Feng Qian

Orcid: 0000-0003-2781-332X

Affiliations:
  • East China University of Science and Technology, MOE Key Laboratory of Advanced Control and Optimization for Chemical Process, Shanghai, China
  • East China Institute of Chemical Technology, Shanghai, China (PhD 1995)


According to our database1, Feng Qian authored at least 115 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Synchronization Control of Networked Two-Timescale Dynamic Agents: A Singular Perturbation Approach.
IEEE Trans. Control. Netw. Syst., March, 2024

Secure Fully Distributed Event-Triggered Consensus of Multi-Agent Systems Against Distributed Sequential Scaling Attacks.
IEEE Trans. Ind. Informatics, February, 2024

Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2024

Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints.
Comput. Chem. Eng., February, 2024

2023
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation.
Neurocomputing, November, 2023

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Data-Driven Tabulation for Chemistry Integration Using Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

A home energy management approach using decoupling value and policy in reinforcement learning.
Frontiers Inf. Technol. Electron. Eng., September, 2023

Data-driven models of crude distillation units for production planning and for operations monitoring.
Comput. Chem. Eng., September, 2023

Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization.
Inf. Sci., July, 2023

Designing Distributed Impulsive Controller for Networked Singularly Perturbed Systems.
IEEE Trans. Autom. Control., June, 2023

An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization.
Neurocomputing, June, 2023

PointDet++: an object detection framework based on human local features with transformer encoder.
Neural Comput. Appl., May, 2023

Meta-Reinforcement Learning-Based Transferable Scheduling Strategy for Energy Management.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2023

Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties.
Comput. Chem. Eng., March, 2023

Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations.
IEEE Trans. Multim., 2023

Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling.
IEEE Trans. Ind. Informatics, 2023

Distributed discrete-time optimization over directed networks: A dynamic event-triggered algorithm.
Inf. Sci., 2023

Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels.
CoRR, 2023

Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning.
CoRR, 2023

Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156].
Comput. Chem. Eng., 2023

2022
Impulsive Effects on Synchronization of Singularly Perturbed Complex Networks With Semi-Markov Jump Topologies.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Secure Control of Multiagent Systems Against Malicious Attacks: A Brief Survey.
IEEE Trans. Ind. Informatics, 2022

Searching for Robustness Intervals in Evolutionary Robust Optimization.
IEEE Trans. Evol. Comput., 2022

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.
IEEE Trans. Cybern., 2022

Distributed Voltage Regulation for Low-Voltage and High-PV-Penetration Networks With Battery Energy Storage Systems Subject to Communication Delay.
IEEE Trans. Control. Syst. Technol., 2022

A Two-Level Energy Management Strategy for Multi-Microgrid Systems With Interval Prediction and Reinforcement Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Stability Analysis of Semi-Markov Jump Stochastic Nonlinear Systems.
IEEE Trans. Autom. Control., 2022

A bilevel data-driven framework for robust optimization under uncertainty - applied to fluid catalytic cracking unit.
Comput. Chem. Eng., 2022

Stability of multi-dimensional switched systems with an application to open multi-agent systems.
Autom., 2022

Channel modeling and LQG control in the presence of random delays and packet drops.
Autom., 2022

Resilient refinery planning based on two-stage adaptive robust optimization under uncertainty.
Proceedings of the IECON 2022, 2022

Tracking control of nonholonomic mobile robots with dynamic event-triggered strategy.
Proceedings of the IECON 2022, 2022

Distributed Impulsive Control of Leader-Following Multi-agent Systems.
Proceedings of the Handbook of Real-Time Computing, 2022

2021
A Finite-Time Distributed Optimization Algorithm for Economic Dispatch in Smart Grids.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications.
IEEE Trans. Ind. Informatics, 2021

A Privacy Preserving Distributed Optimization Algorithm for Economic Dispatch Over Time-Varying Directed Networks.
IEEE Trans. Ind. Informatics, 2021

Event-Based Resilient Formation Control of Multiagent Systems.
IEEE Trans. Cybern., 2021

Event-Based Formation Control for Nonlinear Multiagent Systems Under DoS Attacks.
IEEE Trans. Autom. Control., 2021

Kalman Filtering over the Random Delay and Packet Drop Channel.
SIAM J. Control. Optim., 2021

Refinery production planning optimization under crude oil quality uncertainty.
Comput. Chem. Eng., 2021

2020
Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2020

Guest Editorial: Special Section on Smart Process Manufacturing Driven by Artificial Intelligence.
IEEE Trans. Ind. Informatics, 2020

Adaptive Consensus Control of Linear Multiagent Systems With Dynamic Event-Triggered Strategies.
IEEE Trans. Cybern., 2020

Almost Sure Stability of Nonlinear Systems Under Random and Impulsive Sequential Attacks.
IEEE Trans. Autom. Control., 2020

A novel path-based reproduction operator for multi-objective optimization.
Swarm Evol. Comput., 2020

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey.
Patterns, 2020

Secure impulsive synchronization in Lipschitz-type multi-agent systems subject to deception attacks.
IEEE CAA J. Autom. Sinica, 2020

Monocular Depth Estimation Based On Deep Learning: An Overview.
CoRR, 2020

Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview.
CoRR, 2020

Data-driven robust optimization for crude oil blending under uncertainty.
Comput. Chem. Eng., 2020

Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations.
Autom., 2020

Input-to-state stability for nonlinear systems with stochastic impulses.
Autom., 2020

Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019
Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Bayesian Hybrid Collaborative Filtering-Based Residential Electricity Plan Recommender System.
IEEE Trans. Ind. Informatics, 2019

Switching Stabilization for Type-2 Fuzzy Systems With Network-Induced Packet Losses.
IEEE Trans. Cybern., 2019

Tracking Control of a Class of Cyber-Physical Systems via a FlexRay Communication Network.
IEEE Trans. Cybern., 2019

Self-adaptive differential evolution with multiple strategies for dynamic optimization of chemical processes.
Neural Comput. Appl., 2019

Leaderless consensus of multi-agent systems via an event-triggered strategy under stochastic sampling.
J. Frankl. Inst., 2019

A novel approach to reconstruction based saliency detection via convolutional neural network stacked with auto-encoder.
Neurocomputing, 2019

Just-in-time learning for cement free lime prediction with empirical mode decomposition and database monitoring index.
Proceedings of the 12th Asian Control Conference, 2019

2018
Finite-Time ℒ<sub>2</sub> Leader-Follower Consensus of Networked Euler-Lagrange Systems With External Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Model Approximation for Switched Genetic Regulatory Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Order Scheduling in the Discrete Manufacturing Industry: A Multiobjective Optimization Approach.
IEEE Trans. Ind. Informatics, 2018

A Just-in-Time Learning Based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Leaderless synchronization of coupled neural networks with the event-triggered mechanism.
Neural Networks, 2018

Secure impulsive synchronization control of multi-agent systems under deception attacks.
Inf. Sci., 2018

Improved leaderless consenus criteria of networked multi-agent systems based on the sampled data.
Int. J. Syst. Sci., 2018

Objective reduction particle swarm optimizer based on maximal information coefficient for many-objective problems.
Neurocomputing, 2018

2017
Multiagent Systems on Multilayer Networks: Synchronization Analysis and Network Design.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method.
IEEE Trans. Ind. Electron., 2017

Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling.
IEEE Trans. Cybern., 2017

Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control.
Neural Networks, 2017

Network-based leader-following consensus of nonlinear multi-agent systems via distributed impulsive control.
Inf. Sci., 2017

Robust Order Scheduling in the Fashion Industry: A Multi-Objective Optimization Approach.
CoRR, 2017

Globally optimal dynamic real time optimization without model mismatch between optimization and control layer.
Comput. Chem. Eng., 2017

Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Synchronization of multilayer networks with stochastic.
Proceedings of the 11th Asian Control Conference, 2017

2016
Control structure design of an industrial crude terephthalic acid hydropurification process with catalyst deactivation.
Comput. Chem. Eng., 2016

Impulsive quasi-synchronization of delayed dynamic networks with asymmetric connections.
Proceedings of the IECON 2016, 2016

2015
Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization.
Knowl. Based Syst., 2015

Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: Error estimation, optimization and design.
Autom., 2015

Data-driven model free adaptive control for a class of interconnected systems.
Proceedings of the 10th Asian Control Conference, 2015

2014
Monitoring for Nonlinear Multiple Modes Process Based on LL-SVDD-MRDA.
IEEE Trans Autom. Sci. Eng., 2014

Dynamic Optimization of Industrial Processes With Nonuniform Discretization-Based Control Vector Parameterization.
IEEE Trans Autom. Sci. Eng., 2014

Synchronization in complex networks and its application - A survey of recent advances and challenges.
Annu. Rev. Control., 2014

Synchronization of heterogeneous dynamical networks via distributed impulsive control.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013
Synchronization analysis of heterogeneous dynamical networks.
Neurocomputing, 2013

Process monitoring with global probability boundary-based on Gaussian mixture model.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012
Synchronization Error Estimation and Controller Design for Delayed Lur'e Systems With Parameter Mismatches.
IEEE Trans. Neural Networks Learn. Syst., 2012

Self-adaptive differential evolution algorithm with α-constrained-domination principle for constrained multi-objective optimization.
Soft Comput., 2012

Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks.
J. Adv. Comput. Intell. Intell. Informatics, 2012

Steady-state target real-time optimization for adaptive constrained generalized predictive control.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2011
Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

A data-driven soft sensor modeling for furnace temperature of Opposed Multi-Burner gasifier.
Proceedings of the Seventh International Conference on Natural Computation, 2011

An Application of the Particle Swarm Optimization on the Gasoline Blending Process.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

A hybrid method for identifying T-S fuzzy models.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
A hybrid genetic algorithm with the Baldwin effect.
Inf. Sci., 2010

CRPSO-Based Integrate-and-Fire Neuron Model for Time Series Prediction.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

Estimation of Distribution Algorithm sampling under Gaussian and Cauchy distribution in continuous domain.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009
Identification and control of nonlinear systems by a time-delay recurrent neural network.
Neurocomputing, 2009

2007
An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Dissimilation Particle Swarm Optimization-Based Elman Network and Applications for Identifying and Controlling Ultrasonic Motors.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Speed Identification of Ultrasonic Motors Based on Evolutionary Elman Network.
Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Time-Delay Recurrent Neural Network and Application for Identifying and Controlling Nonlinear Systems.
Proceedings of the Third International Conference on Natural Computation, 2007

A Hybrid Algorithm Based on Particle Swarm Optimization and Simulated Annealing for Job Shop Scheduling.
Proceedings of the Third International Conference on Natural Computation, 2007

Electricity reference price forecasting with Fuzzy C-means and Immune Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
Optimization of PTA Crystallization Process Based on Fuzzy GMDH Networks and Differential Evolutionary Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


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