2017 International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献_第2页

Multiple cells tracking by a novel raindrop ripple optimization algorithm 基于雨滴纹波优化算法的多细胞跟踪

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217566

Jian Shi, Benlian Xu, Peiyi Zhu, Mingli Lu, Jihong Zhu

引用次数: 1

Ant system based LMB filter for SLAM implementation in ROS platform 基于Ant系统的LMB滤波器在ROS平台上实现SLAM

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217578

Mingyue Li, Benlian Xu, Mingli Lu, Peiyi Zhu, Jian Shi

引用次数: 0

Modeling and control of a PV based QZSI for grid connected applications 并网应用中基于PV的QZSI的建模与控制

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217595

Ahmad Omar AsSakka, M. Elshahed, M. Hassan, T. Senjyu

引用次数: 3

Manifold learning for dimension reduction of electronic nose data 电子鼻数据降维的流形学习

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217570

Lu Ding, Ziwen Guo, Shuo Pan, Peiyi Zhu

{"title":"Manifold learning for dimension reduction of electronic nose data","authors":"Lu Ding, Ziwen Guo, Shuo Pan, Peiyi Zhu","doi":"10.1109/ICCAIS.2017.8217570","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217570","url":null,"abstract":"Electronic nose is a system based on the sense of smell, which is consisted of several metal oxide semiconductor sensors based on the characteristic odor or volatile components in the air. Its structure includes gas acquisition system, sensor array, signal conditioning circuit and data processing. Compared with other systems, it has the advantages of sensitive detection, simple operation, and high cost performance, etc. However, the materials of sensors are non-linear metal-semiconductor, the obtained odor information must also include non-linear characteristic. Traditional linear feature extraction algorithm can't extract the nonlinear characteristics, so this work proposed four manifold learning algorithms for extracting odor information characteristics. In order to verify feature extraction results, electronic nose measurement data based on the living Chinese mitten crab was processed. The prediction model based on support vector machine (SVM) algorithm according to the guide of the above classification was presented. Total volatile basic nitrogen (TVB-N) of the samples was measured and its results acted as reference information. Experimental results illustrated that the system based on electronic nose with manifold learning can assess the freshness of the living crab.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116306600","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

A decentralized model predictive control scheme for the automatic generation control problem in power systems 电力系统自动发电控制问题的分散模型预测控制方案

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217596

T. Tran

引用次数: 2

A fast implementation of distributed fusion with CPHD filter 基于CPHD滤波器的分布式融合快速实现

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217561

Guchong Li, Wei Yi, L. Kong

引用次数: 1

Tracking multiple targets from multi-static Doppler measurements 通过多静态多普勒测量跟踪多个目标

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217558

Jing Wu, Xudong Wang, Yimei Chen

引用次数: 0

Online multi-object tracking via labeled random finite set with appearance learning 基于标记随机有限集和外观学习的在线多目标跟踪

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217572

D. Kim

引用次数: 4

Linear multitarget integrated track splitting for multiple detection target tracking 线性多目标综合航迹分割用于多探测目标跟踪

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217597

Yuan Huang, T. Song

引用次数: 3

Robust H-infinity tracking control of MIMO nonlinear systems. Application to non-isothermal CSTR MIMO非线性系统的鲁棒h∞跟踪控制。非等温CSTR的应用

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217592

Bzioui Sana, Channa Rafik

{"title":"Robust H-infinity tracking control of MIMO nonlinear systems. Application to non-isothermal CSTR","authors":"Bzioui Sana, Channa Rafik","doi":"10.1109/ICCAIS.2017.8217592","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217592","url":null,"abstract":"A non-isothermal Continuous Stirred Tank Reactor (CSTR) is the most important element of chemical industrial equipment which exhibits a highly nonlinear behavior. It is one of multi-input multi-output (MIMO) nonlinear systems affected by disturbances. The operation of the non-isothermal CSTR is disturbed by external factors such as changes in the inlet concentration and temperature. Therefore, the two difficult issues in CSTR control are tracking trajectory and external disturbance attenuation. In this paper, a robust fuzzy tracking control via Takagi-Sugeno (T-S) MIMO systems is designed to robustly stabilize the non-isothermal CSTR system for both concentration and temperature schemes exposed to external disturbances. Takagi-Sugeno fuzzy approach for describing nonlinear model with several local linear models is proposed, and using a technique called Parallel Distributed Compensation (PDC), we derive LMI conditions for analyzing robust stability and performance based on Lyapunov functions, and a criterion is employed to guarantee the attenuation of disturbances. In trajectory tracking framework, an integral action is introduced as a new state variable. Finally, simulation results are given to prove that the proposed technique ensures the stability conditions and guarantees robustness against external disturbance with a good trajectory tracking.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786669","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