Jun Zhao
Orcid: 0000-0001-8658-0568Affiliations:
- Zhejiang University, State Key Lab of Industrial Control Technolog
According to our database1,
Jun Zhao
authored at least 46 papers
between 2005 and 2025.
Collaborative distances:
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Bibliography
2025
Hierarchical fault propagation path recognition method based on knowledge-driven graph attention autoencoder with bilayer pooling for large-scale industrial system.
Adv. Eng. Informatics, 2025
2024
Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing.
IEEE Trans. Cybern., October, 2024
Hybrid-Order Graph Embedded Distributed Encoder-Decoder for Multiunit Industrial Plant-Wide Process Monitoring.
IEEE Trans Autom. Sci. Eng., October, 2024
Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning.
IEEE Trans. Ind. Informatics, April, 2024
Knowledge-Enhanced Distributed Graph Autoencoder for Multiunit Industrial Plant-Wide Process Monitoring.
IEEE Trans. Ind. Informatics, February, 2024
Incipient fault detection enhancement based on spatial-temporal multi-mode siamese feature contrast learning for industrial dynamic process.
Comput. Ind., February, 2024
Two-time scale dynamic closed-loop scheduling for gas supply network with multiple air separation units.
Comput. Ind. Eng., January, 2024
State of health confidence estimation for lithium-ion battery based on probabilistic ensemble learning.
Trans. Inst. Meas. Control, 2024
Iterative Deep Graph Learning and Embedding for Industrial Fault Diagnosis With Limited Labeled Data.
IEEE Trans. Instrum. Meas., 2024
Granulation-based long-term interval prediction considering spatial-temporal correlations for gas demand prediction in the steel industry.
Expert Syst. Appl., 2024
Two-stage transfer learning-based nonparametric system identification with Gaussian process regression.
Comput. Chem. Eng., 2024
2023
IEEE Trans. Control. Syst. Technol., November, 2023
Multi-scale adaptive multivariate state estimation fault detection enhancement for time-varying industrial system based on multi-output Gaussian process autoregression.
Comput. Ind. Eng., September, 2023
Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network.
Inf. Sci., July, 2023
Adaptive finite-time optimised impedance control for robotic manipulators with state constraints.
Int. J. Syst. Sci., July, 2023
Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems.
Inf. Sci., June, 2023
Nonparametric identification based on Gaussian process regression for distributed parameter systems.
Int. J. Syst. Sci., April, 2023
IEEE Trans. Ind. Informatics, March, 2023
Comput. Chem. Eng., March, 2023
Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism.
Eng. Appl. Artif. Intell., 2023
2022
Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs.
IEEE Trans. Ind. Informatics, 2022
Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network.
Comput. Chem. Eng., 2022
Comput. Chem. Eng., 2022
2021
An event-triggered model predictive control with exponentially stable offset free for PWA systems with model-plant mismatch.
J. Frankl. Inst., 2021
Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant.
CoRR, 2021
Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network.
Comput. Chem. Eng., 2021
A distributed model predictive control algorithm with the gap metric output feedback decoupling.
Comput. Chem. Eng., 2021
2020
Manifold-Preserving Sparse Graph-Based Ensemble FDA for Industrial Label-Noise Fault Classification.
IEEE Trans. Instrum. Meas., 2020
Two-dimensional recursive least squares identification based on local polynomial modeling for batch processes.
Comput. Chem. Eng., 2020
A PWA model identification method for nonlinear systems using hierarchical clustering based on the gap metric.
Comput. Chem. Eng., 2020
2019
Tube-based output feedback model predictive control of polytopic uncertain system with bounded disturbances.
J. Frankl. Inst., 2019
Neighbour-based Synchronous Distributed Receding Horizon Control for Multi-agent Systems.
Proceedings of the 12th Asian Control Conference, 2019
An effcient iterative approach for dynamic output feedback robust model predictive control.
Proceedings of the 12th Asian Control Conference, 2019
Proceedings of the 12th Asian Control Conference, 2019
2018
An integrated output space partition and optimal control method of multiple-model for nonlinear systems.
Comput. Chem. Eng., 2018
2017
Proceedings of the 11th Asian Control Conference, 2017
2015
Model predictive control strategy based on prediction error feedforward for superheating process.
Proceedings of the 10th Asian Control Conference, 2015
2013
Linear offset-free model predictive control: A minimum-variance unbiased filter based approach.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2010
Model predictive control with an on-line identification model of a supply chain unit.
J. Zhejiang Univ. Sci. C, 2010
2009
Periodic Disturbance Rejection Method Using Iterative Learning Predictive Function Control.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2008
A Scheme of Model Invalidation Assessment for Multivariable Dynamic Matrix Controllers.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
2006
Proceedings of the Computational Science, 2006
2005
Application of Particle Swarm Optimization Algorithm on Robust PID Controller Tuning.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005