Fuli Wang

Orcid: 0000-0002-1107-7893

According to our database1, Fuli Wang authored at least 75 papers between 1997 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Adaptation Entropy Regularization Actor-Critic for Process Operation Performance Assessment.
IEEE Trans. Ind. Informatics, April, 2024

Operating Performance Assessment of Complex Nonlinear Industrial Process Based on Kernel Locally Linear Embedding PLS.
IEEE Trans Autom. Sci. Eng., January, 2024

Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization.
Inf. Sci., January, 2024

Adaptive output feedback reinforcement learning control for continuous time switched stochastic nonlinear systems with unknown control coefficients and full-state constraints.
Int. J. Syst. Sci., January, 2024

Learning Hypergraphs Tensor Representations From Data via t-HGSP.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Process Operating Performance Assessment for Plant-Wide Froth Flotation via Distributed Multigraph Deep Embedding Graph Clustering Network.
IEEE Trans. Instrum. Meas., 2024

Machinery health prognostic with uncertainty for mineral processing using TSC-TimeGAN.
Reliab. Eng. Syst. Saf., 2024

Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry.
Expert Syst. Appl., 2024

Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression.
Adv. Eng. Informatics, 2024

A Lightweight Target Following Architecture for Indoor Mobile Robot.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry.
Inf. Sci., November, 2023

Process Operation Performance Assessment Based on Multisource Heterogeneous Information With Semisupervised Transfer Generative Adversarial Network for Electrofused Magnesium Furnace.
IEEE Trans. Ind. Informatics, May, 2023

Operating Performance Assessment Based on Semi-Supervised Cluster Generative Adversarial Networks for Gold Flotation Process.
IEEE Trans. Instrum. Meas., 2023

Process Operation Performance Assessment Based on Semi-Supervised Fine-Grained Generative Adversarial Network for EFMF.
IEEE Trans. Instrum. Meas., 2023

Decision system for copper flotation backbone process.
Eng. Appl. Artif. Intell., 2023

Operating performance assessment method for industrial process with slowness principle-based LSTM network.
Eng. Appl. Artif. Intell., 2023

A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
The intelligent decision-making of copper flotation backbone process based on CK-XGBoost.
Knowl. Based Syst., 2022

Novel Software Architecture for an Autonomous Agricultural Robotic Fruit Harvesting System.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Operating performance assessment of between-mode transitions for multi-mode plant-wide process.
Proceedings of the 13th Asian Control Conference, 2022

Graph auto encoder-based operation performance assessment method and its application for complex industrial process.
Proceedings of the 13th Asian Control Conference, 2022

2021
A hybrid model for multi-step wind speed forecasting based on secondary decomposition, deep learning, and error correction algorithms.
J. Intell. Fuzzy Syst., 2021

2020
An Operational Adjustment Framework for a Complex Industrial Process Based on Hybrid Bayesian Network.
IEEE Trans Autom. Sci. Eng., 2020

A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method.
IEEE Trans Autom. Sci. Eng., 2020

Multimode Process Mode Identification With Coexistence of Quantitative Information and Qualitative Information.
IEEE Trans Autom. Sci. Eng., 2020

Safety control modeling method based on Bayesian network transfer learning for the thickening process of gold hydrometallurgy.
Knowl. Based Syst., 2020

2019
The least-time optimization for abnormity control of a complex industrial process.
Trans. Inst. Meas. Control, 2019

The updating strategy for the safe control Bayesian network model under the abnormity in the thickening process of gold hydrometallurgy.
Neurocomputing, 2019

The relationship determination between the Bayesian networks nodes based on the intuitionistic fuzzy set.
Intell. Data Anal., 2019

Integrating expert knowledge for Bayesian network structure learning based on intuitionistic fuzzy set and Genetic Algorithm.
Intell. Data Anal., 2019

Active Learning Strategy for Online Prediction of Particle Size Distribution in Cobalt Oxalate Synthesis Process.
IEEE Access, 2019

Soft Sensor Model Development for Cobalt Oxalate Synthesis Process Based on Adaptive Gaussian Mixture Regression.
IEEE Access, 2019

Abnormal Condition Identification Modeling Method Based on Bayesian Network Parameters Transfer Learning for the Electro-Fused Magnesia Smelting Process.
IEEE Access, 2019

A Data-Driven Compensation Method for Production Index of Hydrometallurgical Process.
IEEE Access, 2019

2018
A new set-membership estimation method based on zonotopes and ellipsoids.
Trans. Inst. Meas. Control, 2018

Improved set-membership guaranteed state estimation for uncertain non-linear systems.
Trans. Inst. Meas. Control, 2018

A new modifier adaptation methodology for real-time optimization.
Trans. Inst. Meas. Control, 2018

A delay dependent approach to robust fast adaptive fault estimation design for uncertain neutral systems with time delay.
Trans. Inst. Meas. Control, 2018

2017
A safe control scheme under the abnormity for the thickening process of gold hydrometallurgy based on Bayesian network.
Knowl. Based Syst., 2017

Robust fast adaptive fault estimation and tolerant control for T-S fuzzy systems with interval time-varying delay.
Int. J. Syst. Sci., 2017

Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.
IEEE Access, 2017

Phase-based recursive regression for quality prediction of multiphase batch processes.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016
Fault Estimation for a Class of Nonlinear Systems Based on Intermediate Estimator.
IEEE Trans. Autom. Control., 2016

Adaptive fuzzy asymptotic tracking control of uncertain nonaffine nonlinear systems with non-symmetric dead-zone nonlinearities.
Inf. Sci., 2016

2015
Robust fast adaptive fault estimation for systems with time-varying interval delay.
J. Frankl. Inst., 2015

Operation performance evaluation method for transitional mode of multiple mode production processes.
J. Comput. Methods Sci. Eng., 2015

Robust Fault Estimation for Takagi-Sugeno Nonlinear Systems with Time-Varying State Delay.
Circuits Syst. Signal Process., 2015

2014
Optimization of Advertising Budget Allocation Over Time Based on LS-SVMR and DE.
IEEE Trans Autom. Sci. Eng., 2014

A hybrid artificial neural network - mechanistic model for centrifugal compressor.
Neural Comput. Appl., 2014

2013
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model.
Neural Comput. Appl., 2013

2012
Game theory approach to state and input simultaneous estimation for discrete-time LTV systems.
Int. J. Syst. Sci., 2012

Real-time product quality control for batch processes based on stacked least-squares support vector regression models.
Comput. Chem. Eng., 2012

MPCA based phase identification method and its application to process monitoring.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Game-Theoretic Design for Robust H<sub>infty</sub> Filtering and Deconvolution With Consideration of Known Input.
IEEE Trans Autom. Sci. Eng., 2011

A SNCCDBAGG-Based NN Ensemble Approach for Quality Prediction in Injection Molding Process.
IEEE Trans Autom. Sci. Eng., 2011

2009
Intermittent-Chaos-and-Cepstrum-Analysis-Based Early Fault Detection on Shuttle Valve of Hydraulic Tube Tester.
IEEE Trans. Ind. Electron., 2009

Conjugate unitary ESPRIT for real sources adapted to the coherent case.
Signal Process., 2009

Improved independent component regression modeling.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Multi-stage extreme learning machine for fault diagnosis on hydraulic tube tester.
Neural Comput. Appl., 2008

Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration.
Proceedings of the 10th International Conference on Control, 2008

2007
Feed-forward and inferential control and its application.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

The Application of Adaptive Critic Design in the Nosiheptide Fermentation.
Proceedings of the Advances in Neural Networks, 2007

Support Vector Machines and Genetic Algorithms for Soft-Sensing Modeling.
Proceedings of the Advances in Neural Networks, 2007

Soft-Sensing Modeling Based on Multi-Phases for Fermentation Process.
Proceedings of the Third International Conference on Natural Computation, 2007

A Fault Diagnosis Method to Hydraulic Tube Tester Production Process.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
A Sub-stage Moving Window GRNN Quality Prediction Method for Injection Molding Processes.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2003
Reliable redundant control design for nonlinear uncertain systems.
Proceedings of the American Control Conference, 2003

2002
Reliable redundant control for nonlinear uncertain systems.
Proceedings of the American Control Conference, 2002

Statistical process monitoring using multiple PCA models.
Proceedings of the American Control Conference, 2002

2000
Robust adaptive control of bilinear plants with high-order perturbation uncertainties.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Modeling and control of processes with output dynamic nonlinearity.
Proceedings of the American Control Conference, 2000

1997
A Knowledge-Based Controller Used in Process Control Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997

A neural network-based adaptive pole placement controller for nonlinear systems.
Int. J. Syst. Sci., 1997

A knowledge-based controller with fuzzy reasoning used in process control.
Int. J. Syst. Sci., 1997

Pid-like Controller Using a Modified Neural Network.
Int. J. Syst. Sci., 1997


  Loading...