arXiv - EE - Systems and Control最新文献_第8页

Optimal Management of Grid-Interactive Efficient Buildings via Safe Reinforcement Learning 通过安全强化学习优化网格互动高效建筑管理

arXiv - EE - Systems and Control Pub Date : 2024-09-12 DOI: arxiv-2409.08132

Xiang Huo, Boming Liu, Jin Dong, Jianming Lian, Mingxi Liu

{"title":"Optimal Management of Grid-Interactive Efficient Buildings via Safe Reinforcement Learning","authors":"Xiang Huo, Boming Liu, Jin Dong, Jianming Lian, Mingxi Liu","doi":"arxiv-2409.08132","DOIUrl":"https://doi.org/arxiv-2409.08132","url":null,"abstract":"Reinforcement learning (RL)-based methods have achieved significant success\u0000in managing grid-interactive efficient buildings (GEBs). However, RL does not\u0000carry intrinsic guarantees of constraint satisfaction, which may lead to severe\u0000safety consequences. Besides, in GEB control applications, most existing safe\u0000RL approaches rely only on the regularisation parameters in neural networks or\u0000penalty of rewards, which often encounter challenges with parameter tuning and\u0000lead to catastrophic constraint violations. To provide enforced safety\u0000guarantees in controlling GEBs, this paper designs a physics-inspired safe RL\u0000method whose decision-making is enhanced through safe interaction with the\u0000environment. Different energy resources in GEBs are optimally managed to\u0000minimize energy costs and maximize customer comfort. The proposed approach can\u0000achieve strict constraint guarantees based on prior knowledge of a set of\u0000developed hard steady-state rules. Simulations on the optimal management of\u0000GEBs, including heating, ventilation, and air conditioning (HVAC), solar\u0000photovoltaics, and energy storage systems, demonstrate the effectiveness of the\u0000proposed approach.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems 通信的价值：分布式线性网络物理系统的数据驱动拓扑优化

arXiv - EE - Systems and Control Pub Date : 2024-09-12 DOI: arxiv-2409.08116

Michael Nestor, Fei Teng

引用次数: 0

Covariance Intersection-based Invariant Kalman Filtering(DInCIKF) for Distributed Pose Estimation 基于协方差交叉的卡尔曼滤波（DInCIKF）用于分布式姿势估计

arXiv - EE - Systems and Control Pub Date : 2024-09-12 DOI: arxiv-2409.07933

Haoying Li, Xinghan Li, Shuaiting Huang, Chao yang, Junfeng Wu

引用次数: 0

Disturbance-Robust Backup Control Barrier Functions: Safety Under Uncertain Dynamics 扰动-稳健后备控制屏障功能：不确定动态下的安全性

arXiv - EE - Systems and Control Pub Date : 2024-09-12 DOI: arxiv-2409.07700

David E. J. van Wijk, Samuel Coogan, Tamas G. Molnar, Manoranjan Majji, Kerianne L. Hobbs

{"title":"Disturbance-Robust Backup Control Barrier Functions: Safety Under Uncertain Dynamics","authors":"David E. J. van Wijk, Samuel Coogan, Tamas G. Molnar, Manoranjan Majji, Kerianne L. Hobbs","doi":"arxiv-2409.07700","DOIUrl":"https://doi.org/arxiv-2409.07700","url":null,"abstract":"Obtaining a controlled invariant set is crucial for safety-critical control\u0000with control barrier functions (CBFs) but is non-trivial for complex nonlinear\u0000systems and constraints. Backup control barrier functions allow such sets to be\u0000constructed online in a computationally tractable manner by examining the\u0000evolution (or flow) of the system under a known backup control law. However,\u0000for systems with unmodeled disturbances, this flow cannot be directly computed,\u0000making the current methods inadequate for assuring safety in these scenarios.\u0000To address this gap, we leverage bounds on the nominal and disturbed flow to\u0000compute a forward invariant set online by ensuring safety of an expanding norm\u0000ball tube centered around the nominal system evolution. We prove that this set\u0000results in robust control constraints which guarantee safety of the disturbed\u0000system via our Disturbance-Robust Backup Control Barrier Function (DR-BCBF)\u0000solution. Additionally, the efficacy of the proposed framework is demonstrated\u0000in simulation, applied to a double integrator problem and a rigid body\u0000spacecraft rotation problem with rate constraints.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Critical link identification of power system vulnerability based on modified graph attention network 基于修正图注意网络的电力系统脆弱性关键环节识别

arXiv - EE - Systems and Control Pub Date : 2024-09-12 DOI: arxiv-2409.07785

Changgang Wang, Xianwei Wang, Yu Cao, Yang Li, Qi Lv, Yaoxin Zhang

{"title":"Critical link identification of power system vulnerability based on modified graph attention network","authors":"Changgang Wang, Xianwei Wang, Yu Cao, Yang Li, Qi Lv, Yaoxin Zhang","doi":"arxiv-2409.07785","DOIUrl":"https://doi.org/arxiv-2409.07785","url":null,"abstract":"With the expansion of the power grid and the increase of the proportion of\u0000new energy sources, the uncertainty and random factors of the power grid\u0000increase, endangering the safe operation of the system. It is particularly\u0000important to find out the critical links of vulnerability in the power grid to\u0000ensure the reliability of the power grid operation. Aiming at the problem that\u0000the identification speed of the traditional critical link of vulnerability\u0000identification methods is slow and difficult to meet the actual operation\u0000requirements of the power grid, the improved graph attention network (IGAT)\u0000based identification method of the critical link is proposed. First, the\u0000evaluation index set is established by combining the complex network theory and\u0000the actual operation data of power grid. Secondly, IGAT is used to dig out the\u0000mapping relationship between various indicators and critical links of\u0000vulnerability during the operation of the power grid, establish the\u0000identification model of critical links of vulnerability, and optimize the\u0000original graph attention network considering the training accuracy and\u0000efficiency. Thirdly, the original data set is obtained through simulation, and\u0000the identification model is trained, verified and tested. Finally, the model is\u0000applied to the improved IEEE 30-node system and the actual power grid, and the\u0000results show that the proposed method is feasible, and the accuracy and speed\u0000are better than that of traditional methods. It has certain engineering\u0000utilization value.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning of Dynamic Systems using System Identification Toolbox(TM) 使用系统识别工具箱（TM）对动态系统进行深度学习

arXiv - EE - Systems and Control Pub Date : 2024-09-11 DOI: arxiv-2409.07642

Tianyu Dai, Khaled Aljanaideh, Rong Chen, Rajiv Singh, Alec Stothert, Lennart Ljung

引用次数: 0

An Improved Height Difference Based Model of Height Profile for Drop-on-Demand 3D Printing With UV Curable Ink 基于高度差的改进型高度轮廓模型，用于使用 UV 固化油墨的按需滴墨式 3D 打印

arXiv - EE - Systems and Control Pub Date : 2024-09-11 DOI: arxiv-2409.07021

Yumeng Wu, George Chiu

引用次数: 0

Distributed Controller Design for Discrete-Time Systems Via the Integration of Extended LMI and Clique-Wise Decomposition 通过整合扩展 LMI 和 Clique-Wise 分解实现离散时间系统的分布式控制器设计

arXiv - EE - Systems and Control Pub Date : 2024-09-11 DOI: arxiv-2409.07666

Sotaro Fushimi, Yuto Watanabe, Kazunori Sakurama

引用次数: 0

An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild 用于野外自主空中操纵的开源软机器人平台

arXiv - EE - Systems and Control Pub Date : 2024-09-11 DOI: arxiv-2409.07662

Erik Bauer, Marc Blöchlinger, Pascal Strauch, Arman Raayatsanati, Curdin Cavelti, Robert K. Katzschmann

{"title":"An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild","authors":"Erik Bauer, Marc Blöchlinger, Pascal Strauch, Arman Raayatsanati, Curdin Cavelti, Robert K. Katzschmann","doi":"arxiv-2409.07662","DOIUrl":"https://doi.org/arxiv-2409.07662","url":null,"abstract":"Aerial manipulation combines the versatility and speed of flying platforms\u0000with the functional capabilities of mobile manipulation, which presents\u0000significant challenges due to the need for precise localization and control.\u0000Traditionally, researchers have relied on offboard perception systems, which\u0000are limited to expensive and impractical specially equipped indoor\u0000environments. In this work, we introduce a novel platform for autonomous aerial\u0000manipulation that exclusively utilizes onboard perception systems. Our platform\u0000can perform aerial manipulation in various indoor and outdoor environments\u0000without depending on external perception systems. Our experimental results\u0000demonstrate the platform's ability to autonomously grasp various objects in\u0000diverse settings. This advancement significantly improves the scalability and\u0000practicality of aerial manipulation applications by eliminating the need for\u0000costly tracking solutions. To accelerate future research, we open source our\u0000ROS 2 software stack and custom hardware design, making our contributions\u0000accessible to the broader research community.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low carbon optimal scheduling of integrated energy system considering waste heat utilization under the coordinated operation of incineration power plant and P2G 焚烧发电厂与 P2G 协同运行下考虑余热利用的综合能源系统低碳优化调度

arXiv - EE - Systems and Control Pub Date : 2024-09-11 DOI: arxiv-2409.07254

Limeng Wang, Shuo Wang, Na Wang, Yuze Ma, Yang Li

{"title":"Low carbon optimal scheduling of integrated energy system considering waste heat utilization under the coordinated operation of incineration power plant and P2G","authors":"Limeng Wang, Shuo Wang, Na Wang, Yuze Ma, Yang Li","doi":"arxiv-2409.07254","DOIUrl":"https://doi.org/arxiv-2409.07254","url":null,"abstract":"In order to improve energy utilization and reduce carbon emissions, this\u0000paper presents a comprehensive energy system economic operation strategy of\u0000Incineration power plant Power-to-gas (P2G) with waste heat recovery. First,\u0000consider the coordinated operation of Incineration power plant - P2G, introduce\u0000the refined Power-to-gas two-stage operation process, add Hydrogen fuel cells\u0000on the basis of traditional Power-to-gas to reduce the energy ladder loss, and\u0000recycle the Methanation reaction heat; Secondly, in order to improve the energy\u0000utilization efficiency of Incineration, it is considered to install a waste\u0000heat recovery device containing a water source heat pump to recover the waste\u0000heat of flue gas and consume some electric energy, sourced from wind power, and\u0000add a CO2 separation device to combine the recovered CO2 with P2G to synthesize\u0000CH4 to achieve carbon recycling. Finally, within the framework of a tiered\u0000carbon trading mechanism an IES optimization model for electricity-heat with\u0000the goal of minimizing the system operating cost is constructed, and the GUROBI\u0000modeling optimization engine is used to solve this model. The results verify\u0000the effectiveness of the model.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0