Jun Zhao

Orcid: 0000-0001-8658-0568

Affiliations:
  • Zhejiang University, State Key Lab of Industrial Control Technolog


According to our database1, Jun Zhao authored at least 39 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

2023
A Dynamic Model-Level Method for Multimode Process Monitoring Using ω-Metric.
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

Enhancing Output Feedback Robust MPC via Lexicographic Optimization.
IEEE Trans. Ind. Informatics, March, 2023

Quasi-Newton extremum seeking control based on incremental recursive identification.
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

Closed-loop robust steady-state target calculation for model predictive control.
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

Dynamic Matrix Control With Feed-Forward for Target Tracking.
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
Distributed model predictive control algorithm based on event-trigger.
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
A Design Method of Bang-Bang and PID Integrated Controller Based on Rough Set.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Design and Analysis of Test Signals for System Identification.
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

A Successive Design Method of Rough Controller Using Extra Excitation.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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