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Journal Articles
- 2023
[j10]Ying Zhao Lian
, Jicheng Shi, Colin N. Jones:
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters. IEEE Control. Syst. Lett. 7: 1885-1890 (2023)- [j9]Zachary Morrison, Benjamin P. Russo, Ying Zhao Lian, Rushikesh Kamalapurkar:
Fault Detection via Occupation Kernel Principal Component Analysis. IEEE Control. Syst. Lett. 7: 2695-2700 (2023) - [j8]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): 556-563 (2023) - [j7]Naomi Stricker, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele:
Self-triggered Control with Energy Harvesting Sensor Nodes. ACM Trans. Cyber Phys. Syst. 7(3): 20:1-20:31 (2023) - [j6]Yingzhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones:
A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(5): 2245-2260 (2023) - [j5]Yingzhao Lian, Jicheng Shi, Manuel Pascal Koch, Colin Neil Jones:
Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result. IEEE Trans. Control. Syst. Technol. 31(6): 2420-2436 (2023) - 2022
- [j4]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: 1262-1267 (2022) - [j3]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: 1724-1729 (2022) - [j2]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Data-Driven Input Reconstruction and Experimental Validation. IEEE Control. Syst. Lett. 6: 3259-3264 (2022) - [j1]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: 3301-3306 (2022)
Conference and Workshop Papers
- 2024
- [c10]Jicheng Shi, Yingzhao Lian, Colin N. Jones:
Efficient Recursive Data-enabled Predictive Control. ECC 2024: 880-887 - 2023
- [c9]Xinliang Dai, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Veit Hagenmeyer:
Hypergraph- Based Fast Distributed AC Power Flow Optimization. CDC 2023: 4572-4579 - 2022
- [c8]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: 1111-1117 - 2021
- [c7]Ying Zhao Lian, Colin N. Jones:
From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control. CDC 2021: 1478-1483 - [c6]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Robust Learning Model Predictive Control for Periodically Correlated Building Control. ECC 2021: 192-197 - [c5]Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. L4DC 2021: 523-534 - [c4]Naomi Stricker, Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele:
Joint Energy Management for Distributed Energy Harvesting Systems. SenSys 2021: 575-577 - 2020
- [c3]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: 685-690 - 2019
- [c2]Ying Zhao Lian, Colin N. Jones:
Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint. CDC 2019: 860-866 - [c1]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: 1005-1010
Informal and Other Publications
- 2024
- [i20]Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu:
SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning. CoRR abs/2402.11903 (2024) - [i19]Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu:
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization. CoRR abs/2409.11414 (2024) - 2023
- [i18]Ying Zhao Lian, Jicheng Shi, Colin N. Jones:
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters. CoRR abs/2303.09437 (2023) - [i17]Zachary Morrison, Benjamin P. Russo, Yingzhao Lian, Rushikesh Kamalapurkar:
Fault Detection via Occupation Kernel Principal Component Analysis. CoRR abs/2303.11138 (2023) - [i16]Xinliang Dai, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Veit Hagenmeyer:
Hypergraph-Based Fast Distributed AC Power Flow Optimization. CoRR abs/2307.06728 (2023) - [i15]Jicheng Shi, Yingzhao Lian, Christophe Salzmann, Colin N. Jones:
Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland. CoRR abs/2307.08866 (2023) - 2022
- [i14]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Data-driven input reconstruction and experimental validation. CoRR abs/2203.02827 (2022) - [i13]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 abs/2205.15703 (2022) - [i12]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 abs/2206.05697 (2022) - [i11]Ying Zhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones:
An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. CoRR abs/2206.10425 (2022) - [i10]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 abs/2210.13171 (2022) - 2021
- [i9]Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. CoRR abs/2101.03187 (2021) - [i8]Ying Zhao Lian, Renzi Wang, Colin N. Jones:
Koopman based data-driven predictive control. CoRR abs/2102.05122 (2021) - [i7]Ying Zhao Lian, Colin N. Jones:
From System Level Synthesis to Robust Closed-loop Data-enabled Predictive Control. CoRR abs/2102.06553 (2021) - [i6]Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Resource-Aware Stochastic Self-Triggered Model Predictive Control. CoRR abs/2103.05681 (2021) - [i5]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 abs/2106.05740 (2021) - [i4]Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Robust Resource-Aware Self-triggered Model Predictive Control. CoRR abs/2112.00860 (2021) - 2020
- [i3]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
A Unified Framework for Reinforcement Learning. CoRR abs/2002.06883 (2020) - [i2]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 abs/2010.15153 (2020) - [i1]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Robust Learning Model Predictive Control for Periodically Correlated Building Control. CoRR abs/2011.13781 (2020)
Coauthor Index
aka: Colin Neil Jones
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