发布求助
文献互助 智能选刊 最新文献

2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献

筛选
英文 中文
Dereverberation and Signal Separation of Speech Signal Mixtures 语音信号混合的去噪与信号分离
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990518
S. Nordholm, H. H. Dam
{"title":"Dereverberation and Signal Separation of Speech Signal Mixtures","authors":"S. Nordholm, H. H. Dam","doi":"10.1109/ICCAIS56082.2022.9990518","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990518","url":null,"abstract":"This paper contributes to the dereverberation and signal separation problem of speech signal mixtures in reverberant environments by comparing the performance of different subband transform techniques, namely PolyPhase Filter Banks (PPFB) and weighted overlap-add short-term Fourier transform (WOLA STFT). The subband techniques allow large deconvolution problem to be subdivided into many smaller problems, which are feasible to solve. The critical finding is that the PPFB has better performance measures when compared with the WOLA STFT while having a lower computational complexity due to a lower subsampling rate. From the evaluation study, it can be seen that both the signal separation and the de-reverberation perform well even for high levels of background noise (SNR=0dB).","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126720881","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
Voltage and current balancing control of WBG multilevel converters for aeronautic applications 航空用WBG多电平变换器的电压和电流平衡控制
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990284
D. Tran, M. Nguyen
{"title":"Voltage and current balancing control of WBG multilevel converters for aeronautic applications","authors":"D. Tran, M. Nguyen","doi":"10.1109/ICCAIS56082.2022.9990284","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990284","url":null,"abstract":"Voltage balancing of flying capacitor multilevel converter (FCMC) is one of difficult criterion for the design and using FCMC, particularity with high switching frequency of Wide Band Gap semi-conductor component (SiC and GaN). The aim of this paper is to analyze the voltage-current balancing characteristic of a series-parallel multilevel converter when it is operated under Phase-Shifted PWM (PS-PWM). The natural balancing of open-loop PS-PWM may not be robust and efficiency to keep the converter stable under different transient conditions. Therefore, the paper proposes a closed-loop PS-PWM control method using a voltage and current balancing algorithm. Furthermore, calculations of P and PI controllers are presented for closed-loop control of voltage and current. Simulation results from a three-phase seven-level series-parallel converter are presented.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128004441","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
A Model-Free Approach for Output Regulation of uncertain 4 DOF Serial Robot with Disturbance 具有扰动的不确定四自由度串联机器人输出调节的无模型方法
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-11-21 DOI: 10.1109/ICCAIS56082.2022.9990176
D. Hoang, Dung Manh Do, NamHoai Nguyen, P. D. Nguyen
{"title":"A Model-Free Approach for Output Regulation of uncertain 4 DOF Serial Robot with Disturbance","authors":"D. Hoang, Dung Manh Do, NamHoai Nguyen, P. D. Nguyen","doi":"10.1109/ICCAIS56082.2022.9990176","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990176","url":null,"abstract":"This article proposes an approach for output regulation of robotic manipulators without knowing the mathematical model of controlled objects, except their degrees of freedom. Among this approach, the non-linearity, the system uncertainties together with the input disturbances are totally combined into a lumped component which will be approximated and continuously compensated during system operation. A low-pass filter (LPF) is applied to approximate the derivation of the states of the system for optimally compensating this lumped component. The control performance of proposed model-free controller is verified peer numerical simulation on a four degree of freedom serial robot (4 DOF). The obtained simulation results reveal that this controller makes the system states tracked to the references under the influence of time varying uncertain component as expected.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"380 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122182551","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
A Moving Window Based Approach to Multi-scan Multi-Target Tracking 基于移动窗口的多扫描多目标跟踪方法
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-10-08 DOI: 10.1109/ICCAIS56082.2022.9990443
D. Moratuwage, Changbeom Shim, Yuthika Punchihewa
{"title":"A Moving Window Based Approach to Multi-scan Multi-Target Tracking","authors":"D. Moratuwage, Changbeom Shim, Yuthika Punchihewa","doi":"10.1109/ICCAIS56082.2022.9990443","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990443","url":null,"abstract":"Multi-target state estimation refers to estimating the number of targets and their trajectories in a surveillance area using measurements contaminated with noise and clutter. In the Bayesian paradigm, the most common approach to multi-target estimation is by recursively propagating the multi-target filtering density, updating it with current measurements set at each timestep. In comparison, multi-target smoothing uses all measurements up to current timestep and recursively propagates the entire history of multi-target state using the multi-target posterior density. The recent Generalized Labeled Multi-Bernoulli (GLMB) smoother is an analytic recursion that propagate the labeled multi-object posterior by recursively updating labels to measurement association maps from the beginning to current timestep. In this paper, we propose a moving window based solution for multi-target tracking using the GLMB smoother, so that only those association maps in a window (consisting of latest maps) get updated, resulting in an efficient approximate solution suitable for practical implementations.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130557834","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
Distributed Complementary Fusion for Connected Vehicles 面向互联汽车的分布式互补融合
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2022-09-09 DOI: 10.1109/ICCAIS56082.2022.9990319
James Klupacs, A. Gostar, A. Bab-Hadiashar, Jennifer Palmer, R. Hoseinnezhad
{"title":"Distributed Complementary Fusion for Connected Vehicles","authors":"James Klupacs, A. Gostar, A. Bab-Hadiashar, Jennifer Palmer, R. Hoseinnezhad","doi":"10.1109/ICCAIS56082.2022.9990319","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990319","url":null,"abstract":"We present a random finite set-based method for achieving comprehensive situation awareness by each vehicle in a distributed vehicle network. Our solution is designed for labeled multi-Bernoulli filters running in each vehicle. It involves complementary fusion of sensor information locally running through consensus iterations. We introduce a novel label merging algorithm to eliminate double counting. We also extend the label space to incorporate sensor identities. This helps to overcome label inconsistencies. We show that the proposed algorithm is able to outperform the standard LMB filter using a distributed complementary approach with limited fields of view.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127155686","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信