Yi Jiang
Orcid: 0000-0001-8927-0119Affiliations:
- Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (2018)
- University of Texas at Arlington, College of Engineering, TX, USA (2017)
According to our database1,
Yi Jiang
authored at least 34 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Adaptive Linear Quadratic Control for Stochastic Discrete-Time Linear Systems With Unmeasurable Multiplicative and Additive Noises.
IEEE Trans. Autom. Control., November, 2024
Data-Driven $H_\infty$ Control of Networked Nonlinear Systems With External Disturbances and Random Communication Packet Losses.
IEEE Trans. Control. Netw. Syst., September, 2024
Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Optimal dynamic output feedback control of unknown linear continuous-time systems by adaptive dynamic programming.
Autom., 2024
Adaptive optimal tracking control of networked linear systems under two-channel stochastic dropouts.
Autom., 2024
Fully distributed adaptive control for output consensus of uncertain discrete-time linear multi-agent systems.
Autom., 2024
2023
Adaptive Optimal Control of Linear Discrete-Time Networked Control Systems with Two-Channel Stochastic Dropouts.
SIAM J. Control. Optim., October, 2023
Data-driven cooperative optimal output regulation for linear discrete-time multi-agent systems by online distributed adaptive internal model approach.
Sci. China Inf. Sci., July, 2023
Event-Triggered Model Reference Adaptive Control for Linear Partially Time-Variant Continuous-Time Systems With Nonlinear Parametric Uncertainty.
IEEE Trans. Autom. Control., March, 2023
Reinforcement learning and cooperative H∞ output regulation of linear continuous-time multi-agent systems.
Autom., February, 2023
IEEE Trans. Cybern., 2023
Robust Output Regulation and Reinforcement Learning-Based Output Tracking Design for Unknown Linear Discrete-Time Systems.
IEEE Trans. Autom. Control., 2023
2022
Quadratic Pose Estimation Problems: Globally Optimal Solutions, Solvability/Observability Analysis, and Uncertainty Description.
IEEE Trans. Robotics, 2022
Compensation-Signal-Based Dual-Rate Operational Feedback Decoupling Control for Flotation Processes.
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Cybern., 2022
Robustification of Learning Observers to Uncertainty Identification via Time-Varying Learning Intensity.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Resilient reinforcement learning and robust output regulation under denial-of-service attacks.
Autom., 2022
2021
Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
2020
Model-Free Optimal Output Regulation for Linear Discrete-Time Lossy Networked Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020
New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales.
IEEE Trans. Ind. Informatics, 2020
Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning.
IEEE Trans. Cybern., 2020
Set-Valued Feedback Control and Its Application to Event-Triggered Sampled-Data Systems.
IEEE Trans. Autom. Control., 2020
Cooperative adaptive optimal output regulation of nonlinear discrete-time multi-agent systems.
Autom., 2020
2019
Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019
Operational Control of Mineral Grinding Processes Using Adaptive Dynamic Programming and Reference Governor.
IEEE Trans. Ind. Informatics, 2019
Dual-Rate Operational Optimal Control for Flotation Industrial Process With Unknown Operational Model.
IEEE Trans. Ind. Electron., 2019
2018
Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout.
IEEE Trans. Neural Networks Learn. Syst., 2018
Data-Driven Flotation Industrial Process Operational Optimal Control Based on Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2018
2017
MPC-based setpoint compensation with unreliable wireless communications and constrained operational conditions.
Neurocomputing, 2017
Proceedings of the IEEE International Conference on Information and Automation, 2017
Proceedings of the IEEE International Conference on Information and Automation, 2017
2015
Proceedings of the IEEE International Conference on Information and Automation, 2015
Setpoint dynamic compensation via output feedback control with network induced time delays.
Proceedings of the American Control Conference, 2015