Ying Zhao Lian

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 30

Top Topics

Iterative Learning

Kernel Principal Component Analysis

Top Venues

IEEE Control. Syst. Lett.

Publications

Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones
On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller. IEEE Trans. Autom. Control. 68 (1) (2023)
Zachary Morrison, Benjamin P. Russo, Ying Zhao Lian, Rushikesh Kamalapurkar
Fault Detection via Occupation Kernel Principal Component Analysis. IEEE Control. Syst. Lett. 7 (2023)
Ying Zhao Lian, Jicheng Shi, Colin N. Jones
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters. IEEE Control. Syst. Lett. 7 (2023)
Ying Zhao Lian, Jicheng Shi, Colin N. Jones
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters. CoRR (2023)
Jicheng Shi, Ying Zhao Lian, Colin N. Jones
Data-Driven Input Reconstruction and Experimental Validation. IEEE Control. Syst. Lett. 6 (2022)
Jicheng Shi, Ying Zhao Lian, Colin N. Jones
Data-driven input reconstruction and experimental validation. CoRR (2022)
Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CDC (2022)
Jiawei Wang, Ying Zhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones
Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles. CoRR (2022)
Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Daniel F. Opila
Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC. IEEE Control. Syst. Lett. 6 (2022)
Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones
Robust Resource-Aware Self-Triggered Model Predictive Control. IEEE Control. Syst. Lett. 6 (2022)
Ying Zhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones
An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. CoRR (2022)
Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Daniel F. Opila
Scheduling Delays and Curtailment for Household Appliances with Deterministic Load Profiles using MPC. CoRR (2022)
Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CoRR (2022)
Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones
Resource-Aware Stochastic Self-Triggered Model Predictive Control. IEEE Control. Syst. Lett. 6 (2022)
Jicheng Shi, Ying Zhao Lian, Colin N. Jones
Robust Learning Model Predictive Control for Periodically Correlated Building Control. ECC (2021)
Ying Zhao Lian, Colin N. Jones
Nonlinear Data-Enabled Prediction and Control. L4DC (2021)
Ying Zhao Lian, Colin N. Jones
Nonlinear Data-Enabled Prediction and Control. CoRR (2021)
Ying Zhao Lian, Jicheng Shi, Manuel Pascal Koch, Colin Neil Jones
Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result. CoRR (2021)
Ying Zhao Lian, Renzi Wang, Colin N. Jones
Koopman based data-driven predictive control. CoRR (2021)
Naomi Stricker, Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele
Joint Energy Management for Distributed Energy Harvesting Systems. SenSys (2021)
Ying Zhao Lian, Colin N. Jones
From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control. CDC (2021)
Ying Zhao Lian, Colin N. Jones
From System Level Synthesis to Robust Closed-loop Data-enabled Predictive Control. CoRR (2021)
Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones
Resource-Aware Stochastic Self-Triggered Model Predictive Control. CoRR (2021)
Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones
Robust Resource-Aware Self-triggered Model Predictive Control. CoRR (2021)
Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones
On the Optimality and Convergence Properties of the Learning Model Predictive Controller. CoRR (2020)
Ying Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones
Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC. CDC (2020)
Jicheng Shi, Ying Zhao Lian, Colin N. Jones
Robust Learning Model Predictive Control for Periodically Correlated Building Control. CoRR (2020)
Jicheng Shi, Ying Zhao Lian, Colin N. Jones
A Unified Framework for Reinforcement Learning. CoRR (2020)
Nicolas Lanzetti, Ying Zhao Lian, Andrea Cortinovis, Luis F. Dominguez, Mehmet Mercangöz, Colin N. Jones
Recurrent Neural Network based MPC for Process Industries. ECC (2019)
Ying Zhao Lian, Colin N. Jones
Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint. CDC (2019)