2011 IEEE International Conference on Control Applications (CCA)最新文献_第2页

A mathematical model of joint congestion control and routing in multisource networks 多源网络中联合拥塞控制与路由的数学模型

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044422

F. Hunt, V. Marbukh, Yi Wang

{"title":"A mathematical model of joint congestion control and routing in multisource networks","authors":"F. Hunt, V. Marbukh, Yi Wang","doi":"10.1109/CCA.2011.6044422","DOIUrl":"https://doi.org/10.1109/CCA.2011.6044422","url":null,"abstract":"In this paper we study a model of joint congestion control and routing in a ring network of sources with a single destination at the center (Figure 2). A utility maximization problem subject to routing constraints is posed and equations for its solution are presented. The distribution of traffic on routes available to a source is subject to an entropy constraint that controls the path diversity or degree of robustness of the allocation. Thus the utility/stability issue can be addressed directly and quantitatively in a way that differs from previous work on multiroute NUM problems. The dynamics of the model equations will be analyzed in the case of a constant route allocation defined by the allocation distribution entropy for a source. Motivated by earlier work on a two link network, the dynamics of the mean route costs for each source in the ring network are studied by deriving a continuous time approximation of the equations they satisfy. The equilibrium solutions of this approximation are used to greatly simplify the analysis of the model equations and the solution of the original optimization problem. We conclude with a discussion of the tradeoff between utility and path diversity (robustness) for two contrasting assignment of link capacities. Given a homogeneous assignment of capacities the network behaves like a two link model (Fig 1), while a heterogeneous assignment produces utilities displaying different tradeoffs for different sources.","PeriodicalId":208713,"journal":{"name":"2011 IEEE International Conference on Control Applications (CCA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121601145","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

Real-time control schemes for hybrid vehicle 混合动力汽车实时控制方案

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044483

V. T. Minh, A. Aziz

引用次数: 3

On dynamic input allocation for set-point regulation of the JET tokamak plasma shape 用于JET托卡马克等离子体形状设定点调节的动态输入分配

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044438

G. Ambrosino, G. Tommasi, S. Galeani, A. Pironti, G. Varano, L. Zaccarian

引用次数: 3

A robust leader-obstacle formation control 鲁棒leader-obstacle编队控制

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044510

M. Soorki, H. Talebi, S. Nikravesh

引用次数: 5

Dual-adaptive feedforward control for raster tracking with applications to AFMs 光栅跟踪的双自适应前馈控制与afm的应用

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044387

J. Butterworth, L. Pao, D. Abramovitch

{"title":"Dual-adaptive feedforward control for raster tracking with applications to AFMs","authors":"J. Butterworth, L. Pao, D. Abramovitch","doi":"10.1109/CCA.2011.6044387","DOIUrl":"https://doi.org/10.1109/CCA.2011.6044387","url":null,"abstract":"We evaluate the performance of a dual-adaptive feedforward control architecture applied to the raster scan of a piezo-based positioning system. In previous work [1], we introduced the adaptive-delay algorithm that improved the tracking performance of the feedforward plant-injection architecture. The key benefit of the adaptive-delay algorithm is the adaptation calculation that does not require knowledge of plant parameters. In [1], the algorithm uses model-inverse-based feedforward control to increase raster-tracking bandwidth. It is well known that model-inverse-based feedforward control designs can perform poorly in the presence of large model variation or uncertainty. System identification methods reveal that the frequency response of our piezoscanner includes a large amount of variation as the user requests various operating points within the stage's range. As a result, tracking performance degrades as we vary from the conditions with which the model was identified. To correct for this, we combined the adaptive-delay algorithm with partial-parameter adaptation that updates critically variant parameters. This partnership of adaptive feedforward controllers improved experimental tracking results and robustness to model uncertainties.","PeriodicalId":208713,"journal":{"name":"2011 IEEE International Conference on Control Applications (CCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130282784","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: 16

Artificial immune system-based diagnostics and prognostics scheme and its experimental verification 基于人工免疫系统的诊断和预后方案及其实验验证

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044389

Gary R. Halligan, Balaje T. Thumati, S. Jagannathan

{"title":"Artificial immune system-based diagnostics and prognostics scheme and its experimental verification","authors":"Gary R. Halligan, Balaje T. Thumati, S. Jagannathan","doi":"10.1109/CCA.2011.6044389","DOIUrl":"https://doi.org/10.1109/CCA.2011.6044389","url":null,"abstract":"In this paper, a novel fault diagnostics and prediction (FDP) scheme is introduced by using artificial immune system (AIS) as an online approximator for a class of nonlinear discrete-time systems. Traditionally, AIS is considered as an offline tool for fault detection (FD). However, in this paper, AIS is utilized as an online approximator in discrete-time (OLAD) along with a robust adaptive term in the proposed fault diagnostics observer. Using the fact that the system outputs are alone measurable, an output residual is determined by comparing the observer and system outputs and a fault is detected if this output residual exceeds a predefined threshold. Upon detection, the OLADs are initiated to learn the unknown fault dynamics while the robust adaptive term ensure asymptotic convergence of the output residual for a state fault whereas a bounded result for an output fault. Additionally, for prognostics purposes, the parameter update law for AIS is used to estimate the time-to-failure (TTF). Finally, the performance of the proposed FDP scheme is demonstrated experimentally on an axial piston pump test-bed for two failure modes.","PeriodicalId":208713,"journal":{"name":"2011 IEEE International Conference on Control Applications (CCA)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132834417","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

Simple model of whirl 简单的旋转模型

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044459

Y. Kovalyshen

引用次数: 0

Planning the visual measurement of n moving objects by m moving cameras, given their relative trajectories 计划用m台运动摄像机对n个运动物体进行视觉测量，给定它们的相对轨迹

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044372

H. Nourzadeh, J. McInroy

{"title":"Planning the visual measurement of n moving objects by m moving cameras, given their relative trajectories","authors":"H. Nourzadeh, J. McInroy","doi":"10.1109/CCA.2011.6044372","DOIUrl":"https://doi.org/10.1109/CCA.2011.6044372","url":null,"abstract":"This paper presents a planning algorithm suitable whenever n objects must be collectively characterized by m observers and their relative motions are known a priori. This situation arises in Space Situational Awareness (SSA) problems due to the fixed orbits of spacecraft, and also occurs in several other aerospace and manufacturing environments. The new algorithm is a synthesis of two standard methods used to solve combinatorial optimization problems arising from various large-scale constrained active sensor planning applications. The algorithm allows constituent techniques to operate in domains where they perform better. Both constituent methods, Integer Linear Programming (ILP) Relaxation and a Batch-Greedy algorithm, are elaborated in detail. A very powerful feature of the overall approach is that an upper bound on the gap between the found sub-optimal solution and the unknown optimal solution is available. The ILP-relaxation algorithm provides an optimal but physically unrealizable solution, so if realizable performance approaches that of the ILP-relaxation solution, then the sub-optimal solution is very nearly optimal. A visual inspection problem for SSA, which lies in the strongly NP-hard class, is considered and it has been shown that the mixed method yields very nearly optimal solutions in polynomial time. Simulation results confirm the effectiveness of the proposed planning method on different orbits, including Low Earth and geosynchronous orbits.","PeriodicalId":208713,"journal":{"name":"2011 IEEE International Conference on Control Applications (CCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127864683","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

Data-driven modeling and feedback tracking control of the toroidal rotation profile for advanced tokamak scenarios in DIII-D DIII-D中先进托卡马克场景环面旋转剖面的数据驱动建模和反馈跟踪控制

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044371

W. Wehner, Chao Xu, E. Schuster, D. Moreau, D. Mazon, M. Walker, D. Humphreys, Y. In

{"title":"Data-driven modeling and feedback tracking control of the toroidal rotation profile for advanced tokamak scenarios in DIII-D","authors":"W. Wehner, Chao Xu, E. Schuster, D. Moreau, D. Mazon, M. Walker, D. Humphreys, Y. In","doi":"10.1109/CCA.2011.6044371","DOIUrl":"https://doi.org/10.1109/CCA.2011.6044371","url":null,"abstract":"First-principle predictive tokamak plasma models based on flux averaged transport equations often yield complex expressions not suitable for real time control implementations. Addition of turbulent transport phenomena further encumbers these models with transport coefficients that must be determined experimentally and the interdependences between parameters must be accounted for with ad hoc assumptions. As an alternative to first principle modeling, data-driven modeling techniques involving system identification have the potential to obtain practical, low complexity, dynamic models without the need for ad hoc assumptions. This paper considers the evolution of the toroidal rotation profile in response to the heating and current drive (H&CD) systems. Experiments are conducted during plasma current flattop, in which the actuators are modulated in open-loop to obtain data for the model identification. The rotation profile is discretized in the spatial coordinate by Galerkin projection. Then a linear state space model is generated by the prediction error method (PEM) to relate the rotation profile to the actuators according to a least squares fit. An optimal tracking controller is proposed to regulate the rotation profile to a desired reference trajectory.","PeriodicalId":208713,"journal":{"name":"2011 IEEE International Conference on Control Applications (CCA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114905296","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: 8

Exploiting inertia of wind turbines in power network frequency control: A model predictive control approach 利用风电机组惯性进行电网频率控制:一种模型预测控制方法

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI: 10.1109/CCA.2011.6044490

N. Deelen, A. Jokić, P. V. D. Bosch, R. M. Hermans

引用次数: 10