We stand with Ukraine

We stand with Ukraine

Pengfei Li

Orcid: 0000-0002-6138-6686

Affiliations:

University of Science and Technology of China, Department of Automation, Hefei, China

According to our database¹, Pengfei Li authored at least 31 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org
on ieeexplore.ieee.org

On csauthors.net:

Bibliography

2026

A dual confidence evaluation-based shared control approach for human-machine collaboration.

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Neurocomputing, 2026

Human-in-the-loop reinforcement learning with risk-aware intervention and imitation.

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Expert Syst. Appl., 2026

2025

Internal Model-Based Anti-Disturbances Low-Level Control for Drones Considering Actuator Dynamics.

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J. Field Robotics, June, 2025

2024

Flexible Prescribed Performance Output Feedback Control for Nonlinear Systems With Input Saturation.

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IEEE Trans. Fuzzy Syst., November, 2024

Prescribed-Time Output Feedback Control for Cyber-Physical Systems Under Output Constraints and Malicious Attacks.

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IEEE Trans. Cybern., November, 2024

A Novel Prescribed-Time Control Approach of State-Constrained High-Order Nonlinear Systems.

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IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Unified Fuzzy Control of High-Order Nonlinear Systems With Multitype State Constraints.

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IEEE Trans. Cybern., April, 2024

Rolling self-triggered distributed MPC for dynamically coupled nonlinear systems.

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Autom., February, 2024

A Cooperative-Competitive Strategy for Autonomous Multidrone Racing.

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IEEE Trans. Ind. Electron., 2024

2023

Convex Temporal Convolutional Network-Based Distributed Cooperative Learning Control for Multiagent Systems.

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

Compound Event-Triggered Distributed MPC for Coupled Nonlinear Systems.

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IEEE Trans. Cybern., September, 2023

Disturbance Prediction-Based Adaptive Event-Triggered Model Predictive Control for Perturbed Nonlinear Systems.

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IEEE Trans. Autom. Control., 2023

2022

Integrated Channel-Aware Scheduling and Packet-Based Predictive Control for Wireless Cloud Control Systems.

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IEEE Trans. Cybern., 2022

Traded Control of Human-Machine Systems for Sequential Decision-Making Based on Reinforcement Learning.

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IEEE Trans. Artif. Intell., 2022

Event-based model predictive control for nonlinear systems with dynamic disturbance.

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Autom., 2022

2021

Networked Dual-Mode Adaptive Horizon MPC for Constrained Nonlinear Systems.

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IEEE Trans. Syst. Man Cybern. Syst., 2021

A Novel Self-Triggered MPC Scheme for Constrained Input-Affine Nonlinear Systems.

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IEEE Trans. Circuits Syst. II Express Briefs, 2021

Deep Feature Representation Based Imitation Learning for Autonomous Helicopter Aerobatics.

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IEEE Trans. Artif. Intell., 2021

Sampled-Data Stabilization of a Class of Stochastic Nonlinear Markov Switching System with Indistinguishable Modes Based on the Approximate Discrete-Time Models.

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J. Syst. Sci. Complex., 2021

Robust Approximation-Based Event-Triggered MPC for Constrained Sampled-Data Systems.

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J. Syst. Sci. Complex., 2021

Self-Triggered Model Predictive Control for Perturbed Nonlinear Systems: An Iterative Implementation.

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Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Robust model predictive control for constrained networked nonlinear systems: An approximation-based approach.

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Neurocomputing, 2020

Event-Triggered Adaptive Horizon Model Predictive Control for Perturbed Nonlinear Systems.

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Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Control for a Class of Stochastic Mechanical Systems Based on the Discrete-Time Approximate Observer.

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J. Syst. Sci. Complex., 2019

Channel-Aware Scheduling for Multiple Control Systems with Packet-Based Control over Collision Channels.

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Proceedings of the 2019 American Control Conference, 2019

2018

Packet-Based Model Predictive Control for Networked Control Systems With Random Packet Losses.

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Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Sampled-data observer design for a class of stochastic nonlinear systems based on the approximate discretetime models.

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IEEE CAA J. Autom. Sinica, 2017

Packet-Dropouts Compensation for Networked Control System via Deep ReLU Neural Network.

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Proceedings of the Neural Information Processing - 24th International Conference, 2017

Deep CNN Identifier for Dynamic Modelling of Unmanned Helicopter.

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Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Improved results on stability of Markovian jump systems with time-varying delays.

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Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

Sampled-data stabilization for a class of stochastic nonlinear systems based on the approximate discrete-time models.

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Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

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