Yitao Yan

Orcid: 0000-0002-3329-2615

According to our database1, Yitao Yan authored at least 24 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Data-Driven Probabilistic Finite ℒ<sub>2</sub>-Gain Stabilization of Stochastic Linear Systems.
CoRR, April, 2026

Behavioral Systems Theory Meets Machine Learning: Control-Aware Learning of the Intrinsic Behavior from Big Data.
CoRR, April, 2026

Big data-driven predictive control for nonlinear systems based on kernel density estimation of data trajectories.
Comput. Chem. Eng., 2026

2025
Big Data-Driven Control of Nonlinear Processes Through Dynamic Latent Variables Using an Autoencoder.
IEEE Trans. Cybern., May, 2025

The Intrinsic State Variable in Fundamental Lemma and Its Use in Stability Design for Data-based Control.
CoRR, January, 2025

RLS-Based Time Delay Control Method for Distributed Asynchronous Sheath Current Sensing in Underground HV Cable Systems.
IEEE Access, 2025

Frequency-Semantic-enhanced Channel Attention Network for Human Parsing.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

The Behavioral Approach to Trajectory-based Control.
Proceedings of the 2025 European Control Conference, 2025

2024
Distributed Data-Driven Predictive Control via Dissipative Behavior Synthesis.
IEEE Trans. Autom. Control., May, 2024

On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise.
IEEE Trans. Autom. Control., April, 2024

Fault location technology for cable-overhead-hybrid transmission lines based on improved HOVMD-TKEO and wave velocity normalization method.
IEICE Electron. Express, 2024

An Approach to Data-Based Linear Quadratic Optimal Control.
IEEE Control. Syst. Lett., 2024

Approximating the System Behavior with Input Uncertainty Using Big Data.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

Fault Detection for Nonlinear Process Using Data-Based Dissipativity in a Lifted Space.
Proceedings of the 14th Asian Control Conference, 2024

Big Data-driven Predictive Control Using Multi-view Clustering.
Proceedings of the American Control Conference, 2024

2023
Data-Based Fault Diagnosis via Dissipativity-Shaping.
IEEE Control. Syst. Lett., 2023

2022
Data predictive control of nonlinear process feature dynamics through latent variable behaviours.
Comput. Chem. Eng., 2022

2021
Behavioural Approach to Distributed Control of Interconnected Systems.
CoRR, 2021

2020
Human-Machine Hybrid Peer Grading in SPOCs.
IEEE Access, 2020

Fault Detection Using Autoencoder with Linear Hidden Layer Dynamics.
Proceedings of the Australian and New Zealand Control Conference, 2020

2019
A Scenario Approach to Robust Distributed Control for Plantwide Process Systems.
Proceedings of the 17th European Control Conference, 2019

Vector Dissipativity-Based Distributed Fault Detection for Plantwide Chemical Processes.
Proceedings of the 12th Asian Control Conference, 2019

Dissipativity Analysis for Linear Systems in the Behavioural Framework.
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

2018
Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty.
Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018


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