Annual Reviews in Control最新文献_第5页

Lateral control for autonomous vehicles: A comparative evaluation 自动驾驶汽车横向控制:比较评价

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-11-03 DOI: 10.1016/j.arcontrol.2023.100910

Antonio Artuñedo, Marcos Moreno-Gonzalez, Jorge Villagra

引用次数: 0

A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS) 反馈粒子滤波及相关可控相互作用粒子系统(CIPS)综述

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-03 DOI: 10.48550/arXiv.2301.00935

A. Taghvaei, P. Mehta

引用次数: 6

Modeling and control of overhead cranes: A tutorial overview and perspectives 桥式起重机的建模和控制:教程概述和观点

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.03.002

Mohammad Rasool Mojallizadeh , Bernard Brogliato , Christophe Prieur

引用次数: 3

A review of current state-of-the-art control methods for lower-limb powered prostheses 下肢动力假肢的控制方法综述

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.03.003

Rachel Gehlhar , Maegan Tucker , Aaron J. Young , Aaron D. Ames

{"title":"A review of current state-of-the-art control methods for lower-limb powered prostheses","authors":"Rachel Gehlhar , Maegan Tucker , Aaron J. Young , Aaron D. Ames","doi":"10.1016/j.arcontrol.2023.03.003","DOIUrl":"10.1016/j.arcontrol.2023.03.003","url":null,"abstract":"<div><p>Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb amputations. While the design of lower-limb prostheses is important, this paper focuses on the complementary challenge—the control of lower-limb prostheses. Specifically, we focus on powered prostheses, a subset of lower-limb prostheses, which utilize actuators to inject mechanical power into the walking gait of a human user.</p><p>In this paper, we present a review of existing control strategies for lower-limb powered prostheses, including the control objectives, sensing capabilities, and control methodologies. We separate the various control methods into three main tiers of prosthesis control: High-level control for task and gait phase estimation, mid-level control for desired torque computation (both with and without the use of reference trajectories), and low-level control for enforcing the computed torque commands on the prosthesis. In particular, we focus on the high- and mid-level control approaches in this review. Additionally, we outline existing methods for customizing the prosthetic behavior for individual human users. Finally, we conclude with a discussion on future research directions for powered lower-limb prostheses based on the potential of current control methods and open problems in the field.</p></div>","PeriodicalId":50750,"journal":{"name":"Annual Reviews in Control","volume":"55 ","pages":"Pages 142-164"},"PeriodicalIF":9.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10107806","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: 4

Leakage diagnosis with a contamination mitigation control framework using a graph theory based model 基于图论模型的污染缓解控制框架下的泄漏诊断

IF 9.4 2区计算机科学

Annual Reviews in Control Pub Date : 2023-01-01 DOI: 10.1016/j.arcontrol.2023.03.010

Saruch Satishkumar Rathore , Rahul Misra , Carsten Skovmose Kallesøe , Rafal Wisniewski

引用次数: 1

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