Dewei Li

Orcid: 0000-0002-0604-7518

Affiliations:
  • Shanghai Jiao Tong University, Department of Automation, Shanghai, China


According to our database1, Dewei Li authored at least 123 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Variational auto encoder fused with Gaussian process for unsupervised anomaly detection.
J. Supercomput., April, 2024

A co-design method of online learning SMC law via an input-mapping strategy.
Autom., January, 2024

2023
Distributed Neighbor Selection in Multiagent Networks.
IEEE Trans. Autom. Control., November, 2023

A Modeling and Data-Driven Control Framework for Rigid-Soft Hybrid Robot With Visual Servoing.
IEEE Robotics Autom. Lett., November, 2023

Synthetic Robust Model Predictive Control With Input Mapping for Constrained Visual Servoing.
IEEE Trans. Ind. Electron., September, 2023

Distributed MPC based on robustly controllable sets for PWA systems.
Autom., August, 2023

A Cooperation-Aware Lane Change Method for Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., March, 2023

Conic Input Mapping Design of Constrained Optimal Iterative Learning Controller for Uncertain Systems.
IEEE Trans. Cybern., March, 2023

Data-Driven Optimal Synchronization Control for Leader-Follower Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Distributed Stabilization of Signed Networks via Self-Loop Compensation.
IEEE Trans. Netw. Sci. Eng., 2023

Event-Triggered Consensus of Matrix-Weighted Networks Subject to Actuator Saturation.
IEEE Trans. Netw. Sci. Eng., 2023

Eye-in-Hand Visual Servoing Control of Robot Manipulators Based on an Input Mapping Method.
IEEE Trans. Control. Syst. Technol., 2023

Input Mapping Design for Batch-to-Batch Optimization With Limited Memory.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

Sufficient Conditions on Bipartite Consensus of Weakly Connected Matrix-weighted Networks.
CoRR, 2023

Input-mapping based data-driven model predictive control for unknown linear systems with bounded disturbances.
Autom., 2023

Designing Cluster Consensus on Higher-Order Interaction Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments.
IEEE Trans. Neural Networks Learn. Syst., 2022

Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Conic Iterative Learning Control Using Distinct Data for Constrained Systems With State-Dependent Uncertainty.
IEEE Trans. Ind. Informatics, 2022

Iterative Learning Control With Data-Driven-Based Compensation.
IEEE Trans. Cybern., 2022

Distributed Integrated Control of a Mixed Traffic Network With Urban and Freeway Networks.
IEEE Trans. Control. Syst. Technol., 2022

Distributed Global Optimization for a Class of Nonconvex Optimization With Coupled Constraints.
IEEE Trans. Autom. Control., 2022

Peer selection in opinion dynamics on signed social networks with stubborn individuals.
Neurocomputing, 2022

Finding complete minimum driver node set with guaranteed control capacity.
Neurocomputing, 2022

Vector-valued Privacy-Preserving Average Consensus.
CoRR, 2022

Structural Adaptivity of Directed Networks.
CoRR, 2022

A co-design method of online learning SMC law via an input-mappping strategy.
CoRR, 2022

A Cooperation-Aware Lane Change Method for Autonomous Vehicles.
CoRR, 2022

Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems.
Autom., 2022

Characterizing bipartite consensus on signed matrix-weighted networks via balancing set.
Autom., 2022

An accelerated distributed gradient method with local memory.
Autom., 2022

Cluster consensus on matrix-weighted switching networks.
Autom., 2022

Traffic dynamics with slowdown vehicles based on the traffic wave theory.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-level Variational Auto Encoder for Unsupervised Abnormal Data Recognition.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

An input-mapping based online learning sliding mode control strategy for discrete-time uncertain systems.
Proceedings of the 13th Asian Control Conference, 2022

2021
Distributed Event-Triggered Model Predictive Control for Urban Traffic Lights.
IEEE Trans. Intell. Transp. Syst., 2021

Quantum Hamiltonian Identification With Classical Colored Measurement Noise.
IEEE Trans. Control. Syst. Technol., 2021

Consensus on Matrix-Weighted Switching Networks.
IEEE Trans. Autom. Control., 2021

Feature-fusion-kernel-based Gaussian process model for probabilistic long-term load forecasting.
Neurocomputing, 2021

Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize.
IEEE CAA J. Autom. Sinica, 2021

Self-loop Compensation in Signed Networks.
CoRR, 2021

Independent dimensional phase transition on a two-dimensional Kuramoto model with matrix coupling.
CoRR, 2021

Distributed Neighbor Selection in Multi-agent Networks.
CoRR, 2021

Dynamic Event-Triggered Consensus of Multi-agent Systems on Matrix-weighted Networks.
CoRR, 2021

Bipartite Consensus Problem on Matrix-valued Weighted Directed Networks.
Sci. China Inf. Sci., 2021

Path-based adaptive traffic signal control with a mixed backpressure index.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Mix-hops Graph Convolutional Networks for Skeleton-Based Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Synthesis of ILC-MPC Controller With Data-Driven Approach for Constrained Batch Processes.
IEEE Trans. Ind. Electron., 2020

A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production.
Neurocomputing, 2020

On the Controllability of Matrix-Weighted Networks.
IEEE Control. Syst. Lett., 2020

Data-Driven Predictive Control for Continuous-Time Industrial Processes with Completely Unknown Dynamics.
CoRR, 2020

Data-driven approximation for feasible regions in nonlinear model predictive control.
CoRR, 2020

Characterizing Bipartite Consensus with Balancing Set on Signed Matrix-weighted Networks.
CoRR, 2020

Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions.
CoRR, 2020

Consensus on Matrix-weighted Time-varying Networks.
CoRR, 2020

Synthesis of model predictive control based on data-driven learning.
Sci. China Inf. Sci., 2020

Reinforcement learning with actor-critic for knowledge graph reasoning.
Sci. China Inf. Sci., 2020

Distributed Subgradient Algorithm for Multi-agent Optimization with Uncoordinated Dynamic Stepsizes.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

The Efficient Data-Driven MPC with Input Mapping Method Based on Polyhedral Invariant Set.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Consensus of Second-order Matrix-weighted Multi-agent Networks.
Proceedings of the 16th International Conference on Control, 2020

Real-Time Queue Length Estimation With Trajectory Reconstruction Using Surveillance Data.
Proceedings of the 16th International Conference on Control, 2020

2019
A Game-Based Adaptive Traffic Signal Control Policy Using the Vehicle to Infrastructure (V2I).
IEEE Trans. Veh. Technol., 2019

Overall Traffic Mode Prediction by VOMM Approach and AR Mining Algorithm With Large-Scale Data.
IEEE Trans. Intell. Transp. Syst., 2019

Distributed Weighted Balanced Control of Traffic Signals for Urban Traffic Congestion.
IEEE Trans. Intell. Transp. Syst., 2019

Stochastic Assume-Guarantee Contracts for Cyber-Physical System Design.
ACM Trans. Embed. Comput. Syst., 2019

Predictor-Based Disturbance Rejection Control for Sampled Systems With Input Delay.
IEEE Trans. Control. Syst. Technol., 2019

Bipartite Consensus on Matrix-Valued Weighted Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

A least squares identifier for a quantum non-Markovian environment model.
Quantum Inf. Process., 2019

A gradient algorithm for Hamiltonian identification of open quantum systems.
CoRR, 2019

The research of grid-connected inverter control based on decaying amplification aggregation strategy in predictive control.
Clust. Comput., 2019

Economic optimization in transient processes for model predictive control with a dynamic reference trajectory.
Comput. Chem. Eng., 2019

Relative tempo of distributed averaging on networks.
Autom., 2019

A Deep Learning Approach for Dog Face Verification and Recognition.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Velocity Coordination of Multi-vehicle Systems via Distributed Neighbor Selection.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Model of platoon evolution in LVM scenario.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Leader-following Discrete-time Bipartite Consensus on Signed Networks.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Vision-aided Automatic Landing Design for Small Twin-engine Fixed Wing UAV.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Constrained data-driven RMPC with guaranteed stability.
Proceedings of the 12th Asian Control Conference, 2019

An RGBD-SLAM with Bi-directional PnP Method and Fuzzy Frame Detection Module.
Proceedings of the 12th Asian Control Conference, 2019

2018
An Improved Predictive Controller on the FPGA by Hardware Matrix Inversion.
IEEE Trans. Ind. Electron., 2018

Model predictive control design for polytopic uncertain systems by synthesising multi-step prediction scenarios.
Int. J. Syst. Sci., 2018

An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production.
Neurocomputing, 2018

A real-time optimization framework for the time-varying economic environment.
Comput. Chem. Eng., 2018

A Linear Least Squares Method to Identify the Damping Rate Function for a Non-Markovian Single Qubit System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Game-Based Traffic Signal Control with Adaptive Routing via V2I.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Design of Motion Planning System for Dual-arm Robot with Gantry Based on Temporal Logic Specifications and Predictive Control.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

Event-triggered Consensus Problem of General Multi-agent System on Signed Networks.
Proceedings of the 15th International Conference on Control, 2018

Stabilizing Controller Design for State-Based Switching Bilinear Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Identification of Discrete-Time Output Error Model Using Filtered Input Excitation for Integrating Processes With Time Delay.
IEEE Trans. Autom. Control., 2017

The robust model predictive control based on mixed H2/H∞ approach with separated performance formulations and its ISpS analysis.
Int. J. Control, 2017

Stochastic Assume-Guarantee Contracts for Cyber-Physical System Design Under Probabilistic Requirements.
CoRR, 2017

Identifying a damping rate function for a non-Markovian single qubit system.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Stochastic contracts for cyber-physical system design under probabilistic requirements.
Proceedings of the 15th ACM-IEEE International Conference on Formal Methods and Models for System Design, 2017

Extending signal temporal logic specifications for distributed model predictive control.
Proceedings of the 11th Asian Control Conference, 2017

2016
Stochastic traffic control based on regional state transition probability model.
Proceedings of the 2016 IEEE International Conference on Service Operations and Logistics, 2016

Simulation analysis on urban traffic congestion propagation based on complex network.
Proceedings of the 2016 IEEE International Conference on Service Operations and Logistics, 2016

Ensemble learning based urban traffic state prediction for coupling traffic network with large scale data.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Balance traffic control in urban traffic networks based on distributed optimization.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Nonlinear model predictive control of anaerobic digestion process based on reduced ADM1.
Proceedings of the 10th Asian Control Conference, 2015

A scenario-based convex formulation for probabilistic linear constraints in MPC.
Proceedings of the 10th Asian Control Conference, 2015

2014
Convergence Analysis and Digital Implementation of a Discrete-Time Neural Network for Model Predictive Control.
IEEE Trans. Ind. Electron., 2014

Mixed <i>H</i><sub>2</sub>/<i>H</i><sub>∞</sub> robust model predictive control with saturated inputs.
Int. J. Syst. Sci., 2014

A simplified prediction model for urban traffic network.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Cell-Link Model for state forecasting of urban road traffic network.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Model predictive control with swithing strategy for a train system.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Repetitive predictive control for systems subject to periodic disturbance with Markov jump uncertainty.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
An improved design of aggregation-based model predictive control.
Syst. Control. Lett., 2013

Probability-based constrained MPC for structured uncertain systems with state and random input delays.
Int. J. Syst. Sci., 2013

Improved model prediction and RMPC design for LPV systems with bounded parameter changes.
Autom., 2013

Synthesis of dynamic output feedback RMPC with saturated inputs.
Autom., 2013

Multi-Rate Model Predictive Control to Reject Periodic Disturbance with Reduced Ripple.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

Research on goods picking-up problem in mixed warehouse based on multiple scheduling strategy.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations.
Proceedings of the 9th Asian Control Conference, 2013

Stabilization of linear discrete-time periodic systems with uncertain period.
Proceedings of the 9th Asian Control Conference, 2013

2012
Constrained MPC designs for structured uncertain systems with random input delays.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2011
An nth-step set invariance approach to the analysis and design of discrete-time linear systems subject to actuator saturation.
Syst. Control. Lett., 2011

Constrained feedback robust model predictive control for polytopic uncertain systems with time delays.
Int. J. Syst. Sci., 2011

The synthesis of robust model predictive control with QP formulation.
Int. J. Model. Identif. Control., 2011

An improved robust model predictive control design in the presence of actuator saturation.
Autom., 2011

2010
The Feedback Robust MPC for LPV Systems With Bounded Rates of Parameter Changes.
IEEE Trans. Autom. Control., 2010

2009
Constrained robust feedback model predictive control for uncertain systems with polytopic description.
Int. J. Control, 2009

Quality guaranteed aggregation based model predictive control and stability analysis.
Sci. China Ser. F Inf. Sci., 2009

Aggregation based closed-loop MPC with guaranteed performance.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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