Yingzhao Lian

Cette personne n’est plus à l’EPFL

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Publications associées (23)

Hypergraph-Based Fast Distributed AC Power Flow Optimization

Colin Neil Jones, Yuning Jiang, Yingzhao Lian, Xinliang Dai

This paper presents a novel distributed approach for solving AC power flow (PF) problems. The optimization problem is reformulated into a distributed form using a communication structure corresponding to a hypergraph, by which complex relationships between ...

IEEE2023

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller

Colin Neil Jones, Giancarlo Ferrari Trecate, Emilio Maddalena, Yingzhao Lian

In this technical article, we analyze the performance improvement and optimality properties of the learning model predictive control (LMPC) strategy for linear deterministic systems. The LMPC framework is a policy iteration scheme where closed-loop traject ...

2023

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Smart home appliances can time-shift and curtail their power demand to assist demand side management or allow operation with limited power, as in an off-grid application. This letter proposes a scheduling process to start appliances with time-varying deter ...

2022

Data-Driven Input Reconstruction and Experimental Validation

Colin Neil Jones, Jicheng Shi, Yingzhao Lian

This letter proposes a data-driven input reconstruction method from outputs (IRO) based on the Willems' Fundamental Lemma. Given only output measurements, the unknown inputsestimated recursively by the IRO asymptotically converge to the true input without ...

2022

Robust Resource-Aware Self-Triggered Model Predictive Control

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

The wide adoption of wireless devices in the Internet of Things requires controllers that are able to operate with limited resources, such as battery life. Operating these devices robustly in an uncertain environment, while managing available resources, in ...

2022

Robust Learning Model Predictive Control for Periodically Correlated Building Control

Colin Neil Jones, Jicheng Shi, Yingzhao Lian

Accounting for more than 40% of global energy consumption, residential and commercial buildings will be key players in any future green energy systems. To fully exploit their potential while ensuring occupant comfort, a robust control scheme is required to ...

2021

Nonlinear Data-Enabled Prediction and Control

Colin Neil Jones, Yingzhao Lian

Behavioral theory, which characterizes linear dynamics with measured trajectories, has found successful applications in controller design and signal processing. However, the extension of behavioral theory to general nonlinear system remains an open questio ...

PMLR2021

Resource-Aware Stochastic Self-Triggered Model Predictive Control

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

This letter considers the control of uncertain systems operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware self-triggered control techniques that schedule system operation non-uniformly in ti ...

2021

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control

Colin Neil Jones, Yingzhao Lian

Willems' fundamental lemma and system level synthesis both characterize a linear dynamic system by its input/output sequences. In this work, we show that the extension of the fundamental lemma in uncertain LTI systems is equivalent to the system level synt ...

IEEE2021

Joint Energy Management for Distributed Energy Harvesting Systems

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Employing energy harvesting to power the Internet of Things supports their long-term, self-sustainable, and maintenance-free operation. These energy harvesting systems have an energy management subsystem to orchestrate the flow of energy and optimize their ...

Association for Computing Machinery2021

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