IEEE Conference on Decision and Control and European Control Conference最新文献_第5页

Frequency-domain stability analysis of retrospective-cost adaptive control for systems with unknown nonminimum-phase zeros 具有未知非最小相位零的系统追溯成本自适应控制的频域稳定性分析

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160977

A. D'Amato, E. D. Sumer, Dennis S. Bernstein

引用次数: 43

Average consensus on Riemannian manifolds with bounded curvature 曲率有界黎曼流形的平均一致

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160965

Roberto Tron, B. Afsari, R. Vidal

{"title":"Average consensus on Riemannian manifolds with bounded curvature","authors":"Roberto Tron, B. Afsari, R. Vidal","doi":"10.1109/CDC.2011.6160965","DOIUrl":"https://doi.org/10.1109/CDC.2011.6160965","url":null,"abstract":"Consensus algorithms are a popular choice for computing averages and other similar quantities in ad-hoc wireless networks. However, existing algorithms mostly address the case where the measurements live in a Euclidean space. In this paper, we propose distributed algorithms for averaging measurements lying in a Riemannian manifold. We first propose a direct extension of the classical average consensus algorithm and derive sufficient conditions for its convergence to a consensus configuration. Such conditions depend on the network connectivity, the geometric configuration of the measurements and the curvature of the manifold. However, the consensus configuration to which the algorithm converges may not coincide with the Fréchet mean of the measurements. We thus propose a second algorithm that performs consensus in the tangent space. This algorithm is guaranteed to converge to the Fréchet mean of the measurements, but needs to be initialized at a consensus configuration. By combining these two methods, we obtain a distributed algorithm that converges to the Fréchet mean of the measurements. We test the proposed algorithms on synthetic data sampled from manifolds such as the space of rotations, the sphere and the Grassmann manifold.","PeriodicalId":360068,"journal":{"name":"IEEE Conference on Decision and Control and European Control Conference","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127487392","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: 22

Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln 基于Gabor滤波和特征火焰图像的回转窑烧结状态识别

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160229

Weitao Li, K. Mao, T. Chai, Hong Zhang, Hong Wang

{"title":"Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln","authors":"Weitao Li, K. Mao, T. Chai, Hong Zhang, Hong Wang","doi":"10.1109/CDC.2011.6160229","DOIUrl":"https://doi.org/10.1109/CDC.2011.6160229","url":null,"abstract":"Accurate recognition of burning state is critical in sintering process control of rotary kiln. Recently, flame image-based burning state recognition has received much attention. However, most of the existing methods demand accurate image segmentation, which is quite challenging due to poor image quality caused by smoke and dust inside the kiln. In this study, we develop a more reliable method for burning state recognition without image segmentation issue. From the experience of operators, more discriminable flame and material zones will facilitate the subsequent feature extraction and burning state recognition. Motivated by this knowledge, we propose to include texture analysis based on Gabor filter as a pre-processing to improve the recognition result further and then extract global features based on eigen-flame images decomposition, and finally recognize the burning state using pattern classifier. The advantages of our method are threefold. Firstly, our Gabor filter selection approach can generate a compact filter bank to distinguish ROIs much more and offers help to facilitate the sequel. Secondly, the eigen-flame image method provides global features of an image with large class separability and hence can lead to more accurate classification performance. Thirdly, the new method is more robust and reliable than image segmentation-based methods and temperature-based method. Experimental studies show the effectiveness of our method.","PeriodicalId":360068,"journal":{"name":"IEEE Conference on Decision and Control and European Control Conference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127525984","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

Soft sensor development using non-Gaussian Just-In-Time modeling 使用非高斯实时建模的软传感器开发

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160693

Jiu-sun Zeng, Lei Xie, Chuanhou Gao, Jingjing Sha

引用次数: 6

A distributed guaranteed cost congestion control strategy for mobile networks with differentiated services traffic 具有差异化业务流量的移动网络分布式保本拥塞控制策略

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6161435

R. Chen, K. Khorasani

引用次数: 0

Compressive System Identification in the Linear Time-Invariant framework 线性时不变框架下的压缩系统辨识

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160383

R. Tóth, B. M. Sanandaji, K. Poolla, T. Vincent

引用次数: 40

Cooperative estimation of 3D target object motion via networked visual motion observers 基于网络视觉运动观察者的三维目标运动协同估计

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160515

T. Hatanaka, K. Hirata, M. Fujita

引用次数: 4

Twisting-controller gain adaptation 扭转控制器增益自适应

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160787

A. Levant, M. Taleb, F. Plestan

引用次数: 10

Adaptive receding horizon control for a class of nonlinear differential difference systems 一类非线性微分差分系统的自适应后退水平控制

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6161188

M. Lu

引用次数: 1

Robust iterative learning control synthesized with sliding-mode control for output tracking 基于滑模控制的鲁棒迭代学习控制

IEEE Conference on Decision and Control and European Control Conference Pub Date : 2011-12-01 DOI: 10.1109/CDC.2011.6160762

Wen Chen, C. Yeh, Y. Chen

引用次数: 3