Feng Qian
Orcid: 0000-0003-2781-332XAffiliations:
- 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 123 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Localization of False Data Injection Attacks in Smart Grids With Renewable Energy Integration via Spatiotemporal Network.
IEEE Internet Things J., December, 2024
IEEE Trans. Autom. Control., November, 2024
IEEE Trans. Cybern., July, 2024
IEEE Trans. Cybern., July, 2024
Distributed Gradient Tracking for Differentially Private Multi-Agent Optimization With a Dynamic Event-Triggered Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., May, 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
Differential privacy distributed optimization algorithm against adversarial attacks for efficiency optimization of complex industrial processes.
Adv. Eng. Informatics, 2024
An interpretable data-driven approach for process flowsheet convergence troubleshooting.
Adv. Eng. Informatics, 2024
2023
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
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
IEEE Trans. Ind. Informatics, 2022
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
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
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
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
IEEE Trans. Cybern., 2021
IEEE Trans. Autom. Control., 2021
SIAM J. Control. Optim., 2021
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
Swarm Evol. Comput., 2020
Patterns, 2020
Secure impulsive synchronization in Lipschitz-type multi-agent systems subject to deception attacks.
IEEE CAA J. Autom. Sinica, 2020
Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview.
CoRR, 2020
Comput. Chem. Eng., 2020
Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations.
Autom., 2020
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
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
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
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
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
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
Proceedings of the 10th Asian Control Conference, 2015
2014
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
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
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
Proceedings of the Applied Informatics and Communication - International Conference, 2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
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
2008
IEEE Trans. Syst. Man Cybern. Part A, 2008
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
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
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