Hongfeng Tao

Orcid: 0000-0001-5279-2458

According to our database1, Hongfeng Tao authored at least 25 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism.
Trans. Inst. Meas. Control, 2024

Joint optimization of offloading strategy and resource allocation for multi-user in dynamic vehicular edge computing systems.
Simul. Model. Pract. Theory, 2024

Non-lifted norm optimal iterative learning control for networked dynamical systems: A computationally efficient approach.
J. Frankl. Inst., 2024

Point-to-point iterative learning control with quantised input signal and actuator faults.
Int. J. Control, 2024

Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples.
Eng. Appl. Artif. Intell., 2024

Robust Iterative Learning Control Design for a Class of Uncertain Batch Processes.
Proceedings of the European Control Conference, 2024

2023
An Optimal Iterative Learning Control Approach for Linear Systems With Nonuniform Trial Lengths Under Input Constraints.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets.
J. Frankl. Inst., March, 2023

Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths.
Trans. Inst. Meas. Control, 2023

Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion.
J. Frankl. Inst., 2023

Joint Optimization of Privacy Protection and Resource Allocation for Vehicular Edge Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022
Robust feedback feed-forward PD-type iterative learning control for uncertain discrete systems over finite frequency ranges.
Trans. Inst. Meas. Control, October, 2022

Improved LMI-based conditions for designing of PD-type ILC laws for linear batch processes over two-dimensional setting.
Proceedings of the 17th International Conference on Control, 2022

Design of ILC laws with conditions for stabilizing linear 2D discrete Roesser models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Robust PD-type iterative learning control for discrete systems with multiple time-delays subjected to polytopic uncertainty and restricted frequency-domain.
Multidimens. Syst. Signal Process., 2021

2020
An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks.
J. Frankl. Inst., 2020

Robust Iterative Learning Control in Finite Frequency Ranges for Differential Spatially Interconnected Systems.
Circuits Syst. Signal Process., 2020

Iterative Learning Control for Linear Differential Systems With Additional Performance Requirements.
IEEE Access, 2020

2019
Finite frequency range robust iterative learning control of linear discrete system with multiple time-delays.
J. Frankl. Inst., 2019

2018
Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints.
Syst. Control. Lett., 2018

Stability and stabilization of differential repetitive processes with time-delays over finite frequency ranges.
Proceedings of the 16th European Control Conference, 2018

2017
Iterative learning fault diagnosis algorithm for non-uniform sampling hybrid system.
IEEE CAA J. Autom. Sinica, 2017

Nonlinear chemical process monitoring using decentralized kernel principal component analysis and Bayesian inference.
Proceedings of the 11th Asian Control Conference, 2017

2016
The adaptive damping iterative parameter estimation algorithm for dynamical systems.
Proceedings of the 2016 American Control Conference, 2016

Novel input-output representation of general non-uniformly sampled-data systems.
Proceedings of the 2016 American Control Conference, 2016


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