Annual Reviews in Control最新文献_第6页

Special section: Smart water systems 专题:智能水系统

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.04.003

Marios M. Polycarpou , Iven Mareels , Ahmad F. Taha , Demetrios G. Eliades

引用次数: 0

Dynamics of opinion formation, social power evolution, and naïve learning in social networks 社会网络中意见形成、社会权力演化和naïve学习的动态

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.04.001

Ye Tian , Long Wang

{"title":"Dynamics of opinion formation, social power evolution, and naïve learning in social networks","authors":"Ye Tian , Long Wang","doi":"10.1016/j.arcontrol.2023.04.001","DOIUrl":"https://doi.org/10.1016/j.arcontrol.2023.04.001","url":null,"abstract":"<div><p>The past few decades have witnessed a prevalence of applying dynamical models to the study of social networks. This paper reviews recent advances in the investigation of social networks with a predominant focus on agent-based models. Starting from classical models of opinion dynamics, we survey several recently developed models on opinion formation and social power evolution. These models extend the classical models’ cognitive assumption that individuals’ opinions evolve on a single issue by incorporating various sociological or psychological hypotheses to account for the evolution of opinions over multiple or a sequence of interdependent issues. We summarize basic results on the asymptotic behaviors of these models and discuss their sociological interpretations. In addition, we show how these models play a role in the emergence of collective intelligence by applying them to a naïve learning setting. Novel results that reveal how individuals successfully learn an unknown truth over issue sequences are presented. Finally, we conclude the paper and discuss potential directions for future research.</p></div>","PeriodicalId":50750,"journal":{"name":"Annual Reviews in Control","volume":"55 ","pages":"Pages 182-193"},"PeriodicalIF":9.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49739355","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

Model predictive path tracking control for automated road vehicles: A review 自动道路车辆模型预测路径跟踪控制综述

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2022.11.001

P. Stano , U. Montanaro , D. Tavernini , M. Tufo , G. Fiengo , L. Novella , A. Sorniotti

{"title":"Model predictive path tracking control for automated road vehicles: A review","authors":"P. Stano , U. Montanaro , D. Tavernini , M. Tufo , G. Fiengo , L. Novella , A. Sorniotti","doi":"10.1016/j.arcontrol.2022.11.001","DOIUrl":"https://doi.org/10.1016/j.arcontrol.2022.11.001","url":null,"abstract":"<div><p>Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In the last decade, automated driving has been the focus of intensive automotive engineering research, with the support of industry and governmental organisations. In automated driving systems, the path tracking layer defines the actuator commands to follow the reference path and speed profile. Model predictive control (MPC) is widely used for trajectory tracking because of its capability of managing multi-variable problems, and systematically considering constraints on states and control actions, as well as accounting for the expected future behaviour of the system. Despite the very large number of publications of the last few years, the literature lacks a comprehensive and updated survey on MPC for path tracking. To cover the gap, this literature review deals with the research conducted from 2015 until 2021 on model predictive path tracking control. Firstly, the survey highlights the significance of MPC in the recent path tracking control literature, with respect to alternative control structures. After classifying the different typologies of MPC for path tracking control, the adopted prediction models are critically analysed, together with typical optimal control problem formulations. This is followed by a summary of the most relevant results, which provides practical design indications, e.g., in terms of selection of prediction and control horizons. Finally, the most recent development trends are analysed, together with likely areas of further investigations, and the main conclusions are drawn.</p></div>","PeriodicalId":50750,"journal":{"name":"Annual Reviews in Control","volume":"55 ","pages":"Pages 194-236"},"PeriodicalIF":9.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49739356","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: 12

Contamination event diagnosis in drinking water networks: A review 饮用水管网污染事件诊断研究进展

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.03.011

Demetrios G. Eliades , Stelios G. Vrachimis , Alireza Moghaddam , Ioannis Tzortzis , Marios M. Polycarpou

引用次数: 1

Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems 在sir型系统中将NMPC转换为流行病学和社会经济控制目标

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100901

J.E. Sereno , A. D’Jorge , A. Ferramosca , E.A. Hernandez-Vargas , A.H. González

引用次数: 0

Learning controllers for nonlinear systems from data 从数据中学习非线性系统控制器

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.100915

C. De Persis , P. Tesi

引用次数: 1

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