Xunyuan Yin

Orcid: 0000-0002-9823-9209

According to our database1, Xunyuan Yin authored at least 50 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators.
IEEE Trans. Ind. Informatics, March, 2024

Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning.
IEEE Trans. Cogn. Dev. Syst., February, 2024

Asynchronous Quantized Control of Piecewise-Affine Systems.
IEEE Trans. Autom. Control., January, 2024

Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection.
CoRR, 2024

2023
Reduced-order Koopman modeling and predictive control of nonlinear processes.
Comput. Chem. Eng., November, 2023

Control invariant set enhanced safe reinforcement learning: Improved sampling efficiency, guaranteed stability and robustness.
Comput. Chem. Eng., November, 2023

NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions.
IEEE Trans. Intell. Veh., September, 2023

A Transferable Multistage Model With Cycling Discrepancy Learning for Lithium-Ion Battery State of Health Estimation.
IEEE Trans. Ind. Informatics, 2023

Quantization-Uncertainty-Dependent Analysis and Control of Linear Systems With Multi-Input-Multi-Output Quantization.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023

Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges.
CoRR, 2023

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control.
CoRR, 2023

Extended Neighboring Extremal Optimal Control with State and Preview Perturbations.
CoRR, 2023

Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy.
CoRR, 2023

State estimation of a carbon capture process through POD model reduction and neural network approximation.
CoRR, 2023

Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability.
CoRR, 2023

Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness.
CoRR, 2023

Data-Driven Linear Predictive Control of Nonlinear Processes Based on Reduced-Order Koopman Operator.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

An Error-Triggered Adaptive Model Reduction and Soil Moisture Estimation for Agro-Hydrological System.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Piecewise Quantization-Dependent Approach to Quantized Stabilization of Piecewise-Affine Systems<sup>*</sup>.
Proceedings of the American Control Conference, 2023

Sensor placement for post-combustion CO2 capture plants.
Proceedings of the American Control Conference, 2023

2022
Event-Triggered Distributed Moving Horizon State Estimation of Linear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation.
CoRR, 2022

A sensitivity-based approach to optimal sensor selection for process networks.
CoRR, 2022

Economic model predictive control of integrated energy systems: A multi-time-scale framework.
CoRR, 2022

Distributed simultaneous state and parameter estimation of nonlinear systems.
CoRR, 2022

2021
Distributed State Estimation for Linear Systems With Application to Full-Car Active Suspension Systems.
IEEE Trans. Ind. Electron., 2021

Event-Triggered State Estimation of Linear Systems Using Moving Horizon Estimation.
IEEE Trans. Control. Syst. Technol., 2021

Soil moisture map construction by sequential data assimilation using an extended Kalman filter.
Proceedings of the 2021 American Control Conference, 2021

2020
Soil moisture map construction using microwave remote sensors and sequential data assimilation.
CoRR, 2020

A consensus-based approach for parameter and state estimation of agro-hydrological system.
CoRR, 2020

Robust state estimation for a class of hyperbolic systems with boundary sensor uncertain parameter.
Proceedings of the 2020 American Control Conference, 2020

2019
Forming Distributed State Estimation Network From Decentralized Estimators.
IEEE Trans. Control. Syst. Technol., 2019

Robust Model Predictive Control of the Cutterhead System in Tunnel Boring Machines.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

2018
Distributed State Estimation of Sensor-Network Systems Subject to Markovian Channel Switching With Application to a Chemical Process.
IEEE Trans. Syst. Man Cybern. Syst., 2018

State estimation of wastewater treatment plants based on model approximation.
Comput. Chem. Eng., 2018

2017
Improved Results on Asymptotic Stabilization for Stochastic Nonlinear Time-Delay Systems With Application to a Chemical Reactor System.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Robust Filtering for a Class of Networked Nonlinear Systems With Switching Communication Channels.
IEEE Trans. Cybern., 2017

Asynchronous Filtering for Discrete-Time Fuzzy Affine Systems With Variable Quantization Density.
IEEE Trans. Cybern., 2017

Cloud-Aided State Estimation of A Full-Car Semi-Active Suspension System.
CoRR, 2017

Cloud Resource Allocation for Cloud-Based Automotive Applications.
CoRR, 2017

Distributed moving horizon state estimation of two-time-scale nonlinear systems.
Autom., 2017

From decentralized to distributed state estimation.
Proceedings of the 2017 American Control Conference, 2017

2016
Resilient Estimation for Networked Systems With Variable Communication Capability.
IEEE Trans. Autom. Control., 2016

Cloud-aided moving horizon state estimation of a full-car semi-active suspension system.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Subsystem decomposition for distributed state estimation of nonlinear systems.
Proceedings of the 2016 American Control Conference, 2016

2015
H<sub>∞</sub> model approximation for discrete-time Takagi-Sugeno fuzzy systems with Markovian jumping parameters.
Neurocomputing, 2015

Model reduction of A class of Markov jump nonlinear systems with time-varying delays via projection approach.
Neurocomputing, 2015

Fuel Efficiency Modeling and Prediction for Automotive Vehicles: A Data-Driven Approach.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Distributed H∞ filtering over multiple-channel sensor networks with Markovian channel switching and time-varying delays.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Robust H∞ control for a class of networked uncertain systems with multiple channels subject to Markovian switching.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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