发布求助
文献互助 智能选刊 最新文献

2016 International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献

筛选
英文 中文
Control with general dissipativity constraint and non-monotonic Lyapunov functions 具有一般耗散约束和非单调Lyapunov函数的控制
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822456
T. Tran, J. Maciejowski
{"title":"Control with general dissipativity constraint and non-monotonic Lyapunov functions","authors":"T. Tran, J. Maciejowski","doi":"10.1109/ICCAIS.2016.7822456","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822456","url":null,"abstract":"In this paper, a new framework for constructing discrete-time control systems with non-monotonic Lyapunov functions and General Dissipativity Constraint (GDC) is developed as an alternative to the small gain design that may become conservative in some decentralized control applications. The GDC Lyapunov function in this approach is nonmonotonic since its incremental difference is essentially nonnegative. Possessing the advantages of an input and output approach, the presented GDC is suitable for the control problem of heterogeneous interconnected systems that have complex interactions between subsystems, such as power systems or networked robotics.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130614911","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: 5
Multi-agent coordination using limit cycles in dynamic environment 动态环境下基于极限环的多智能体协调
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822450
Sajjad Manzoor, Youngjin Choi
{"title":"Multi-agent coordination using limit cycles in dynamic environment","authors":"Sajjad Manzoor, Youngjin Choi","doi":"10.1109/ICCAIS.2016.7822450","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822450","url":null,"abstract":"The paper presents a novel neural oscillator-based limit cycle approach for multiple robots formation and navigation. A group of point-robots is directed to move towards a target as well as to form a circular shape surrounding it. Initially the algorithm for a stationary target in absence of obstacle is developed, and then it is extended to dynamic target and further to an obstacle avoidance including static and dynamic obstacles. An attraction property of neural oscillator-based limit cycle is used for the robots to move towards circle around target with an arbitrary radius. The group of pursuing robots reaches the target in such a way that they remain at a desired distance from it keeping equally distributed angle around it. Another finding is that a change of communication (or sensor) matrix makes a transient formation to be different, though the final shape remains the same. Finally, the effectiveness of the proposed method is verified through several simulations.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784244","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
Multi-task firework algorithm for cell tracking and contour estimation 多任务烟花细胞跟踪和轮廓估计算法
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822430
Jian Shi, Benlian Xu, Peiyi Zhu, Mingli Lu
{"title":"Multi-task firework algorithm for cell tracking and contour estimation","authors":"Jian Shi, Benlian Xu, Peiyi Zhu, Mingli Lu","doi":"10.1109/ICCAIS.2016.7822430","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822430","url":null,"abstract":"Dynamics analysis of cells' lifecycle progression is essential in medical research. Multiple cells tracking through fluorescence microscopy imaging is often challenged by many roadblocks including the severe image noise and clutter, the occlusion and adhesion among cells, and the low resolution and contrast of image. To gain full dynamics of multiple cells, a novel multi-task firework explosion based tracking algorithm is proposed for multiple cells tracking in low contract image sequences in this paper. A conventional firework algorithm is used to determine the cell location, and a simplified firework explosion searching strategy is then adopted to estimate the cell contour. Simulation results verify the effectiveness of the methods.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121688727","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
Inertial navigation system positioning assisted by star sensor 星敏感器辅助惯性导航系统定位
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822457
Hongsong Du, Qian Sun, Ya Zhang, Zhao Qi, Yaoyao Wen
{"title":"Inertial navigation system positioning assisted by star sensor","authors":"Hongsong Du, Qian Sun, Ya Zhang, Zhao Qi, Yaoyao Wen","doi":"10.1109/ICCAIS.2016.7822457","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822457","url":null,"abstract":"The Star Sensor can be used to assist the inertial navigation system (INS) for navigation and positioning, restraining the accumulated error caused by the inertial components. During the integrated navigation process, the Star Sensor is installed above the INS, generated installation errors between the INS body coordinate system and the Star Sensor body coordinate system. In order to increase the system accuracy, a new gyro error model is established in this paper which taken full account of various error factors. The gyro drifts and the gyro errors coefficients are considered as the state variables. The attitude information of Star Sensor is used as the high-accurate information to construct the observation with the attitude information of INS. Taken the nonlinearity of the actual system into account, the nonlinear filter Cubature Kalman Filter (CKF) is used to estimate the gyro errors commendably. The experiment results showed that the positioning error reduced a lot by utilizing this novel method.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562244","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
Efficient implementation of maximization likelihood estimation to constrained measurement random latency probability in nonlinear system 非线性系统中约束测量随机延迟概率最大化似然估计的有效实现
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822447
Xiaoxu Wang, Qianyun Zhang, Yan Liang, Feng Yang, Q. Pan, Lin Li
{"title":"Efficient implementation of maximization likelihood estimation to constrained measurement random latency probability in nonlinear system","authors":"Xiaoxu Wang, Qianyun Zhang, Yan Liang, Feng Yang, Q. Pan, Lin Li","doi":"10.1109/ICCAIS.2016.7822447","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822447","url":null,"abstract":"This paper focuses on quickly identifying the unknown or time-varying random latency probability (RLP) of the measurements in the nonlinear networked multi-sensor system by resorting to the efficient implementation of maximization likelihood (ML) estimation. Firstly, the full-probability likelihood computation is equivalently transformed into a log-likelihood function summation form parameterized by RLP through Bayes' rule. Secondly, the computation of the log-likelihood function is further transferred by skillfully introducing Jensen's inequality for facilitating the rapid maximization. Thirdly, the simple identification result of RLP is obtained by constructing Lagrange operator to maximize the transferred log-likelihood with the RLP parameter constraint. Finally, an example motivated by the maneuvering target tracking application is presented to demonstrate the superiority of the new method.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133392786","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
Flight testing of control allocation for elevator actuator fault in small UAV 小型无人机电梯执行器故障控制分配飞行试验
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822466
Z. Sahwee, Aina Suriani Mahmood, N. A. Rahman, K. Sahari
{"title":"Flight testing of control allocation for elevator actuator fault in small UAV","authors":"Z. Sahwee, Aina Suriani Mahmood, N. A. Rahman, K. Sahari","doi":"10.1109/ICCAIS.2016.7822466","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822466","url":null,"abstract":"Final validation of new control technique for any air vehicle must be conducted through flight testing. It is the most critical phase of the research work where it validates and provides real world feedback on the theoretical and simulation design. On the other hand, an unmanned aircraft as presented in this work is highly complex systems; a single component failure can lead to potentially dangerous consequences. The objective of this paper is to present the flight test result on the investigation on using alternate control surface for a control allocation of pitch control transition from elevator to stabilator of a small UAV. There were fourty flight tests have been performed and from the analysis, the proposed method is feasible to be used without affecting flight endurance and characteristics during flight control transition. The alternate control surface accommodation technique proves to promise higher reliability in case of faulty on-board actuator.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122093834","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
Combining sparse appearance and Bayesian inference models for object tracking 结合稀疏外观和贝叶斯推理模型的目标跟踪
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822439
Zhengqiang Jiang, Benlian Xu, Shengrong Gong
{"title":"Combining sparse appearance and Bayesian inference models for object tracking","authors":"Zhengqiang Jiang, Benlian Xu, Shengrong Gong","doi":"10.1109/ICCAIS.2016.7822439","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822439","url":null,"abstract":"In this paper, we present a method that combines a sparse appearance model into the Bayesian inference framework for tracking pedestrians in video sequences captured by a fixed camera. We formulate sparse appearance model as a linear combination of a set of 4D smoothed colour histograms for each pedestrian. These colour histograms are computed for all detection windows with different confidence values from human detector proposed by Dalal and Triggs. Object tracking is carried out using the Bayesian inference method. For occlusion handling, we integrate the Kalman filter to get the potential region containing target's observation and then use maximum a posteriori estimation to get the most likely observation. We test our tracking method on the benchmark video datasets. Our experimental results show that our tracking method outperforms one without using occlusion handling technique and can handle partial occlusion and false negative errors from human detector.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128023222","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
Track level fusion with an estimation of maximum bound of unknown correlation 基于未知相关最大界估计的航迹级融合
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822431
Muhammad Abu Bakr, Sukhan Lee
{"title":"Track level fusion with an estimation of maximum bound of unknown correlation","authors":"Muhammad Abu Bakr, Sukhan Lee","doi":"10.1109/ICCAIS.2016.7822431","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822431","url":null,"abstract":"In distributed fusion architecture, processed information in the form of tracked object data is available instead of raw sensor data. Ignoring the cross-correlation in distributed systems by employing Kalman filter in general leads to inconsistent results. Covariance intersection, on the other hand provide conservative results by overestimating the intersection of individual covariances. In this paper, we present a track level fusion by analytically computing the mean and covariance of fused data under unknown correlation. Unlike the covariance intersection method that searches for a minimum overestimate iteratively, the proposed method finds the maximum covariance under unknown correlation. Furthermore, it is proved that the proposed method provides an exact and consistent result in terms of Bar-Shalom Campo (BC) formula. To show the effectiveness of the proposed method, simulation results of Track-to-Track fusion are provided.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396468","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
Fault diagnosis of diesel engine lubrication system based on PSO-SVM and centroid location algorithm 基于PSO-SVM和质心定位算法的柴油机润滑系统故障诊断
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822464
Yingmin Wang, T. Cui, Fujun Zhang, TianPu Dong, Shen Li
{"title":"Fault diagnosis of diesel engine lubrication system based on PSO-SVM and centroid location algorithm","authors":"Yingmin Wang, T. Cui, Fujun Zhang, TianPu Dong, Shen Li","doi":"10.1109/ICCAIS.2016.7822464","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822464","url":null,"abstract":"Fault of diesel engine lubrication system will affect engine performance, and diesel engine operation parameters reflect the working state of the engine. In this paper, a data-driven fault diagnosis is proposed using engine real working data. Considering the randomness and instability of the oil pressure in the lubrication system, a fault diagnosis method based on PSO-SVM model and centroid location algorithm is presented. Firstly, fault features are extracted analyzing the data in normal condition. Secondly, particle swarm optimization (PSO) algorithm is used to search the best parameters of support vector machine (SVM) to establish the model of fault diagnosis. Then, support vector machine classification interface is fitted to a curve, and the boundary conditions of fault diagnosis are obtained. Finally, the typical faults of diesel engine lubrication system are diagnosed by the proposed fault diagnosis algorithm. The results show that he proposed PSO-SVM model achieved above 95% classification accuracy; and two typical lubrication system faults of diesel engine can be diagnosed based on the proposed diagnosis method.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"509 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322648","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: 7
A private machine-cloud architecture and self-reliant controllers for operational technology systems 一个私有的机器云架构和独立的操作技术系统控制器
2016 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2016-10-01 DOI: 10.1109/ICCAIS.2016.7822458
T. Tran
{"title":"A private machine-cloud architecture and self-reliant controllers for operational technology systems","authors":"T. Tran","doi":"10.1109/ICCAIS.2016.7822458","DOIUrl":"https://doi.org/10.1109/ICCAIS.2016.7822458","url":null,"abstract":"A private machine-cloud architecture and the associated Self-reliant Control System (SCS) for industrial applications are presented in this paper. The machine-to-machine (M2M) IP-based local area network creates a backbone for the proposed architecture, in which the traditional analogue input and output (I/O) or field-bus subsystems of a traditional process control system are not required. The proposed architecture is not only applicable to a large processing plant, but can also be deployed to the generic feedback control installations, including micro-grids in a power system. The quantitative reliability of the new system is achieved by the fault-tolerant structure of multiple processors via the M2M connectivity. Each processor is a computational platform for multiple feedback control algorithms, functioning in a self-reliant manner. As a result, the amount of data required to be exchanged between processors is kept to minimal. The congregation of these processors and the private M2M local area network form a ‘private machine cloud’ for the SCSs.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134526973","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
首页 上一页 下一页 尾页
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