2016 American Control Conference (ACC)最新文献_第4页

Sampling based collision avoidance for UAVs 基于采样的无人机避碰方法

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525106

Yucong Lin, S. Saripalli

引用次数: 15

A game-theoretical formulation of influence networks 影响网络的博弈论公式

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525505

Zhengyuan Zhou, B. Yolken, R. A. Miura-Ko, N. Bambos

{"title":"A game-theoretical formulation of influence networks","authors":"Zhengyuan Zhou, B. Yolken, R. A. Miura-Ko, N. Bambos","doi":"10.1109/ACC.2016.7525505","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525505","url":null,"abstract":"An influence network consists of a set of interacting agents, each of whose actions produces effects or influence on his neighbors' actions. In general, the effects can be arbitrary functions of the neighbors' joint action; and they can be inhomogeneous among agents. Such effects are akin to the externalities (positive or negative) engendered on the action level (which further impacts one's utilities), and capture the commonality of a variety of networks in economics and engineering. Therefore, the study of strategic interactions among agents in an influence network and a characterization of an equilibrium can be of great value and applicability. In this paper, we formulate a simple game-theoretical model of influence networks that aims to study strategic interactions among agents in light of such influence. We then establish a connection between the resulting multi-player game with the well-known nonlinear complementarity problem (NCP). This connection not only places our work in the existing literature of a well-studied subject, thus deepening the understanding of both problems, but also, to a certain extent, allows us to leverage the tools in the NCP literature to identify different sufficient conditions for the existence and uniqueness of a Nash equilibrium in the multi-player game. We then characterize two broadly-scoped classes of influence networks with natural and intuitive interpretations and draw tools from fixed point theory to show the existence of a Nash equilibrium, as the existing results in the NCP literature are not directly applicable. We finally comment on the distributed, model-agnostic best response dynamics and show that under certain cases, they converge to a Nash equilibrium.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121814457","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: 14

The effect of delays in the Economic Dispatch Problem for smart grid architectures 延迟对智能电网经济调度问题的影响

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525461

C. Somarakis, Dipankar Maity, J. Baras

引用次数: 2

Constant energy control by time-varying gain for steady-state oscillation of thermoacoustic engines to estimate critical temperature ratio 热声发动机稳态振荡的时变增益恒能量控制以估计临界温度比

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525617

Y. Kobayashi, Kazuaki Sakurai, N. Yamada

引用次数: 2

Domain decomposition methods in the distributed estimation of spatially distributed processes with mobile sensors 基于移动传感器的空间分布过程分布估计中的域分解方法

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525153

M. Demetriou

{"title":"Domain decomposition methods in the distributed estimation of spatially distributed processes with mobile sensors","authors":"M. Demetriou","doi":"10.1109/ACC.2016.7525153","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525153","url":null,"abstract":"This paper considers the state estimation of spatially distributed processes via the employment of mobile sensors. In order to reduce the computational demands, a domain decomposition method is utilized and which decomposes the spatial domain into two subdomains. The estimator in the inner domain implements a hybrid Kalman filter with a mobile sensor, whereas the outer subdomain implements a naive observer. Coupling conditions at the inner/outer boundary serve as a means to exchange information between the two estimators and which constitute a consensus protocol. The motion of the mobile sensor is based on a spatial gradient scheme and serves as a further means of reducing the computational load associated with the solution to large scale differential Riccati equations. The proposed scheme is further extended to collaborative distributed estimation in which multiple mobile sensors are enforcing another level of consensus protocol in order to penalize the differences between their state estimates. Extensive numerical simulations of a one-dimensional parabolic partial differential equation are presented to further demonstrate the multi-level computational savings associated with the use of domain decomposition in state estimation of spatially distributed processes with mobile sensors.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121118560","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

Nonlinear dynamic inversion for redundant systems using the EKF formalism 基于EKF形式的冗余系统非线性动态反演

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7524939

H. Evain, M. Rognant, D. Alazard, J. Mignot

引用次数: 7

Controllability Gramian spectra of random networks 随机网络的可控性Gramian谱

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525517

V. Preciado, M. Amin Rahimian

引用次数: 8

Analytical solutions of equilibrium points of the standard Kuramoto model: 3 and 4 oscillators 标准Kuramoto模型平衡点的解析解:3和4振子

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525284

Xin Xin, Takanori Kikkawa, Yannian Liu

{"title":"Analytical solutions of equilibrium points of the standard Kuramoto model: 3 and 4 oscillators","authors":"Xin Xin, Takanori Kikkawa, Yannian Liu","doi":"10.1109/ACC.2016.7525284","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525284","url":null,"abstract":"This paper concerns the problem of how to obtain analytically all equilibrium points of the standard Kuramoto model (with all-to-all uniform coupling) having any natural frequencies and coupling gain. As an initial effort to solve this challenging problem, for the Kuramoto model with 3 (respectively 4) oscillators, to obtain analytically all equilibrium points, we show that we need to solve a polynomial equation of the sine of the phase of an oscillator with the highest order of 6 (respectively 14). For 3 oscillators, this polynomial equation with numerical examples shows that the maximal number of distinct equilibrium points for any natural frequencies and coupling gain is 6. For 4 oscillators, this paper shows theoretically that the maximal number of distinct equilibrium points is not greater than 14, and presents two numerical examples to show the existence of 10 distinct equilibrium points. From the numerical investigation carried out in this study, it is a conjecture that the maximal number of distinct equilibrium points of 4 oscillators for all natural frequencies and coupling gain is 10. This paper also presents numerical examples to investigate the synchronization of the oscillators and convergence to stable equilibrium points.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127161450","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: 9

Clustering fully and partially observable graphs via nonconvex optimization 基于非凸优化的全可观察图和部分可观察图聚类

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526134

D. Katselis, Carolyn L. Beck

{"title":"Clustering fully and partially observable graphs via nonconvex optimization","authors":"D. Katselis, Carolyn L. Beck","doi":"10.1109/ACC.2016.7526134","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526134","url":null,"abstract":"The problem of clustering unweighted graphs either in the case of fully or partially observable adjacency matrices is considered in this paper. Both these subproblems have been recently considered in the literature and have been tackled based on convex optimization techniques related to the problems of matrix completion and robust principal component analysis that fall into the general compressive sensing framework. We revisit these approaches and extend them by proposing ways to obtain more accurate clustering results based on better approximations for the ℓ0-norm of a matrix than the ℓ1-norm. The current state-of-art methods correspond to special instances of the proposed extensions. Although nonconvex, the proposed methods can be approximately decomposed into sequences of ℓ1-norm minimization problems, thus pertaining the efficiency of convex formulations. The methods are compared using graphs that are built upon the classical stochastic blockmodel. These comparisons provide a good indication that the proposed methods can improve the accuracy of state-of-art clustering methods applied to currently popular applications such as that of community detection in social networks.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127166292","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

Structured synthesis and compression of semantic human sensor models for Bayesian estimation 基于贝叶斯估计的语义人体传感器模型的结构化合成与压缩

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526529

Nicholas Sweet, N. Ahmed

引用次数: 16