Xunyuan Yin
Orcid: 0000-0002-9823-9209
According to our database1,
Xunyuan Yin
authored at least 69 papers
between 2015 and 2024.
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Bibliography
2024
Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond.
IEEE Trans. Ind. Electron., October, 2024
IEEE Trans Autom. Sci. Eng., October, 2024
Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators.
IEEE Trans. Ind. Informatics, March, 2024
IEEE Trans. Cogn. Dev. Syst., February, 2024
IEEE Trans. Autom. Control., January, 2024
Tractable Reinforcement Learning for Signal Temporal Logic Tasks With Counterfactual Experience Replay.
IEEE Control. Syst. Lett., 2024
Lyapunov-based reinforcement learning for distributed control with stability guarantee.
CoRR, 2024
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems.
CoRR, 2024
Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning.
CoRR, 2024
Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling.
CoRR, 2024
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models.
CoRR, 2024
Approximating arrival costs in distributed moving horizon estimation: A recursive method.
CoRR, 2024
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator.
CoRR, 2024
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes.
CoRR, 2024
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes.
CoRR, 2024
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise.
CoRR, 2024
Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation.
CoRR, 2024
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection.
CoRR, 2024
Comput. Electron. Agric., 2024
Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics.
Comput. Chem. Eng., 2024
Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes.
Comput. Chem. Eng., 2024
Exploring the linkage between partition-based distributed extended Kalman filter and distributed full-information estimation.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024
Adaptive Boundary Observer Design for Euler-Bernoulli Beam Systems with Parameter Uncertainties.
Proceedings of the American Control Conference, 2024
Data-Driven Economic Predictive Control of Wastewater Treatment Process with Input-Output Koopman Operator.
Proceedings of the American Control Conference, 2024
2023
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
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control.
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
Proceedings of the American Control Conference, 2023
2022
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
CoRR, 2022
Economic model predictive control of integrated energy systems: A multi-time-scale framework.
CoRR, 2022
CoRR, 2022
2021
Distributed State Estimation for Linear Systems With Application to Full-Car Active Suspension Systems.
IEEE Trans. Ind. Electron., 2021
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
IEEE Trans. Control. Syst. Technol., 2019
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
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
Autom., 2017
Proceedings of the 2017 American Control Conference, 2017
2016
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
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