Biao Huang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 90

Top Topics

Fault Detection

Industrial Processes

Variational Bayes

Top Venues

IEEE Trans. Cybern.

Comput. Chem. Eng.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Vamsi Krishna Puli, Ranjith Chiplunkar, Biao Huang
Sparse Robust Dynamic Feature Extraction Using Bayesian Inference. IEEE Trans. Ind. Electron. 71 (6) (2024)
Ronghu Chi, Na Lin, Biao Huang, Zhongsheng Hou
Performance-oriented design and analysis for direct data-driven control of multi-agent systems. Inf. Sci. 666 (2024)
Hongtian Chen, Oguzhan Dogru, Santhosh Kumar Varanasi, Xunyuan Yin, Biao Huang
Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning. IEEE Trans. Cogn. Dev. Syst. 16 (1) (2024)
Ke Li, Shunyi Zhao, Biao Huang, Fei Liu
Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation. IEEE CAA J. Autom. Sinica 11 (5) (2024)
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni
Machine learning for industrial sensing and control: A survey and practical perspective. CoRR (2024)
Junyao Xie, Biao Huang, Stevan Dubljevic
Moving horizon estimation for pipeline leak detection, localization, and constrained size estimation. Comput. Chem. Eng. 188 (2024)
Yitao Yan, Jie Bao, Biao Huang
An Approach to Data-Based Linear Quadratic Optimal Control. IEEE Control. Syst. Lett. 8 (2024)
Wanke Yu, Chunhui Zhao, Biao Huang, Min Xie
An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty. IEEE Trans. Control. Syst. Technol. 32 (3) (2024)
Pengyu Song, Chunhui Zhao, Biao Huang, Jinliang Ding
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Ronghu Chi, Wenzhi Cui, Na Lin, Zhongsheng Hou, Biao Huang
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. IEEE Trans. Cybern. 54 (8) (2024)
Wenxin Sun, Weili Xiong, Hongtian Chen, Ranjith Chiplunkar, Biao Huang
A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications. IEEE Trans. Ind. Informatics 20 (3) (2024)
Hongtian Chen, Zhigang Liu, Cesare Alippi, Biao Huang, Derong Liu
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Yitao Yan, Jie Bao, Biao Huang
On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise. IEEE Trans. Autom. Control. 69 (4) (2024)
Ke Li, Xiaojie Li, Xunyuan Yin, Shunyi Zhao, Biao Huang, Fei Liu
Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics. Comput. Chem. Eng. 189 (2024)
Feng Qian, Hong Qiao, Biao Huang, Yang Tang, David Bogle, Aibing Yu
Guest Editorial Special Issue on Industrial Metaverse for Smart Manufacturing. IEEE Trans. Cybern. 54 (7) (2024)
Vamsi Krishna Puli, Ranjith Chiplunkar, Biao Huang
Physics-informed probabilistic slow feature analysis. Autom. 169 (2024)
Oguzhan Dogru, Junyao Xie, Om Prakash, Ranjith Chiplunkar, Jansen Soesanto, Hongtian Chen, Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang
Reinforcement Learning in Process Industries: Review and Perspective. IEEE CAA J. Autom. Sinica 11 (2) (2024)
Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. CoRR (2024)
Jansen Fajar Soesanto, Bart Maciszewski, Leyli Mirmontazeri, Sabrina Romero, Mike Michonski, Andrew C. Milne, Biao Huang
Digital twin and control of an industrial-scale bitumen extraction process. Comput. Chem. Eng. 185 (2024)
Amirreza Memarian, Seshu Kumar Damarla, Alireza Memarian, Biao Huang
Detection of poor controller tuning with Gramian Angular Field (GAF) and StackAutoencoder (SAE). Comput. Chem. Eng. 185 (2024)
Shuang Gao, Xiaoli Luan, Biao Huang, Shunyi Zhao, Haiying Wan, Fei Liu
Suboptimal Bayesian Filters for Markov Jump Linear Systems with Unknown Noise Covariance. ICCA (2024)
Ruimin Xie, Yuxiang Liu, Xiwen He, Nabil Magbool Jan, Huaping Wang, Kuangrong Hao, Biao Huang
Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process. Comput. Chem. Eng. 181 (2024)
Ronghu Chi, Huaying Li, Na Lin, Biao Huang
Data-Driven Indirect Iterative Learning Control. IEEE Trans. Cybern. 54 (3) (2024)
Oguzhan Dogru, Ranjith Chiplunkar, Biao Huang
Skew Filtering for Online State Estimation and Control. IEEE Trans. Ind. Informatics 20 (2) (2024)
Junyao Xie, Biao Huang
Back-and-forth nudging moving horizon estimation for discrete-time linear systems. Autom. 165 (2024)
Hongtian Chen, Hao Luo, Biao Huang, Bin Jiang, Okyay Kaynak
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Yitao Yan, Jie Bao, Biao Huang
Approximating the System Behavior with Input Uncertainty Using Big Data. ICCA (2024)
Yitao Yan, Jie Bao, Biao Huang
Distributed Data-Driven Predictive Control via Dissipative Behavior Synthesis. IEEE Trans. Autom. Control. 69 (5) (2024)
Yu Hui, Ronghu Chi, Biao Huang, Zhongsheng Hou
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Chao Jiang, Yusheng Lu, Weimin Zhong, Biao Huang, Dayu Tan, Wenjiang Song, Feng Qian
Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling. IEEE Trans. Ind. Informatics 19 (1) (2023)
Zhiyinan Huang, Jinfeng Liu, Biao Huang
Robust MPC with Zone Tracking. CoRR (2023)
Zhichao Pan, Shunyi Zhao, Biao Huang, Fei Liu
Confidence set-membership FIR filter for discrete time-variant systems. Autom. 157 (2023)
Junyao Xie, Oguzhan Dogru, Biao Huang, Chris Godwaldt, Brett Willms
Reinforcement learning for soft sensor design through autonomous cross-domain data selection. Comput. Chem. Eng. 173 (2023)
Qingyang Dai, Chunhui Zhao, Biao Huang
Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring. IEEE Trans. Cybern. 53 (8) (2023)
Runze Lin, Yangyang Luo, Xialai Wu, Junghui Chen, Biao Huang, Lei Xie, Hongye Su
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control. CoRR (2023)
Wanke Yu, Chunhui Zhao, Biao Huang, Min Wu
A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection. IEEE Trans. Ind. Electron. 70 (12) (2023)
Junyao Xie, Biao Huang
Moving Horizon Estimation for Discrete-Time Linear Time-Invariant Systems Using Transfer Learning. CDC (2023)
Hongtian Chen, Zhongyan Liu, Biao Huang
Data-driven fault detection for Lipschitz nonlinear systems: From open to closed-loop systems. Autom. 155 (2023)
Yitao Yan, Jie Bao, Biao Huang
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis. CoRR (2023)
Wentao Bai, Fan Guo, Lei Chen, Kuangrong Hao, Biao Huang
Variational Bayesian Inference for Robust Identification of PWARX Systems With Time-Varying Time-Delays. IEEE Trans. Cybern. 53 (6) (2023)
Ronghu Chi, Huaying Li, Dong Shen, Zhongsheng Hou, Biao Huang
Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. IEEE Trans. Autom. Control. 68 (3) (2023)
Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang
A Transferable Multistage Model With Cycling Discrepancy Learning for Lithium-Ion Battery State of Health Estimation. IEEE Trans. Ind. Informatics 19 (2) (2023)
Qie Liu, Biao Huang, Yi Chai, Wenbo Li
Topology identification of sparse network: A stochastic variational Bayesian approach. Autom. 155 (2023)
Zhichao Pan, Biao Huang, Fei Liu
A Koopman Operator-Based Finite Impulse Response Filter for Nonlinear Systems. CDC (2023)
Yue Cao, Nabil Magbool Jan, Biao Huang, Yalin Wang, Zhuofu Pan, Weihua Gui
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Huaying Li, Ronghu Chi, Zhongsheng Hou, Biao Huang
Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control. IEEE Trans. Cybern. 53 (6) (2023)
Na Lin, Ronghu Chi, Biao Huang
Data-driven set-point control for nonlinear nonaffine systems. Inf. Sci. 625 (2023)
Vamsi Krishna Puli, Biao Huang
Variational Bayesian Approach to Nonstationary and Oscillatory Slow Feature Analysis With Applications in Soft Sensing and Process Monitoring. IEEE Trans. Control. Syst. Technol. 31 (4) (2023)
Atefeh Daemi, R. Bhushan Gopaluni, Biao Huang
Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework. IEEE Trans. Ind. Informatics 19 (2) (2023)
Xiuli Zhu, Seshu Kumar Damarla, Kuangrong Hao, Biao Huang, Hongtian Chen, Yicun Hua
ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling. IEEE Trans. Instrum. Meas. 72 (2023)
Ronghu Chi, Xiaolin Guo, Na Lin, Biao Huang
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
Pengyu Song, Chunhui Zhao, Biao Huang
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. Neural Networks 161 (2023)
Jinxi Zhang, Fan Guo, Kuangrong Hao, Biao Huang, Lei Chen
Identification of Errors-in-Variable System With Heteroscedastic Noise and Partially Known Input Using Variational Bayesian. IEEE Trans. Ind. Informatics 19 (10) (2023)
Na Lin, Huaying Li, Ronghu Chi, Zhongsheng Hou, Biao Huang
Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. IEEE Trans. Syst. Man Cybern. Syst. 53 (7) (2023)
Hongtian Chen, Linlin Li, Chao Shang, Biao Huang
Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach. IEEE Trans. Cybern. 53 (7) (2023)
Shunyi Zhao, Ke Li, Choon Ki Ahn, Biao Huang, Fei Liu
Tuning-Free Bayesian Estimation Algorithms for Faulty Sensor Signals in State-Space. IEEE Trans. Ind. Electron. 70 (1) (2023)
Hongtian Chen, Hao Luo, Biao Huang, Bin Jiang, Okyay Kaynak
Data-driven designs of observers and controllers via solving model matching problems. Autom. 156 (2023)
Xiuli Zhu, Seshu Kumar Damarla, Biao Huang
Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms. CoRR (2023)
Rui Wang, Kuangrong Hao, Biao Huang, Xiuli Zhu
Adaptive niching particle swarm optimization with local search for multimodal optimization. Appl. Soft Comput. 133 (2023)
Hongtian Chen, Biao Huang
Fault-Tolerant Soft Sensors for Dynamic Systems. IEEE Trans. Control. Syst. Technol. 31 (6) (2023)
Ronghu Chi, Yu Hui, Biao Huang, Zhongsheng Hou, Xuhui Bu
Data-Driven Adaptive Consensus Learning From Network Topologies. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Zheng Chai, Chunhui Zhao, Biao Huang, Hongtian Chen
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Hongtian Chen, Bin Jiang, Steven X. Ding, Biao Huang
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Wanke Yu, Chunhui Zhao, Biao Huang
MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes. IEEE Trans. Cybern. 52 (8) (2022)
Yousef Salehi, Biao Huang
Robust Variational Bayesian-Based Soft Sensor Model for LPV Processes With Delayed and Integrated Output Measurements. IEEE Trans. Instrum. Meas. 71 (2022)
Ronghu Chi, Yu Hui, Rongrong Wang, Biao Huang, Zhongsheng Hou
Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation. CoRR (2022)
Zheng Chai, Chunhui Zhao, Biao Huang
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies. IEEE Trans. Cybern. 52 (9) (2022)
Arun Senthil Sundaramoorthy, Santhosh Kumar Varanasi, Biao Huang, Yanjun Ma, Haitao Zhang, Dian Wang
Sparse Inverse Covariance Estimation for Causal Inference in Process Data Analytics. IEEE Trans. Control. Syst. Technol. 30 (3) (2022)
Kiran Raviprakash, Biao Huang, Vinay Prasad
A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations. Comput. Chem. Eng. 164 (2022)
Zheng Chai, Chunhui Zhao, Biao Huang
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes. IEEE Trans. Cybern. 52 (12) (2022)
Pengyu Song, Chunhui Zhao, Biao Huang, Min Wu
Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. IEEE Trans. Instrum. Meas. 71 (2022)
Xunyuan Yin, Biao Huang
Event-Triggered Distributed Moving Horizon State Estimation of Linear Systems. IEEE Trans. Syst. Man Cybern. Syst. 52 (10) (2022)
Wanke Yu, Min Wu, Biao Huang, Chengda Lu
A Generalized Probabilistic Monitoring Model with Both Random and Sequential Data. CoRR (2022)
Pengyu Song, Chunhui Zhao, Biao Huang
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. Neurocomputing 488 (2022)
Wanke Yu, Min Wu, Biao Huang, Chengda Lu
A generalized probabilistic monitoring model with both random and sequential data. Autom. 144 (2022)
Ronghu Chi, Huimin Zhang, Biao Huang, Zhongsheng Hou
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking. IEEE Trans. Cybern. 52 (6) (2022)
Junyao Xie, Biao Huang, Stevan Dubljevic
Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Hongtian Chen, Zhiwen Chen, Zheng Chai, Bin Jiang, Biao Huang
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis. IEEE Trans. Cybern. 52 (9) (2022)
Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, Yuqi Wu, Arun Senthil Sundaramoorthy, Biao Huang, Shu Xu, Mark Nixon, Noel Bell
Reinforcement learning approach to autonomous PID tuning. Comput. Chem. Eng. 161 (2022)
Huimin Zhang, Ronghu Chi, Zhongsheng Hou, Biao Huang
Quantisation compensated data-driven iterative learning control for nonlinear systems. Int. J. Syst. Sci. 53 (2) (2022)
Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, Yuqi Wu, Arun Senthil Sundaramoorthy, Biao Huang, Shu Xu, Mark Nixon, Noel Bell
Reinforcement Learning Approach to Autonomous PID Tuning. ACC (2022)
Yousef Salehi, Biao Huang
Offline and Online Parameter Learning for Switching Multirate Processes With Varying Delays and Integrated Measurements. IEEE Trans. Ind. Electron. 69 (7) (2022)
Hongtian Chen, Zheng Chai, Oguzhan Dogru, Bin Jiang, Biao Huang
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Qingchao Jiang, Shutian Chen, Xuefeng Yan, Manabu Kano, Biao Huang
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Zhiyinan Huang, Jinfeng Liu, Biao Huang
Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework. CoRR (2022)
Xiuli Zhu, Seshu Kumar Damarla, Kuangrong Hao, Biao Huang
Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling. IEEE Trans. Ind. Informatics 18 (8) (2022)
Oguzhan Dogru, Ranjith Chiplunkar, Biao Huang
Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering. IEEE Trans. Ind. Electron. 69 (7) (2022)
R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. CoRR (2022)
Na Lin, Ronghu Chi, Biao Huang
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies. IEEE Trans. Cybern. 52 (9) (2022)
Jing Deng, Biao Huang
Bayesian method for identification of constrained nonlinear processes with missing output data. ACC (2011)
Sohail Nazari, Qing Zhao, Biao Huang
An improved algebraic geometric solution to the identification of switched ARX models with noise. ACC (2011)
Yutong Qi, Biao Huang, Jingli Luo
Nonlinear state space modeling and simulation of a SOFC fuel cell. ACC (2006)
Liqian Zhang, Yang Shi, Tongwen Chen, Biao Huang
A new method for stabilization of networked control systems with random delays. ACC (2005)