2022 UKACC 13th International Conference on Control (CONTROL)最新文献_第5页

Extended Abstract: Intelligent Position Anchoring for Collaborative Unmanned Surface-Aerial Vehicle 扩展摘要:协同无人机的智能位置锚定

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI: 10.1109/Control55989.2022.9781443

M. H. Nordin, S. Rajendran, Sanjay K. Sharma, Asiya Khan, M. Gianni, R. Sutton

引用次数: 0

Guaranteed state estimation using H∞ interval approaches for space applications: a case study 空间应用中使用H∞区间方法的保证状态估计:一个案例研究

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI: 10.1109/Control55989.2022.9781458

Irryhl Mohammedi, D. Gucik-Derigny, D. Henry

{"title":"Guaranteed state estimation using H∞ interval approaches for space applications: a case study","authors":"Irryhl Mohammedi, D. Gucik-Derigny, D. Henry","doi":"10.1109/Control55989.2022.9781458","DOIUrl":"https://doi.org/10.1109/Control55989.2022.9781458","url":null,"abstract":"The general context of this short communication, is the development and the application of the guaranteed state estimation observer–based interval techniques, to improve the navigation unit used in space missions. A H ∞ constraint is also considered in the design of the interval observer, to formulate robustness performance against sensor misalignment errors, noises and other unknown inputs that may affect the estimation. The application support is the Microscope satellite which is a scientific mission launched in 2016. A functional engineering simulator (FES) of the Microscope mission is used to assess the performance of the proposed state estimation interval techniques. The FES includes highly representative models of sensors and actuators, and Dynamics Kinematics and Environment (DKE) models. The environment modules (within DKE) contain the spatial disturbances that affect the rotational and translational dynamics of the satellite. The considered disturbances are the magnetic field, the aerodynamic drag, the gravitational disturbances, the solar and the albedo radiations.","PeriodicalId":101892,"journal":{"name":"2022 UKACC 13th International Conference on Control (CONTROL)","volume":"27 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120823012","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

An Integrated Risk Assessment and Collision Avoidance Methodology for an Autonomous Catamaran with Fuzzy Weighting Functions 基于模糊加权函数的自主双体船综合风险评估与避碰方法

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI: 10.1109/Control55989.2022.9781453

Pouria Sarhadi, W. Naeem, N. Athanasopoulos

引用次数: 2

Data-Driven Based Modelling of Pressure Dynamics in Multiphase Reservoir Model 基于数据驱动的多相油藏压力动态建模

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI: 10.1109/Control55989.2022.9781447

Aliyuda Ali, U. Diala, Lingzhong Guo

{"title":"Data-Driven Based Modelling of Pressure Dynamics in Multiphase Reservoir Model","authors":"Aliyuda Ali, U. Diala, Lingzhong Guo","doi":"10.1109/Control55989.2022.9781447","DOIUrl":"https://doi.org/10.1109/Control55989.2022.9781447","url":null,"abstract":"Secondary recovery involves injecting water or gas into reservoirs to maintain or boost the pressure and sustain production levels at viable rates. Accurate tracking of pressure dynamics as reservoirs produce under secondary production is one of the challenging tasks in reservoir modelling. In this paper, a data-driven based technique called Dynamic Mode Learning (DML) that aims to provide an efficient alternative approach for learning and decomposing pressure dynamics in multiphase reservoir model that produces under secondary recovery is proposed. Existing algorithms suffer from complexity and thereby resulting to expensive computational demand. The proposed DML technique is developed in the form of a learning system by first, constructing a simple, fast and efficient learning system that extracts important features from original full-state data and places them in a low-dimensional representation as extracted features. The extracted features are then used to reduce the original high-dimensional data after which dynamic modes are computed on the reduced data. The performance of the proposed DML method is illustrated on pressure field data generated from direct numerical simulations. Experimental results performed on the reference data reveal that the proposed DML method exhibits better and effective performance over standard and compressed dynamic mode decomposition (DMD) mainstream algorithms.","PeriodicalId":101892,"journal":{"name":"2022 UKACC 13th International Conference on Control (CONTROL)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121993140","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: 1

Varying Boundary Layer Sliding Mode Control of an Integrated Hydraulic Actuator 集成液压执行器的变边界层滑模控制

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI: 10.1109/Control55989.2022.9781369

Dom Wilson, Ioannis Georgilas, A. Plummer, Pejman Iravani, Dhinesh Sangiah

引用次数: 0

Development of vision-based object tracking fish robot 基于视觉的目标跟踪鱼机器人的研制

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI: 10.1109/Control55989.2022.9781455

Daxiong Ji, Faizan ur Rehman, Syed Ali Ajwad, Syed Agha Hassnain Mohsan, Amjad Ali Amjad, Shuai Zhou, Sanjay K. Sharma, R. Sutton

引用次数: 0