2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)最新文献

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2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/ebccsp53293.2021.9502355

引用次数: 0

Prediction of the Li-Ion Battery Capacity by Using Event-Driven Acquisition and Machine Learning 基于事件驱动采集和机器学习的锂离子电池容量预测

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502399

S. Qaisar, A. AbdelGawad

{"title":"Prediction of the Li-Ion Battery Capacity by Using Event-Driven Acquisition and Machine Learning","authors":"S. Qaisar, A. AbdelGawad","doi":"10.1109/EBCCSP53293.2021.9502399","DOIUrl":"https://doi.org/10.1109/EBCCSP53293.2021.9502399","url":null,"abstract":"The battery is a crucial element of modern power systems and it is utilized habitually in different vital applications such as electric vehicles, drones, avionics and mobile phones. Among various batteries technologies the Li-Ion batteries are widely used. It is mainly because of their compactness, longer life and high power capacity. On the other hand, due to the disadvantage of Li-ion batteries being expensive, their use is monitored using battery management systems (BMSs) to optimize their performance and ensure they last longer. The extensive processing resources that modern BMSs need can result in higher overhead power consumption. This study focuses on upgrading the present Li-ion BMSs through redesigning their associative data acquisition and processing chains differently. It aims at enhancing the data acquisition and estimation mechanisms for the Li-ion batteries' capacities. It utilizes a novel event-driven mechanism for extracting the intended Li-Ion cell parameters. The event-driven approach brings notable compression gain compared to fix-rate conventional counterparts. The mined attributes are onward conveyed to the robust machine learning algorithms for prediction. The 5-fold cross-validation approach is used for prediction performance evaluation. The achieved correlation coefficient and minimum Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) are respectively 0.9996, 0.0038 and 0.0054 respectively. It shows the feasibility of incorporating the proposed approach in contemporary BMSs.","PeriodicalId":291826,"journal":{"name":"2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891202","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: 3

Event-Based Broadcasting for Stochastic Subgradient Algorithms 基于事件广播的随机子梯度算法

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502363

Mani H. Dhullipalla, Hao Yu, Tongwen Chen

引用次数: 0

A Long-Range Hardware Bubble Corrector Technique for Short-Pulse-Width and Multiple-Registration Encoders 用于短脉宽和多配准编码器的远程硬件气泡校正技术

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502400

S. Tancock, J. Rarity, N. Dahnoun

引用次数: 0

Distributed Event-Triggered Control of Vehicular Networked System with Bursty Packet Drops 突发丢包车辆网络系统的分布式事件触发控制

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502365

A. Bemani, N. Björsell

{"title":"Distributed Event-Triggered Control of Vehicular Networked System with Bursty Packet Drops","authors":"A. Bemani, N. Björsell","doi":"10.1109/EBCCSP53293.2021.9502365","DOIUrl":"https://doi.org/10.1109/EBCCSP53293.2021.9502365","url":null,"abstract":"This paper investigates the distributed event-triggered control of leader-follower consensus problem with harsh environmental conditions such as a high probability of burst packet drops occurs in the communication channels between the vehicles. The main objective in the vehicular platoons is to ensure that all follower vehicles are traveling at the same speed as the leader while maintaining a desired inter-vehicular distance with considering the minimum communication resource usage. To achieve the object, a novel distributed event-triggered communication strategy based on the estimation and prediction of self-states and other agents’ states in each vehicle is proposed which includes two parallel algorithms. The first one is based on comparing the state estimation and prediction of the vehicle itself, and the second one is based on comparing the state estimation and prediction of other vehicles which have interaction in their process with the active vehicle. Collision avoidance, speed convergence, and limited communication resource usage of each vehicle are simultaneously considered in the design of the event-triggered mechanism in a harsh packet drops environment. Numerical simulations are presented to show that the proposed event triggering algorithm under three scenarios of burst packet drops can converge the consensus problem of vehicular platooning.","PeriodicalId":291826,"journal":{"name":"2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129730213","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

Developments in Time-to-Digital Converters during 2020 2020年时间-数字转换器的发展

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502397

S. Tancock, J. Rarity, N. Dahnoun

引用次数: 0

Double-sampling Gray TDC with a ROS Interface for a LiDAR System 基于ROS接口的双采样灰色TDC激光雷达系统

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502403

Simão Araújo, R. Machado, J. Cabral

{"title":"Double-sampling Gray TDC with a ROS Interface for a LiDAR System","authors":"Simão Araújo, R. Machado, J. Cabral","doi":"10.1109/EBCCSP53293.2021.9502403","DOIUrl":"https://doi.org/10.1109/EBCCSP53293.2021.9502403","url":null,"abstract":"This paper presents a TDC architecture based on a gray code oscillator with a ROS Interface for a LiDAR sensor. The proposed architecture introduces a double-sampling stage that takes advantage of the delay introduced by the routing between the combinatorial stage and the sampling stage. Compared to similar gray code oscillator architectures, this work significantly improves resolution and precision while maintaining good linearity and low resource utilization. Due to its portability and scalability, multiple TDC channels may be implemented by replicating a channel’s placement and routing, avoiding the need for calibration methods, consequently saving resources and power. A ROS interface allows the IP to be easily integrated with other systems requiring precise and high-resolution ToF measurement. The tests performed simulating a point cloud with 36000 points showed, in the worst-case scenario, a system performance with an average of 10.32 FPS. A Zynq Ultrascale+ MPSoC was used for the TDC architecture implementation, achieving a 69 ps RMS resolution and a 59 ps single-shot precision with only 7 LUTs and 20 flip-flops. The architecture linearity reaches a peak-to-peak DNL and INL of 1.76 LSB and 1.50 LSB, respectively.","PeriodicalId":291826,"journal":{"name":"2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566648","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

Adaptive Rate Sampling and Machine Learning Based Power Quality Disturbances Interpretation 基于自适应速率采样和机器学习的电能质量扰动解释

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502358

S. Qaisar, N. Alyamani

{"title":"Adaptive Rate Sampling and Machine Learning Based Power Quality Disturbances Interpretation","authors":"S. Qaisar, N. Alyamani","doi":"10.1109/EBCCSP53293.2021.9502358","DOIUrl":"https://doi.org/10.1109/EBCCSP53293.2021.9502358","url":null,"abstract":"The Power quality (PQ) disturbances causes rigorous issues in classical and smart grids, industries. The performance of power networks can be affected by these intermittent events. The identification of PQ disturbances and an effective prevention of such events are essential. In this framework, vital aspects are a precise understanding as a first step can be followed by a real-time treatment of the PQ disturbances in the future later on. The PQ signals are acquired by using the event-driven A/D converters (EDADCs). The acquired signal is segmented by using novel event-driven signal selection technique. Afterwards, the segmented signal pertinent features are extracted by using an effective adaptive rate time-domain analysis approach. These features are passed to the robust machine-learning based classifiers to realize an automated identification of the PQ disturbances. The system secures 13.26-fold compression gain compared to the conventional fix-rate counterparts. The highest classification precision of 99.44% is secured. It confirms that the suggested method can be integrated in contemporary automated PQ identifiers.","PeriodicalId":291826,"journal":{"name":"2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125762470","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

Temperature Characterisation of the DSP Delay Line DSP延迟线的温度特性

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502362

S. Tancock, J. Rarity, N. Dahnoun

引用次数: 2

Impulsive Goodwin’s Oscillator Model of Endocrine Regulation: Local Feedback Leads to Multistability 内分泌调节的脉冲古德温振荡模型:局部反馈导致多稳定性

2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2021-06-22 DOI: 10.1109/EBCCSP53293.2021.9502366

Z. T. Zhusubaliyev, A. Medvedev, A. Proskurnikov

{"title":"Impulsive Goodwin’s Oscillator Model of Endocrine Regulation: Local Feedback Leads to Multistability","authors":"Z. T. Zhusubaliyev, A. Medvedev, A. Proskurnikov","doi":"10.1109/EBCCSP53293.2021.9502366","DOIUrl":"https://doi.org/10.1109/EBCCSP53293.2021.9502366","url":null,"abstract":"The impulsive Goodwin’s oscillator (IGO) is a hybrid model that captures complex dynamics arising in continuous systems controlled by pulse-modulated (event-based) feedback. Being conceived to describe pulsatile endocrine regulation, it has also found applications in e.g. pharmacokinetics. The original version of the IGO assumes the continuous part of the model to be a chain of first-order blocks. This paper explores the nonlinear phenomena arising due to the introduction of a local continuous feedback as suggested by the endocrine applications. The effects caused by a nonlinear feedback law parameterized by a Hill function are compared to those arising due to a simpler and previously treated case of affine feedback law. The hybrid dynamics of the IGO are reduced to a (discrete) Poincaré map governing the propagation of the model’s continuous states through the firing instants of the impulsive feedback. Bifurcation analysis of the map reveals in particular that both the local Hill function and affine feedback can lead to multistability, which phenomenon has not been observed in the usual IGO model.","PeriodicalId":291826,"journal":{"name":"2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"47 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120882607","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