computers & Chemical Engineering, 191:108854, 2024
Y. Chen, X. Yin, R. Zhang, F. Gao. Reinforced convolutional neural network fault diagnosis of industrial production systems. Chemical Engineering Science. 299:120466, 2024
M. Han, J. Yao, A. W.-K. Law, X. Yin. Efficient economic model predictive control of water treatment process with learning-based Koopman operator. Control Engineering Practice. 149:105975, 2024 (Emerging Leaders in Control Engineering Practice series)
K. Li, X. Li, X. Yin, S. Zhao, B. Huang, F. Liu. Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics. Computers & Chemical Engineering. 189:108811, 2024
J. Li, M. Xu, L. Xiang, D. Chen, W. Zhuang, X. Yin, Z. Li. Foundation models in smart agriculture: Basics, opportunities, and challenges. Computers and Electronics in Agriculture. 222:109032, 2024
X. Li, X. Yin. Approximating arrival costs in distributed moving horizon estimation: A recursive method. Chemical Engineering Research and Design, 207:539-550, 2024
S. Wang, X. Yin, S. Li, X. Yin. Tractable reinforcement learning for signal temporal logic tasks with counterfactual experience replay. IEEE Control Systems Letters. 8:616-621, 2024
R. Wu, Y. Yuan, Y. Xiao, B. Luo, X. Yin, X. Xu, T. Huang, W. Gui. Event-triggered robust fault-tolerant control of a class of Euler–Bernoulli beam equations via sliding mode control. Nonlinear Dynamics, 1-16, 2024
D. Chen, K. Zhang, Y. Wang, X. Yin, Z. Li, D. Filev. Communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control. IEEE Transactions on Intelligent Vehicles, 2024
X. Li, S. Bo, X. Zhang, Y. Qin, X. Yin. Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes. AIChE Journal, 70(3):e18326, 2024
M. Han, Z. Li, X. Yin, X. Yin. Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators. IEEE Transactions on Industrial Informatics. 20(3):4675-4684, 2024
Z. Ning, G. Feng, X. Yin. Asynchronous quantized control of piecewise-affine systems. IEEE Transactions on Automatic Control, 69(1):503-510, 2024
C. Liu, Y. Wang, C. Yang, H. Leung, X. Yin. Adaptive attention-driven manifold regularization for deep learning networks: Industrial predictive modeling applications and beyond. IEEE Transactions on Industrial Electronics, 71(10):13439-13449, 2024
H. Li, J. Bai, H. Zou, X. Yin, R. Zhang. A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes. Journal of Process Control. 133:103133, 2024
2023
Y. Jv, Z. Wang, Y. Zhang, X. Yin, J. Liu. Lexicographic optimization for economic model predictive control with zone tracking. Chemical Engineering Research and Design. 200:646-654, 2023
X. Zhang, M. Han, X. Yin. Reduced-order Koopman modeling and predictive control of nonlinear processes. Computers & Chemical Engineering. 179:108440, 2023
X. Yin, Y. Qin, J. Liu, B. Huang. Data-driven moving horizon state estimation of nonlinear processes using Koopman operator. Chemical Engineering Research and Design. 200:481-492, 2023
X. Li, A. W.-K. Law, X. Yin. Partition‐based distributed extended Kalman filter for large‐scale nonlinear processes with application to chemical and wastewater treatment processes. AIChE Journal. 69(12):e18229, 2023 (Futures Issue)
S. Bo, B. T. Agyeman, X. Yin, J. Liu. Control invariant set enhanced safe reinforcement learning: Improved sampling efficiency, guaranteed stability and robustness. Computers & Chemical Engineering. 179:108413, 2023
S. Liu, X. Yin, J. Liu. Sensor network design for post-combustion CO2 capture plants: Computational efficiency and robustness. Journal of Process Control. 129:103035, 2023
S. Liu, X. Yin, Z. Pan, J. Liu. A sensitivity-based approach to optimal sensor selection for complex processes. Chemical Engineering Science. 278:118901, 2023
L. Wu, X. Yin, L. Pan, J. Liu. Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy. Applied Energy. 349:121627, 2023
A. Vahidi-Moghaddam, K. Zhang, Z. Li, X. Yin, Z. Song, Y. Wang. Extended Neighboring Extremal Optimal Control with State and Preview Perturbations. IEEE Transactions on Automation Science Engineering. In press.
X. Li, S. Bo, Y. Qin, X. Yin. Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise. Chemical Engineering Research and Design. 194:878-893, 2023
M. R. Hajidavalloo, J. Chen, Q. Hu, Z. Song, X. Yin, Z. Li. NMPC-based integrated thermal management of battery and cabin for electric vehicles in cold weather conditions. IEEE Transactions on Intelligent Vehicles. 8(9):4208-4222, 2023
Z. Ning, X. Yin, Y. Shi. Quantization-uncertainty-dependent analysis and control of linear systems with multi-input–multi-output quantization. IEEE Transactions on Circuits and Systems I: Regular Papers. 70(6):2561,2572, 2023
2022
H. Chen, O. Dogru, S. K. Varanasi, X. Yin, B. Huang. Distributed process monitoring for multi-agent systems through cognitive learning. IEEE Transactions on Cognitive and Developmental Systems. In press, 2022
Y. Qin, C. Yuen, X. Yin, B. Huang. A transferable multistage model with cycling discrepancy learning for lithium-ion battery state of health estimation. IEEE Transactions on Industrial Informatics. 19(2):1933-1946, 2022
Y. Qin, X. Yin. Start-up monitoring for intermittent manufacturing based on hierarchical stationarity analysis. Chemical Engineering Research and Design. 185:26-36, 2022
L. Wu, X. Yin, L. Pan, J. Liu. Economic model predictive control of integrated energy systems: A multi-time-scale framework. Applied Energy. 328:120187, 2022
S. Liu, X. Yin, J. Liu, J. Liu, F Ding. Distributed simultaneous state and parameter estimation of nonlinear systems. Chemical Engineering Research and Design. 181:74-86, 2022
X. Yin, Y. Qin, H. Chen, W. Du, J. Liu, B. Huang. Community detection based process decomposition and distributed monitoring for large‐scale processes. AIChE Journal. 68(11):e17826, 2022
X. Yin, B. Huang. Event-triggered distributed moving horizon state estimation of linear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52(10):6439-6451, 2022