We stand with Ukraine

We stand with Ukraine

Yi Jiang

Orcid: 0000-0001-8927-0119

Affiliations:

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 29 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on researcherid.com
on orcid.org

On csauthors.net:

Bibliography

2024

Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning.

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IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023

Adaptive Optimal Control of Linear Discrete-Time Networked Control Systems with Two-Channel Stochastic Dropouts.

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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.

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Sci. China Inf. Sci., July, 2023

Event-Triggered Model Reference Adaptive Control for Linear Partially Time-Variant Continuous-Time Systems With Nonlinear Parametric Uncertainty.

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IEEE Trans. Autom. Control., March, 2023

Reinforcement learning and cooperative H∞ output regulation of linear continuous-time multi-agent systems.

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Autom., February, 2023

Generalized n-Dimensional Rigid Registration: Theory and Applications.

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IEEE Trans. Cybern., 2023

Robust Output Regulation and Reinforcement Learning-Based Output Tracking Design for Unknown Linear Discrete-Time Systems.

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IEEE Trans. Autom. Control., 2023

2022

Quadratic Pose Estimation Problems: Globally Optimal Solutions, Solvability/Observability Analysis, and Uncertainty Description.

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IEEE Trans. Robotics, 2022

Compensation-Signal-Based Dual-Rate Operational Feedback Decoupling Control for Flotation Processes.

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IEEE Trans. Ind. Electron., 2022

H<sub>∞</sub>-Based Minimal Energy Adaptive Control With Preset Convergence Rate.

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IEEE Trans. Cybern., 2022

Robustification of Learning Observers to Uncertainty Identification via Time-Varying Learning Intensity.

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IEEE Trans. Circuits Syst. II Express Briefs, 2022

Resilient reinforcement learning and robust output regulation under denial-of-service attacks.

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Zhong-Ping Jiang

Autom., 2022

2021

Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales.

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Victor G. Lopez

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IEEE Trans. Neural Networks Learn. Syst., 2021

Circuit Synthesis of 3-D Rotation Orthonormalization.

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IEEE Trans. Circuits Syst. II Express Briefs, 2021

2020

Model-Free Optimal Output Regulation for Linear Discrete-Time Lossy Networked Control Systems.

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IEEE Trans. Syst. Man Cybern. Syst., 2020

New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales.

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Victor G. Lopez

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IEEE Trans. Ind. Informatics, 2020

Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning.

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Bahare Kiumarsi

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IEEE Trans. Cybern., 2020

Set-Valued Feedback Control and Its Application to Event-Triggered Sampled-Data Systems.

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IEEE Trans. Autom. Control., 2020

Cooperative adaptive optimal output regulation of nonlinear discrete-time multi-agent systems.

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Autom., 2020

2019

Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems.

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IEEE Trans. Neural Networks Learn. Syst., 2019

Operational Control of Mineral Grinding Processes Using Adaptive Dynamic Programming and Reference Governor.

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Bahare Kiumarsi

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IEEE Trans. Ind. Informatics, 2019

Dual-Rate Operational Optimal Control for Flotation Industrial Process With Unknown Operational Model.

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IEEE Trans. Ind. Electron., 2019

2018

Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout.

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IEEE Trans. Neural Networks Learn. Syst., 2018

Data-Driven Flotation Industrial Process Operational Optimal Control Based on Reinforcement Learning.

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IEEE Trans. Ind. Informatics, 2018

2017

MPC-based setpoint compensation with unreliable wireless communications and constrained operational conditions.

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Neurocomputing, 2017

Flotation process with model free adaptive control.

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Proceedings of the IEEE International Conference on Information and Automation, 2017

Dual-Rate operational optiaml control for linear flotation process.

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Proceedings of the IEEE International Conference on Information and Automation, 2017

2015

Prediction-Prevention mathematic model of Ebola's spread and eradication.

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Proceedings of the IEEE International Conference on Information and Automation, 2015

Setpoint dynamic compensation via output feedback control with network induced time delays.

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Proceedings of the American Control Conference, 2015

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