Search Results for author: Yingzhao Lian

Found 13 papers, 4 papers with code

SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning

no code implementations19 Feb 2024 Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu

In this paper, we propose a novel solver-layer adaptation (SoLA) method, where we introduce a solver as a new layer of the LLM to differentially guide solutions towards satisfiability.

Logical Reasoning

Efficient Recursive Data-enabled Predictive Control (Extended Version)

no code implementations24 Sep 2023 Jicheng Shi, Yingzhao Lian, Colin N. Jones

This is exemplified through a comparison to Subspace Predictive Control, where the algorithm achieves asymptotically consistent prediction for stochastic linear time-invariant systems.

Model Predictive Control

Adaptive Data-Driven Prediction in a Building Control Hierarchy: A Case Study of Demand Response in Switzerland

2 code implementations17 Jul 2023 Jicheng Shi, Yingzhao Lian, Christophe Salzmann, Colin N. Jones

By providing various services, such as Demand Response (DR), buildings can play a crucial role in the energy market due to their significant energy consumption.

LEMMA

Fault Detection via Occupation Kernel Principal Component Analysis

1 code implementation20 Mar 2023 Zachary Morrison, Benjamin P. Russo, Yingzhao Lian, Rushikesh Kamalapurkar

The reliable operation of automatic systems is heavily dependent on the ability to detect faults in the underlying dynamical system.

Fault Detection

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

no code implementations16 Mar 2023 Yingzhao Lian, Jicheng Shi, Colin N. Jones

(Extended Version) Data-driven control can facilitate the rapid development of controllers, offering an alternative to conventional approaches.

Decision Making

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

1 code implementation24 Oct 2022 Jiawei Wang, Yingzhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones

This algorithm achieves both computation and communication efficiency, as well as trajectory data privacy, through parallel calculation.

LEMMA

Scheduling Delays and Curtailment for Household Appliances with Deterministic Load Profiles using MPC

no code implementations12 Jun 2022 Yingzhao Lian, Yuning Jiang, Colin N. Jones, Daniel F. Opila

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.

Management Model Predictive Control +1

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

no code implementations31 May 2022 Loris Di Natale, Yingzhao Lian, Emilio T. Maddalena, Jicheng Shi, Colin N. Jones

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.

Gaussian Processes Model Predictive Control +2

Data-driven input reconstruction and experimental validation

1 code implementation5 Mar 2022 Jicheng Shi, Yingzhao Lian, Colin N. Jones

This paper addresses a data-driven input reconstruction problem based on Willems' Fundamental Lemma in which unknown input estimators (UIEs) are constructed directly from historical I/O data.

LEMMA UIE

Robust Resource-Aware Self-triggered Model Predictive Control

no code implementations1 Dec 2021 Yingzhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones

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.

Model Predictive Control

Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result

no code implementations10 Jun 2021 Yingzhao Lian, Jicheng Shi, Manuel Koch, Colin Neil Jones

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

LEMMA

Robust Learning Model Predictive Control for Periodically Correlated Building Control

no code implementations27 Nov 2020 Jicheng Shi, Yingzhao Lian, Colin N. Jones

Accounting for more than 40% of global energy consumption, residential and commercial buildings will be key players in any future green energy systems.

Model Predictive Control

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