2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)最新文献_第10页

Velocity tracking control of AUVs in horizontal motion 水下机器人水平运动速度跟踪控制

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739736

P. Herman, W. Kowalczyk

引用次数: 1

Optimal sensor placement for classifier-based leak localization in drinking water networks 基于分类器的饮用水管网泄漏定位的传感器优化配置

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739771

Adrià Soldevila, Sebastian Tornil-Sin, R. M. Fernández-Cantí, J. Blesa, V. Puig

引用次数: 6

Temporal-difference Q-learning in active fault diagnosis 主动故障诊断中的时间差q学习

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739765

Jan Škach, Ivo Punčochář, F. Lewis

引用次数: 5

A kinematic joint fault tolerant control based on relative jacobian method for dual arm manipulation systems 基于相对雅可比法的双臂操作系统运动关节容错控制

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739726

A. Freddi, S. Longhi, A. Monteriù, D. Ortenzi

引用次数: 6

A NLPCA hybrid approach for AUV thrusters fault detection and isolation 基于NLPCA的AUV推进器故障检测与隔离

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739737

F. Fabiani, S. Grechi, Simone Della Tommasina, A. Caiti

引用次数: 6

Robust state estimation and fault detection combining unknown input observer and set-membership approach 结合未知输入观测器和集隶属度方法的鲁棒状态估计与故障检测

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739730

Feng Xu, Junbo Tan, Xueqian Wang, V. Puig, Houde Liu, Bin Liang, Bo Yuan

{"title":"Robust state estimation and fault detection combining unknown input observer and set-membership approach","authors":"Feng Xu, Junbo Tan, Xueqian Wang, V. Puig, Houde Liu, Bin Liang, Bo Yuan","doi":"10.1109/SYSTOL.2016.7739730","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739730","url":null,"abstract":"This paper aims to propose a new robust state-estimation and fault-detection method by combining the unknown input observer (UIO) and the set-membership estimator (SME). It is known that both the SUIO and the SME can be used to estimate the states of a system. The former aims to obtain a particular value by actively decoupling the effect of unknown inputs, while the latter can obtain state-estimation sets by prediction and correction based on the set theory. Instead of particular state values, the latter can obtain state-estimation sets guaranteeing to contain system states (i.e., robust state estimation). In this paper, we propose to use the framework of the UIO to actively decouple part of unknown inputs and then further employ the set-membership estimation method to estimate state sets and detect faults. The objective of the proposed method is to reduce the conservatism of robust state-estimation sets by using the UIO to remove the contribution of part of unknown inputs to the sizes of state-estimation sets. At the end of this paper, a numerical example is used to illustrate the effectiveness and advantages of the proposed approach.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976090","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: 4

Sensor fault tolerance in output feedback nonlinear model predictive control 输出反馈非线性模型预测控制中的传感器容错

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739832

B. Knudsen, A. Alessandretti, C. Jones

引用次数: 6

Hierarchical fault-tolerant control of a quadrotor based on fault severity 基于故障严重程度的四旋翼分层容错控制

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739825

Abdel-Razzak Merheb, F. Bateman, H. Noura, Younes Al Younes

引用次数: 1

Prognosis of quality sensors in the Barcelona drinking water network 巴塞罗那饮用水网络质量传感器的预测

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739790

D. García, Ramon Creus, Meritxell Minoves, X. Pardo, J. Quevedo, V. Puig

{"title":"Prognosis of quality sensors in the Barcelona drinking water network","authors":"D. García, Ramon Creus, Meritxell Minoves, X. Pardo, J. Quevedo, V. Puig","doi":"10.1109/SYSTOL.2016.7739790","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739790","url":null,"abstract":"One of the most important areas of the water utilities is the water quality management. This area is responsible of guaranteeing safety in the water supply to the citizens. The strategy to guarantee the safety is based on two principal elements: disinfection and monitoring. Disinfection techniques, such as chlorination, allow to prevent the growing of microorganisms present in the water. Moreover, in order to guarantee this safety in the whole water network and avoid any unexpected event, on-line sensors are required to monitor a set of quality parameters. The whole process is based on the assumption that the information retrieved from quality sensors is totally reliable. But due to the complexity of the calibration and maintenance of these chemical sensors, several factors affect the accuracy of the raw data collected. Consequently, any decision based on this raw data might be based on a non solid base. Therefore, this work presents a data analytics approach consisting in two modules: fault diagnosis and prognosis. The fault diagnosis module first discerns if a sensor is detecting a real change on water quality parameters or actually is providing inconsistent information due to some malfunction. The prognosis module aims to predict the fault instant due to a slow degradation, which is very common in chlorine sensors. This approach allows to apply a predictive maintenance strategy reducing corrective actions. The proposed methodology has been satisfactorily tested on the Barcelona Drinking Water Network.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119956","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: 4

A set based approach for SFDI on small commercial aircraft 一种基于集合的小型商用飞机SFDI方法

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Pub Date : 2016-09-01 DOI: 10.1109/SYSTOL.2016.7739827

M. Mattei, Luciano Ollio, V. Scordamaglia

引用次数: 2