Pengfei Li
Orcid: 0000-0002-6138-6686Affiliations:
- University of Science and Technology of China, Department of Automation, Hefei, China
According to our database1,
Pengfei Li
authored at least 28 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Flexible Prescribed Performance Output Feedback Control for Nonlinear Systems With Input Saturation.
IEEE Trans. Fuzzy Syst., November, 2024
Prescribed-Time Output Feedback Control for Cyber-Physical Systems Under Output Constraints and Malicious Attacks.
IEEE Trans. Cybern., November, 2024
A Novel Prescribed-Time Control Approach of State-Constrained High-Order Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024
Unified Fuzzy Control of High-Order Nonlinear Systems With Multitype State Constraints.
IEEE Trans. Cybern., April, 2024
Autom., February, 2024
IEEE Trans. Ind. Electron., 2024
2023
Convex Temporal Convolutional Network-Based Distributed Cooperative Learning Control for Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
IEEE Trans. Cybern., September, 2023
Disturbance Prediction-Based Adaptive Event-Triggered Model Predictive Control for Perturbed Nonlinear Systems.
IEEE Trans. Autom. Control., 2023
2022
Integrated Channel-Aware Scheduling and Packet-Based Predictive Control for Wireless Cloud Control Systems.
IEEE Trans. Cybern., 2022
Traded Control of Human-Machine Systems for Sequential Decision-Making Based on Reinforcement Learning.
IEEE Trans. Artif. Intell., 2022
Autom., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Deep Feature Representation Based Imitation Learning for Autonomous Helicopter Aerobatics.
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.
J. Syst. Sci. Complex., 2021
J. Syst. Sci. Complex., 2021
Self-Triggered Model Predictive Control for Perturbed Nonlinear Systems: An Iterative Implementation.
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.
Neurocomputing, 2020
Event-Triggered Adaptive Horizon Model Predictive Control for Perturbed Nonlinear Systems.
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.
J. Syst. Sci. Complex., 2019
Channel-Aware Scheduling for Multiple Control Systems with Packet-Based Control over Collision Channels.
Proceedings of the 2019 American Control Conference, 2019
2018
Packet-Based Model Predictive Control for Networked Control Systems With Random Packet Losses.
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.
IEEE CAA J. Autom. Sinica, 2017
Packet-Dropouts Compensation for Networked Control System via Deep ReLU Neural Network.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
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.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016