Annual Reviews in Control最新文献_第6页

Data-enabled learning and control algorithms for intelligent glucose management: The state of the art 智能葡萄糖管理的数据支持学习和控制算法:最先进的状态

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100897

Deheng Cai , Wenjing Wu , Marzia Cescon , Wei Liu , Linong Ji , Dawei Shi

引用次数: 0

A comprehensive review of modified Internal Model Control (IMC) structures and their filters for unstable processes 针对不稳定过程的改进内模控制(IMC)结构及其滤波器的综合综述

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.04.006

Anjana Ranjan , Utkal Mehta , Sahaj Saxena

引用次数: 2

Corrigendum to “Damping-enabling technologies for broadband control of piezo-stages: A survey” 《压电级宽带控制的使能阻尼技术:综述》的勘误表

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2022.01.002

Zhong Chen, Xineng Zhong, Junjie Shi, Xianmin Zhang

引用次数: 0

Empowering wave energy with control technology: Possibilities and pitfalls 用控制技术增强波浪能:可能性和缺陷

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.04.004

John V. Ringwood , Siyuan Zhan , Nicolás Faedo

{"title":"Empowering wave energy with control technology: Possibilities and pitfalls","authors":"John V. Ringwood , Siyuan Zhan , Nicolás Faedo","doi":"10.1016/j.arcontrol.2023.04.004","DOIUrl":"https://doi.org/10.1016/j.arcontrol.2023.04.004","url":null,"abstract":"<div><p>With an increasing focus on climate action and energy security, an appropriate mix of renewable energy technologies is imperative. Despite having considerable global potential, wave energy has still not reached a state of maturity or economic competitiveness to have made an impact. Challenges include the high capital and operational costs associated with deployment in the harsh ocean environment, so it is imperative that the full energy harnessing capacity of wave energy devices, and arrays of devices in farms, is realised. To this end, control technology has an important role to play in maximising power capture, while ensuring that physical system constraints are respected, and control actions do not adversely affect device lifetime. Within the gamut of control technology, a variety of tools can be brought to bear on the wave energy control problem, including various control strategies (optimal, robust, nonlinear, etc.), data-based model identification, estimation, and forecasting. However, the wave energy problem displays a number of unique features which challenge the traditional application of these techniques, while also presenting a number of control ‘paradoxes’. This review articulates the important control-related characteristics of the wave energy control problem, provides a survey of currently applied control and control-related techniques, and gives some perspectives on the outstanding challenges and future possibilities. The emerging area of control co-design, which is especially relevant to the relatively immature area of wave energy system design, is also covered.</p></div>","PeriodicalId":50750,"journal":{"name":"Annual Reviews in Control","volume":"55 ","pages":"Pages 18-44"},"PeriodicalIF":9.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49739407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Leak detection and localization in water distribution networks: Review and perspective 供水管网泄漏检测与定位:回顾与展望

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.03.012

Luis Romero-Ben , Débora Alves , Joaquim Blesa , Gabriela Cembrano , Vicenç Puig , Eric Duviella

引用次数: 4

State of art on state estimation: Kalman filter driven by machine learning 状态估计的研究现状:机器学习驱动的卡尔曼滤波

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100909

Yuting Bai , Bin Yan , Chenguang Zhou , Tingli Su , Xuebo Jin

{"title":"State of art on state estimation: Kalman filter driven by machine learning","authors":"Yuting Bai , Bin Yan , Chenguang Zhou , Tingli Su , Xuebo Jin","doi":"10.1016/j.arcontrol.2023.100909","DOIUrl":"https://doi.org/10.1016/j.arcontrol.2023.100909","url":null,"abstract":"<div><p>The Kalman filter<span> (KF) is a popular state estimation technique that is utilized in a variety of applications, including positioning and navigation, sensor networks, battery management, etc. This study presents a comprehensive review of the Kalman filter and its various enhanced models, with combining the Kalman filter with neural network methodologies. First, we provide a brief overview of the classical Kalman filter and its variants, including the extended Kalman filter<span> (EKF), unscented Kalman filter (UKF), cubature Kalman filter (CKF), etc. It is pointed out that the traditional Kalman filter faces two main problems: system model and noise model parameter identification. To overcome these obstacles, researchers have developed novel solutions by integrating machine learning techniques with the Kalman filter. Secondly, this paper classifies the related models into two categories: both the internal cross-combination of the Kalman filter and neural network and their external combinations. Two different hybrid models and typical structures show that the hybrid model performs more accurately and robustly overall. Finally, the characteristic of the two hybrid models is summarized so that readers can understand them more intuitively.</span></span></p></div>","PeriodicalId":50750,"journal":{"name":"Annual Reviews in Control","volume":"56 ","pages":"Article 100909"},"PeriodicalIF":9.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49740050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A unified concurrent-composition method to state/event inference and concealment in labeled finite-state automata as discrete-event systems 标记有限状态自动机离散事件系统状态/事件推理与隐藏的统一并发组合方法

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100902

Kuize Zhang

引用次数: 1

Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems 基于平均和奇异摄动理论的多时间尺度控制和优化:从ode到混合动力系统

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100926

Mahmoud Abdelgalil, Daniel E. Ochoa, Jorge I. Poveda

{"title":"Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems","authors":"Mahmoud Abdelgalil, Daniel E. Ochoa, Jorge I. Poveda","doi":"10.1016/j.arcontrol.2023.100926","DOIUrl":"https://doi.org/10.1016/j.arcontrol.2023.100926","url":null,"abstract":"<div><p>Multi-time scale techniques based on singular perturbations and averaging theory are among the most powerful tools developed for the synthesis and analysis of feedback control algorithms. This paper introduces some of the recent advances in singular perturbation theory and averaging theory for continuous-time dynamical systems modeled as ordinary differential equations (ODEs), as well as for hybrid dynamical systems that combine continuous-time dynamics and discrete-time dynamics. Novel multi-time scale analytical tools based on higher-order averaging and singular perturbation theory are also discussed and illustrated via different examples. In the context of hybrid dynamical systems, a class of sufficient Lyapunov-based conditions for global stability results are also presented. The analytical tools are illustrated through various new architectures and algorithms within the context of adaptive and extremum-seeking systems. These tools are suitable for the study of model-free optimization and stabilization problems that require the synergistic use of continuous-time and discrete-time feedback. The paper aims to acquaint the reader with a range of modern tools for studying multi-time scale phenomena in optimization and control systems, providing some guidelines for future research in this field.</p></div>","PeriodicalId":50750,"journal":{"name":"Annual Reviews in Control","volume":"56 ","pages":"Article 100926"},"PeriodicalIF":9.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1367578823000901/pdfft?md5=bf2297a434b63cf7c9074cea71bd8782&pid=1-s2.0-S1367578823000901-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138436737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PID control of quadrotor UAVs: A survey 四旋翼无人机的PID控制综述

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100900

Ivan Lopez-Sanchez, Javier Moreno-Valenzuela

引用次数: 7

Learning quadrotor dynamics for precise, safe, and agile flight control 学习四旋翼动力学精确，安全和灵活的飞行控制

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.03.009

Alessandro Saviolo, Giuseppe Loianno

引用次数: 8