Publications by Yingzhao Lian | EPFL Graph Search

Adaptive data-driven prediction in a building control hierarchy: A case study of demand response in Switzerland

Colin Neil Jones, Christophe Salzmann, Jicheng Shi, Yingzhao Lian

By providing various services, such as Incentive-based Demand Response (IBDR), buildings can play a crucial role in the energy market due to their significant energy consumption. However, effectively commissioning buildings for such desired functionalities ...

2025

Efficient Recursive Data-enabled Predictive Control

Colin Neil Jones, Jicheng Shi, Yingzhao Lian

In the field of model predictive control, Dataenabled Predictive Control (DeePC) offers direct predictive control, bypassing traditional modeling. However, challenges emerge with increased computational demand due to recursive data updates. This paper intr ...

IEEE2024

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters

Colin Neil Jones, Jicheng Shi, Yingzhao Lian

Data-driven control can facilitate the rapid development of controllers, offering an alternative to conventional approaches. In order to maintain consistency between any known underlying physical laws and a data-driven decision-making process, preprocessin ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Self-triggered Control with Energy Harvesting Sensor Nodes

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Distributed embedded systems are pervasive components jointly operating in a wide range of applications. Moving toward energy harvesting powered systems enables their long-term, sustainable, scalable, and maintenance-free operation. When these systems are ...

ASSOC COMPUTING MACHINERY2023

Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, datadriven predictive control techniques allow for CAV safe and optimal control with ...

Pergamon-Elsevier Science Ltd2023

Data-driven Methods for Control: from Linear to Lifting

Yingzhao Lian

The progress towards intelligent systems and digitalization relies heavily on the use of automation technology. However, the growing diversity of control objects presents significant challenges for traditional control approaches, as they are highly depende ...

EPFL2023

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Colin Neil Jones, Loris Di Natale, Jicheng Shi, Emilio Maddalena, Yingzhao Lian

This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-driven control based on behavioral theory, and deep reinforcement learning. These ...

2023

Fault Detection via Occupation Kernel Principal Component Analysis

Yingzhao Lian

Reliable operation of automatic systems is heavily dependent on the ability to detect faults in the underlying dynamics. While traditional model-based methods have been widely used for fault detection, data-driven approaches have garnered increasing attent ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result

Colin Neil Jones, Jicheng Shi, Yingzhao Lian

Data-driven control approaches for the minimization of energy consumption of buildings have the potential to significantly reduce deployment costs and increase the uptake of advanced control in this sector. A number of recent approaches based on the applic ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Nonlinear model predictive control (NMPC) has been widely adopted to manipulate bilinear systems with dynamics that include products of the inputs and the states. These systems are ubiquitous in chemical processes, mechanical systems, and quantum physics, ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023