2020 28th Mediterranean Conference on Control and Automation (MED)最新文献

Preview control of engine intake manifold pressure 发动机进气歧管压力预览控制

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9182966

Evgeny Shulga, P. Lanusse, T. Airimitoaie, S. Maurel, Arnaud Trutet

引用次数: 2

Attack Resilient Heterogeneous Vehicle Platooning Using Secure Distributed Nonlinear Model Predictive Control 基于安全分布非线性模型预测控制的攻击弹性异构车辆队列

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9183007

M. Basiri, N. Azad, S. Fischmeister

{"title":"Attack Resilient Heterogeneous Vehicle Platooning Using Secure Distributed Nonlinear Model Predictive Control","authors":"M. Basiri, N. Azad, S. Fischmeister","doi":"10.1109/MED48518.2020.9183007","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183007","url":null,"abstract":"Recently, vehicle platoons have offered significant enhancements in traffic management, energy consumption and safety in intelligent transportation systems. Despite the benefits brought by the platoons, they potentially suffer from insecure networks which provide the connectivity among the vehicles participating in the platoon. This paper deals with the secure control of vehicle platoons under the risk of a common cyber attack, namely Denial of Service (DoS) attack. A DoS intruder can endanger the security of platoon by jamming the communication network among the vehicles which is responsible to transmit inter-vehicular data throughout the platoon. This can potentially result in huge performance degradation or even hazardous collisions. We propose a secure distributed nonlinear model predictive control algorithm consisting of i) detection and ii) mitigation phases. The algorithm is capable of handling DoS attack performed on a platoon equipped by different communication topologies and at the same time it guarantees the desired formation control performance. Stability analysis of the attacked platoon running the given algorithm is also presented. Simulation results on a sample heterogeneous attacked platoon exploiting two-predecessor follower communication environment demonstrates the effectiveness of the method.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125321115","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: 11

A Rendezvous Algorithm for Multi-agent Systems in Disconnected Network Topologies 非连通网络拓扑下多智能体系统的会合算法

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9183093

Rafael Ribeiro, D. Silvestre, C. Silvestre

引用次数: 11

Towards Differential Diagnosis of Essential and Parkinson's Tremor via Machine Learning 通过机器学习鉴别诊断原发性震颤和帕金森震颤

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9182922

Vasileios Skaramagkas, G. Andrikopoulos, Z. Kefalopoulou, P. Polychronopoulos

引用次数: 5

A model of apoptosis receptor reactions to study cell fate decision 细胞凋亡受体反应模型研究细胞命运决定

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9183229

Luis C. Gomes-Pereira, M. Chaves, Jérémie Roux

引用次数: 1

Zonotopic Extended Kalman Filter For RUL Forecasting With Unknown Degradation Behaviors 退化行为未知的RUL预测的分区扩展卡尔曼滤波

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9182829

Ahmad Al-Mohamad, V. Puig, G. Hoblos

{"title":"Zonotopic Extended Kalman Filter For RUL Forecasting With Unknown Degradation Behaviors","authors":"Ahmad Al-Mohamad, V. Puig, G. Hoblos","doi":"10.1109/MED48518.2020.9182829","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9182829","url":null,"abstract":"This paper proposes a novel approach for Remaining Useful Life (RUL) forecasting using interval model-based prognostics techniques based on zonotopes without prior knowledge of the degradation behaviors of the system. Although Kalman filtering techniques have proved their estimation ability with Gaussian noises, an interval approach with zonotopic sets technique has been integrated for optimal estimation of parameters with unknown-but-bounded noises. Moreover, the proposed model-based prognostics technique has been applied to a DC-DC converter described as a nonlinear dynamical system affected by degradation behaviors. Thus, the estimated degraded parameters are adopted in the RUL prediction technique that propagates the zonotopic sets until the End-of-Life (EoL) of the system. In general, the technique is split into estimation and prediction phases using Zonotopic Extended Kalman Filter (ZEKF) to deal with the nonlinearities of the system and compute the optimal observer gain. A DC-DC converter case study in simulation is used to illustrate the utilized techniques and the simulation results prove the effectiveness.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129424900","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: 6

Generalized Cyclic Pursuit: An Estimator-Based Model-Reference Adaptive Control Approach 广义循环追踪:一种基于估计量的模型参考自适应控制方法

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9183218

Antoine Ansart, J. Juang

引用次数: 4

Prediction and Classification of Temperature Data in Smart Building using Dynamic Mode Decomposition 基于动态模态分解的智能建筑温度数据预测与分类

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9183040

K. Sunny, Mohd Adil Anwar Sheikh, S. Wagh, N. Singh

{"title":"Prediction and Classification of Temperature Data in Smart Building using Dynamic Mode Decomposition","authors":"K. Sunny, Mohd Adil Anwar Sheikh, S. Wagh, N. Singh","doi":"10.1109/MED48518.2020.9183040","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183040","url":null,"abstract":"With the recent trends of smart cities, the development in the sector of Smart Buildings has emerged tremendously which consists of multiple layers coordinating and interacting with each other with the help of a building management system (BMS). This interaction of different layers in the smart building with the help of a communication channel leads to exposure of layers to vulnerabilities (cyber attacks) which may lead to anomalies condition. This kind of anomalies can be avoided by proper prediction of data and coordination among different layers of the building operation. However, to develop the model for prediction of data is quite time consuming and hence, the paper proposes the concept of Dynamic Mode Decomposition (DMD) for predicting data with help of past available data even in absence of system model. In this paper temperature profile of heating, ventilation, and air conditioning (HVAC) system in BMS is predicted with the help of available past data. Once the prediction of the temperature profile is achieved the machine learning algorithm is used to classify and identify the data as normal or anomalies condition. The two-fold contribution of the paper in the prediction of temperature using DMD where all system states may not be observable and classification of data using machine learning is validated considering different test scenarios and results show the effectiveness of the DMD method in the prediction of data as well as classification using a machine learning algorithm.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132546996","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: 2

Static output feedback controller for uncertain systems subject to actuators limitations 受致动器限制的不确定系统的静态输出反馈控制器

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9182841

F. Mesquine, Hamza Khallouk

引用次数: 0

Energy-minimal target retrieval for quadrotor UAVs: trajectory generation and tracking 四旋翼无人机能量最小目标检索:轨迹生成与跟踪

2020 28th Mediterranean Conference on Control and Automation (MED) Pub Date : 2020-09-01 DOI: 10.1109/MED48518.2020.9182898

H. Henninger, K. Ellenrieder, S. Licht

引用次数: 1