Zhiqiang Ge

According to our database, Zhiqiang Ge authored at least 118 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.

Zhichao Chen, Hao Wang, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Syst. Man Cybern. Syst., February, 2025

Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism.

Junhua Zheng, Lingjian Ye, Zhiqiang Ge

IEEE Trans. Ind. Informatics, January, 2025

Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms.

Junhua Zheng, Yue Zhuo, Xiaoyu Jiang, Lingquan Zeng, Zhiqiang Ge

Expert Syst. Appl., 2025

2024

Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification.

Xiaoyu Jiang, Xiangyin Kong, Junhua Zheng, Zhiqiang Ge, Xinmin Zhang, Zhihuan Song

IEEE Trans. Ind. Informatics, December, 2024

Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems.

Zhenqin Yin, Lingjian Ye, Zhiqiang Ge

IEEE Trans. Ind. Informatics, November, 2024

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.

Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, November, 2024

IG²: Integrated Gradient on Iterative Gradient Path for Feature Attribution.

Yue Zhuo, Zhiqiang Ge

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems.

Yue Zhuo, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics.

Zhichao Chen, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Knowl. Data Eng., June, 2024

Reliable Soft Sensors With an Inherent Process Graph Constraint.

Ruikun Zhai, Junhua Zheng, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Ind. Informatics, June, 2024

Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes.

Lingquan Zeng, Zhiqiang Ge

IEEE Trans. Artif. Intell., February, 2024

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics.

Junhua Zheng, Zeyu Yang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2024

Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method.

Zhenqin Yin, Xinmin Zhang, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Inf. Forensics Secur., 2024

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development.

Junhua Zheng, Lingjian Ye, Zhiqiang Ge

Expert Syst. Appl., 2024

Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling.

Junhua Zheng, Lingquan Zeng, Zeyu Yang, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2024

IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution.

Yue Zhuo, Zhiqiang Ge

CoRR, 2024

2023

Adversarial Attacks on Regression Systems via Gradient Optimization.

Xiangyin Kong, Zhiqiang Ge

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Adversarial Security Verification of Data-Driven FDC Systems.

Yue Zhuo, Zhiqiang Ge

IEEE Trans. Reliab., December, 2023

RAGAN: Regression Attention Generative Adversarial Networks.

Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans. Artif. Intell., December, 2023

Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics.

Xiangyin Kong, Zhiqiang Ge

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Transfer adversarial attacks across industrial intelligent systems.

Zhenqin Yin, Yue Zhuo, Zhiqiang Ge

Reliab. Eng. Syst. Saf., September, 2023

Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application.

Yimeng He, Xiangyin Kong, Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, August, 2023

Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality.

Xiaoyu Jiang, Xiangyin Kong, Zhiqiang Ge

IEEE CAA J. Autom. Sinica, June, 2023

Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application.

Le Yao, Bingbing Shen, Linlin Cui, Junhua Zheng, Zhiqiang Ge

IEEE Trans. Ind. Informatics, April, 2023

Lifelong Bayesian Learning Machines for Streaming Industrial Big Data.

Zeyu Yang, Junhua Zheng, Zhiqiang Ge

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation.

Lingquan Zeng, Junhua Zheng, Le Yao, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2023

Ensemble Data Augmentation for Imbalanced Fault Diagnosis.

Xiaoyu Jiang, Junhua Zheng, Xinzhen Zhuang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2023

Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.

Yimeng He, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Instrum. Meas., 2023

Attack and Defense: Adversarial Security of Data-Driven FDC Systems.

Yue Zhuo, Zhenqin Yin, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2023

Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications.

Bingbing Shen, Le Yao, Zhiqiang Ge

IEEE Trans. Cybern., 2023

Directed Acyclic Graphs With Tears.

Zhichao Chen, Zhiqiang Ge

IEEE Trans. Artif. Intell., 2023

Causal variable selection for industrial process quality prediction via attention-based GRU network.

Le Yao, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2023

ABIGX: A Unified Framework for eXplainable Fault Detection and Classification.

Yue Zhuo, Jinchuan Qian, Zhihuan Song, Zhiqiang Ge

CoRR, 2023

2022

Data Guardian: A Data Protection Scheme for Industrial Monitoring Systems.

Yue Zhuo, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution.

Zeyu Yang, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

Rethinking the Value of Just-in-Time Learning in the Era of Industrial Big Data.

Zeyu Yang, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

Deep Learning of Latent Variable Models for Industrial Process Monitoring.

Xiangyin Kong, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output.

Xiangyin Kong, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

Information Fingerprint for Secure Industrial Big Data Analytics.

Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice.

Zhichao Chen, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

Improving the Performance of Just-In-Time Learning-Based Soft Sensor Through Data Augmentation.

Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans. Ind. Electron., 2022

Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application.

Qingqiang Sun, Zhiqiang Ge

IEEE Trans. Cybern., 2022

Structured Principal Component Analysis Model With Variable Correlation Constraint.

Ruikun Zhai, Jiusun Zeng, Zhiqiang Ge

IEEE Trans. Control. Syst. Technol., 2022

Weakly Supervised Multilayer Perceptron for Industrial Fault Classification With Inaccurate and Incomplete Labels.

Sifen Liao, Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans Autom. Sci. Eng., 2022

Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks.

Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans. Artif. Intell., 2022

Dynamic ensemble selection based improved random forests for fault classification in industrial processes.

Junhua Zheng, Yue Liu, Zhiqiang Ge

IFAC J. Syst. Control., 2022

Meta conditional variational auto-encoder for domain generalization.

Zhiqiang Ge, Zhihuan Song, Xin Li, Lei Zhang

Comput. Vis. Image Underst., 2022

Latent variable models in the era of industrial big data: Extension and beyond.

Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge

Annu. Rev. Control., 2022

2021

Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data.

Le Yao, Weiming Shao, Zhiqiang Ge

IEEE Trans. Neural Networks Learn. Syst., 2021

Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model.

Le Yao, Xiaoyu Jiang, Gaopan Huang, Jinchuan Qian, Bingbing Shen, Lu Xu, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2021

Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development.

Le Yao, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2021

Augmented Multidimensional Convolutional Neural Network for Industrial Soft Sensing.

Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2021

Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis.

Yue Zhuo, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes.

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction.

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

A Survey on Deep Learning for Data-Driven Soft Sensors.

Qingqiang Sun, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data.

Qingqiang Sun, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application.

Bingbing Shen, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes.

Jinlin Zhu, Muyun Jiang, Guohao Peng, Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Electron., 2021

Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor.

Weiming Shao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Cybern., 2021

Data Augmentation Classifier for Imbalanced Fault Classification.

Xiaoyu Jiang, Zhiqiang Ge

IEEE Trans Autom. Sci. Eng., 2021

Semi-supervised data modeling and analytics in the process industry: Current research status and challenges.

Zhiqiang Ge

IFAC J. Syst. Control., 2021

2020

Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression.

Zeyu Yang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2020

Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder.

Bingbing Shen, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2020

Automatic Deep Extraction of Robust Dynamic Features for Industrial Big Data Modeling and Soft Sensor Application.

Xinyu Zhang, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2020

Local Parameter Optimization of LSSVM for Industrial Soft Sensing With Big Data and Cloud Implementation.

Xinyu Zhang, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2020

Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model.

Weiming Shao, Zhiqiang Ge, Zhihuan Song, Jingbo Wang

IEEE Trans. Ind. Informatics, 2020

Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing.

Weiming Shao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, 2020

Hierarchical Bayesian Network Modeling Framework for Large-Scale Process Monitoring and Decision Making.

Guangjie Chen, Zhiqiang Ge

IEEE Trans. Control. Syst. Technol., 2020

Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes.

Weiming Shao, Zhiqiang Ge, Le Yao, Zhihuan Song

IEEE Trans Autom. Sci. Eng., 2020

Dynamic Bayesian network for robust latent variable modeling and fault classification.

Junhua Zheng, Jinlin Zhu, Guangjie Chen, Zhihuan Song, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2020

Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing.

Lingquan Zeng, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2020

Multi-rate principal component regression model for soft sensor application in industrial processes.

Le Zhou, Yaoxin Wang, Zhiqiang Ge

Sci. China Inf. Sci., 2020

2019

Multirate Factor Analysis Models for Fault Detection in Multirate Processes.

Le Zhou, Yaoxin Wang, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, 2019

Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data.

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2019

Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application.

Qingqiang Sun, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2019

Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application.

Zhiqiang Ge, Yue Liu

IEEE Trans. Ind. Informatics, 2019

Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes.

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Electron., 2019

Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data.

Weiming Shao, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Electron., 2019

Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression.

Weiming Shao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Control. Syst. Technol., 2019

Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application.

Zhiqiang Ge, Xinru Chen

IEEE Trans. Control. Syst. Technol., 2019

Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model.

Ya Cong, Le Zhou, Zhihuan Song, Zhiqiang Ge

IEEE Trans Autom. Sci. Eng., 2019

Deep ensemble forests for industrial fault classification.

Yue Liu, Zhiqiang Ge

IFAC J. Syst. Control., 2019

SVM-tree and SVM-forest algorithms for imbalanced fault classification in industrial processes.

Gecheng Chen, Zhiqiang Ge

IFAC J. Syst. Control., 2019

Phase Center Calibration for UWB Phase Interferometer Direction Finding by Virtual Baseline.

Jian Bai, Zhiqiang Ge, Lu Ma

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019

Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data.

Le Yao, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2019

Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model.

Le Zhou, Zhiqiang Ge, Zhihuan Song, Si-Zhao Joe Qin

Proceedings of the CAA Symposium on Fault Detection, 2019

Back-propagation Based Contribution for nonlinear fault diagnosis.

Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge

Proceedings of the CAA Symposium on Fault Detection, 2019

A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling.

Zeyu Yang, Le Yao, Zhiqiang Ge

Proceedings of the 12th Asian Control Conference, 2019

Nonlinear Inferential Sensor Development Based on GMM-ELM.

Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao

Proceedings of the 12th Asian Control Conference, 2019

2018

Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model.

Le Zhou, Jiaqi Zheng, Zhiqiang Ge, Zhihuan Song, Shengdao Shan

IEEE Trans. Ind. Electron., 2018

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.

Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui

IEEE Trans. Ind. Electron., 2018

Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application.

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Electron., 2018

Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes.

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song

IFAC J. Syst. Control., 2018

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data.

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, Furong Gao

Annu. Rev. Control., 2018

2017

Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.

Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang

IEEE Trans. Instrum. Meas., 2017

Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach.

Le Yao, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2017

Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data.

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, 2017

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.

Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang

IEEE Trans. Ind. Informatics, 2017

Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes.

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Control. Syst. Technol., 2017

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.

Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song

IEEE Trans. Control. Syst. Technol., 2017

Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis.

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song

IEEE Trans Autom. Sci. Eng., 2017

Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data.

Le Yao, Zhiqiang Ge

IEEE Trans Autom. Sci. Eng., 2017

Data Mining and Analytics in the Process Industry: The Role of Machine Learning.

Zhiqiang Ge, Zhihuan Song, Steven X. Ding, Biao Huang

IEEE Access, 2017

SAR Image Registration Using Cluster Analysis and Anisotropic Diffusion-Based SIFT.

Yanzhao Wang, Zhiqiang Ge, Juan Su, Wei Wu

Proceedings of the Advances in Image and Graphics Technologies - 12th Chinese conference, 2017

2016

Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes.

Zhiqiang Ge, Shiyong Zhong, Yingwei Zhang

IEEE Trans. Ind. Informatics, 2016

Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework.

Zhiqiang Ge, Junghui Chen

IEEE Trans. Ind. Informatics, 2016

Supervised Latent Factor Analysis for Process Data Regression Modeling and Soft Sensor Application.

Zhiqiang Ge

IEEE Trans. Control. Syst. Technol., 2016

2015

HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification.

Jinlin Zhu, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Electron., 2015

Mixture Bayesian Regularization of PCR Model and Soft Sensing Application.

Zhiqiang Ge

IEEE Trans. Ind. Electron., 2015

2014

JITL based local monitoring method for transitions of multiphase batch processes.

Feifan Shen, Zhihuan Song, Zhiqiang Ge

Proceedings of the American Control Conference, 2014

2012

Nonlinear dynamic process monitoring based on kernel partial least squares.

Qiaojun Wen, Zhiqiang Ge, Zhihuan Song

Proceedings of the American Control Conference, 2012

2011

A distribution-free method for process monitoring.

Zhiqiang Ge, Zhihuan Song

Expert Syst. Appl., 2011

Process structure change detection by eigenvalue-based method.

Zhiqiang Ge, Zhihuan Song

Comput. Chem. Eng., 2011

2010

Global-local structure analysis for fault detection.

Ruowei Fu, Muguang Zhang, Zhihuan Song, Zhiqiang Ge

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Probabilistic process monitoring with Bayesian regularization.

Muguang Zhang, Zhiqiang Ge, Zhihuan Song

Proceedings of the American Control Conference, 2010

2009

Bayesian method for multimode non-Gaussian process monitoring.

Zhiqiang Ge, Zhihuan Song, Muguang Zhang, Ruowei Fu, Zhibo Zhu

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2006

Study of Fuzzy Generalized Predictive Control Algorithm On Nonlinear Systems.

Qiang Li, Baocun Qu, Zhiqiang Ge, Xisheng Zhan

Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006