Yingzhao Lian

Orcid: 0000-0002-9242-143X

According to our database1, Yingzhao Lian authored at least 27 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.
CoRR, 2024

2023
Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result.
IEEE Trans. Control. Syst. Technol., November, 2023

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.
IEEE Trans. Control. Syst. Technol., September, 2023

Self-triggered Control with Energy Harvesting Sensor Nodes.
ACM Trans. Cyber Phys. Syst., July, 2023

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller.
IEEE Trans. Autom. Control., 2023

Fault Detection via Occupation Kernel Principal Component Analysis.
IEEE Control. Syst. Lett., 2023

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters.
IEEE Control. Syst. Lett., 2023

Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland.
CoRR, 2023

Hypergraph- Based Fast Distributed AC Power Flow Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Data-Driven Input Reconstruction and Experimental Validation.
IEEE Control. Syst. Lett., 2022

Robust Resource-Aware Self-Triggered Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Resource-Aware Stochastic Self-Triggered Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC.
IEEE Control. Syst. Lett., 2022

Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles.
CoRR, 2022

An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.
CoRR, 2022

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result.
CoRR, 2021

Koopman based data-driven predictive control.
CoRR, 2021

Joint Energy Management for Distributed Energy Harvesting Systems.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Nonlinear Data-Enabled Prediction and Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Robust Learning Model Predictive Control for Periodically Correlated Building Control.
Proceedings of the 2021 European Control Conference, 2021

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
On the Optimality and Convergence Properties of the Learning Model Predictive Controller.
CoRR, 2020

A Unified Framework for Reinforcement Learning.
CoRR, 2020

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Recurrent Neural Network based MPC for Process Industries.
Proceedings of the 17th European Control Conference, 2019

Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019


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