2012 IEEE 51st IEEE Conference on Decision and Control (CDC)最新文献_第4页

Exact constraint aggregation with applications to smart grids and resource distribution 精确约束聚合与智能电网和资源分配的应用

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-09 DOI: 10.1109/CDC.2012.6426475

Klaus Trangbaek, J. Bendtsen

{"title":"Exact constraint aggregation with applications to smart grids and resource distribution","authors":"Klaus Trangbaek, J. Bendtsen","doi":"10.1109/CDC.2012.6426475","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426475","url":null,"abstract":"As hierarchical predictive control of large-scale distributed systems grow in complexity, it eventually becomes necessary to consider aggregation of lower-level units into larger groups of units that can be handled efficiently at higher levels in the hierarchy. When aggregating similar units in this manner, it is advantageous if the aggregation maintains a certain degree of genericity, since the higher-level algorithms can then be designed with a higher degree of modularity. To achieve this goal, however, it is not only necessary to examine aggregation of models of the underlying units, but also the accompanying constraints. Constraint sets for rate- and storage volume-constrained units can often be represented as polytopes in high-dimensional Euclidean space; unfortunately, adding such polytopic sets in higher dimension than 2 has so far been considered a combinatorial problem. In this paper, we present a novel method for computing such polytopic constraint sets for integrating units, which achieves a much lower computational complexity than previous results. The concept is demonstrated via simulations of a smart grid control scenario.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117292737","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: 17

A large scale analysis of a classification algorithm over sensor networks 传感器网络分类算法的大规模分析

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6425917

F. Fagnani, S. Fosson, C. Ravazzi

引用次数: 1

A predictor-corrector approach for multi-rate sampled-data control of spatially distributed systems 空间分布系统多速率采样数据控制的预测校正方法

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426040

Zhiyuan Yao, N. El‐Farra

{"title":"A predictor-corrector approach for multi-rate sampled-data control of spatially distributed systems","authors":"Zhiyuan Yao, N. El‐Farra","doi":"10.1109/CDC.2012.6426040","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426040","url":null,"abstract":"This work presents a methodology for the design of model-based output feedback controllers for spatially distributed systems modeled by highly-dissipative partial differential equations (PDEs) with multiple measured outputs that are sampled at different sampling rates. Initially, an approximate finite-dimensional system that captures the dominant dynamics of the infinite-dimensional system is obtained and used to design an observer-based output feedback controller. Due to the lack of continuous measurements, an inter-sample model predictor is included in the controller and used to provide the observer with estimates of the unavailable outputs. The model predictions are then updated and corrected at each time that a measurement becomes available. Owing to the different sampling rates of the available measurement sensors, the model update is performed using different outputs, or combinations of outputs, at each update time. A hybrid system formulation that captures the model update pattern is used to analyze the stability properties of the sampled-data finite-dimensional closed-loop system and derive a necessary and sufficient condition for closed-loop stability. The condition is used to explicitly characterize the interdependence between the different sampling rates, the size of the model uncertainty, the controller and observer design parameters, and the spatial locations of the control actuators and measurement sensors. Finally, the theoretical results are illustrated using a diffusion-reaction process example.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696119","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

Approximate solutions to a class of nonlinear differential games 一类非线性微分对策的近似解

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426353

T. Mylvaganam, M. Sassano, A. Astolfi

引用次数: 8

A continuous-time decentralized optimization scheme with positivity constraints 一种具有正约束的连续时间分散优化方案

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6425817

Karla Kvaternik, Lacra Pavel

{"title":"A continuous-time decentralized optimization scheme with positivity constraints","authors":"Karla Kvaternik, Lacra Pavel","doi":"10.1109/CDC.2012.6425817","DOIUrl":"https://doi.org/10.1109/CDC.2012.6425817","url":null,"abstract":"In this paper we introduce a continuous-time version of a recently proposed decentralized multi-agent optimization scheme. In this scheme, a number of networked agents cooperate in locating the optimum of the sum of their individual objective functions. Each agent has access only to its own objective function and its neighbors' estimates of the collective optimum. Under mild assumptions, we derive explicit expressions for a lower bound on the algorithm's convergence rate and an upper bound on the agents' ultimate estimation error, in terms of relevant problem parameters. We build on the analytic techniques we previously introduced, in which we treat the evolution of the mean and deviation of agents' estimates as two coupled dynamic subsystems, and provide a Lyapunov argument for the practical asymptotic stability of their interconnection. More generally, this approach turns out to be useful in deriving sharper convergence results under weaker assumptions in the continuous-time case, as well as in providing an elegant way to account for the effects of positive projections that might need to be employed by each agent in some applications. Finally, we propose an application of this scheme to the design of fully decentralized dual resource allocation algorithms.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790310","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: 39

Fusion estimation for two sensors with nonuniform estimation rates 具有非均匀估计速率的两个传感器的融合估计

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426991

Wen-an Zhang, Steven Liu, Michael Z. Q. Chen, Li Yu

引用次数: 5

Robustly optimal filter design for nonlinear systems 非线性系统鲁棒最优滤波器设计

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426554

C. Novara, F. Ruiz, M. Milanese

引用次数: 0

On the propagation of instability in interconnected networks 不稳定性在互联网络中的传播

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426636

Amy Koh, G. Vinnicombe

引用次数: 3

Filtered-error-based control of a class of nonlinear systems with nonsmooth nonlinearities 一类非光滑非线性系统的滤波误差控制

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426007

Ying Jin, Jun Fu, Lixian Zhang, Zhijun Li

引用次数: 0

Constructing observers for linear time varying DAEs 构造线性时变DAEs的观测器

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426989

Karen Bobinyec, S. Campbell, P. Kunkel

引用次数: 7