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2015 American Control Conference (ACC)最新文献

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Synchronization stability of lossy and uncertain power grids 有耗不确定电网的同步稳定性
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172126
T. Vu, K. Turitsyn
{"title":"Synchronization stability of lossy and uncertain power grids","authors":"T. Vu, K. Turitsyn","doi":"10.1109/ACC.2015.7172126","DOIUrl":"https://doi.org/10.1109/ACC.2015.7172126","url":null,"abstract":"Direct energy methods have been extensively developed for the transient stability analysis and contingency screening of power grids. However, there is no analytical energy functions proposed for power grids with losses, which are normal in practice. This paper applies the recently introduced Lyapunov Functions Family approach to the certification of synchronization stability for lossy power grids. This technique does not rely on the global decreasing of the Lyapunov function as in the direct energy methods, and thus is possible to deal with the lossy power grids. We show that this approach is also applicable to uncertain power grids where the stable equilibrium is unknown due to possible uncertainties in system parameters. We formulate this new control problem and introduce techniques to certify the robust stability of a given initial state with respect to a set of equilibria.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130818157","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
Integrated identification and accommodation of sensor faults in networked distributed processes with communication delays 具有通信延迟的网络分布式过程中传感器故障的集成识别与调节
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7170910
Di Peng, N. El‐Farra
{"title":"Integrated identification and accommodation of sensor faults in networked distributed processes with communication delays","authors":"Di Peng, N. El‐Farra","doi":"10.1109/ACC.2015.7170910","DOIUrl":"https://doi.org/10.1109/ACC.2015.7170910","url":null,"abstract":"This paper considers the problem of sensor fault-tolerant control of a class of spatially distributed systems subject to discrete and delayed sensor-controller communication. An integrated approach that combines data-based fault identification and stability-based fault accommodation is developed on the basis of a suitable reduced-order model of the infinite-dimensional system. A moving-horizon parameter estimation scheme is developed to estimate on-line the size and location of the faults using the sampled output and input data. Once the location and magnitude of the fault are identified and communicated to the controller, fault accommodation takes place by means of adjusting the controller and estimator design parameters, and/or adjusting the control actuator locations. The selection of the appropriate strategy is made based on the estimated fault size and the characterization of the networked closed-loop stability region. The results are illustrated using a simulated diffusion-reaction process example.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130737661","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
A longitudinal spatial coherence model for wind evolution based on large-eddy simulation 基于大涡模拟的风演化纵向空间相干模型
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7171906
E. Simley, L. Pao
{"title":"A longitudinal spatial coherence model for wind evolution based on large-eddy simulation","authors":"E. Simley, L. Pao","doi":"10.1109/ACC.2015.7171906","DOIUrl":"https://doi.org/10.1109/ACC.2015.7171906","url":null,"abstract":"Standard feedback controllers on wind turbines can be augmented with feedforward control, relying on preview measurements of the wind provided by remote sensing instruments, to help regulate rotor speed and reduce structural loads. The effectiveness of feedforward control depends on how accurately the approaching wind can be measured. One significant cause of measurement error is the evolution of the wind as it travels toward the turbine from the measurement location. Wind evolution is commonly quantified using longitudinal spatial coherence to describe the decorrelation of turbulence as the wind advects downstream. In this paper, a collection of wind fields produced by large-eddy simulation is used to calculate longitudinal coherence for a variety of atmospheric conditions. Using the calculated coherence curves, we determine a simple longitudinal coherence formula for approximating wind evolution, which depends on mean wind speed, turbulent kinetic energy, and turbulence length scale. This formula is then used to find the optimal scan configurations that minimize measurement error for a preview-based control scenario employing Light Detection and Ranging. Results show how the optimal preview distance and achievable measurement error depend on the aforementioned wind parameters.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"132 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130832396","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: 40
Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors 基于无气味卡尔曼滤波的手指跟踪利用磁阻传感器
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172139
Luke P. Simmons, J. Welsh
{"title":"Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors","authors":"Luke P. Simmons, J. Welsh","doi":"10.1109/ACC.2015.7172139","DOIUrl":"https://doi.org/10.1109/ACC.2015.7172139","url":null,"abstract":"In this paper we utilise magnetoresistive sensors and an Unscented Kalman Filter to develop a finger tracking system for physical therapy and human-machine interaction. The aim of this finger tracking system is to provide a light weight apparatus with a prolonged operational period. The finger tracking algorithm utilises two-dimensional measurements of each joint relative to a magnetic field reference point to obtain an accurate model of the finger position as opposed to other light weight systems that provide information in only one dimension. The nonlinear interaction between joint movements and sensor measurement requires a nonlinear filtering technique, as such, a Kalman filter that utilises an unscented transformation was utilised.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132889686","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
Competition over epidemic networks: Nash and stackelberg games 流行病网络的竞争:纳什和斯塔克尔伯格博弈
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7171037
Zhi Xu, A. Khanafer, T. Başar
{"title":"Competition over epidemic networks: Nash and stackelberg games","authors":"Zhi Xu, A. Khanafer, T. Başar","doi":"10.1109/ACC.2015.7171037","DOIUrl":"https://doi.org/10.1109/ACC.2015.7171037","url":null,"abstract":"We study the competition over epidemic networks within a game-theoretic framework. Based on the homogeneous n-intertwined Markov model for epidemic spread, we introduce a novel epidemic competition between a network designer and an intelligent adversary, where the designer can protect the network by increasing the curing rate and the adversary, on the contrary, is able to manipulate the infection rate in order to do as much damage as possible. We focus on the case where the underlying graph is fully connected but the analysis can be readily extended to the case of the connected k-regular graph.We fully characterize the Nash solutions and Stackelberg solutions when either the designer or the adversary is the leader, and show that how each player will play in the games will largely depend on the relative costs for protecting and attacking the network.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132924228","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
Distributed consensus algorithms for collaborative temperature control in smart buildings 智能建筑协同温度控制的分布式共识算法
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172241
S. Gupta, K. Kar, Sandipan Mishra, J. Wen
{"title":"Distributed consensus algorithms for collaborative temperature control in smart buildings","authors":"S. Gupta, K. Kar, Sandipan Mishra, J. Wen","doi":"10.1109/ACC.2015.7172241","DOIUrl":"https://doi.org/10.1109/ACC.2015.7172241","url":null,"abstract":"Buildings with shared spaces such as corporate office buildings, university dorms, etc. involve multiple occupants who are likely to have different temperature preferences. The building temperature control system needs to balance the desire of all users, as well as take the building energy cost into account. Centralized temperature management is challenging as the use comfort function is held privately and not centrally known. This paper proposes a distributed temperature control algorithm which ensures that a consensus is attained among all occupants, irrespective of their temperature preferences. Occupants are only assumed to be rational, in that they choose their own temperature set-points to minimize a combination of their individual energy cost and discomfort. We establish the convergence of the proposed algorithm to the optimal temperature set-point that minimizes the sum of the energy cost and the aggregate discomfort of all occupants. Simulations with realistic parameter settings illustrate the performance of the algorithm and provide insights on the dynamics of the system with a mobile user population.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"1 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132939711","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
Bio-inspired pursuit with autonomous hovercraft using Lyapunov-based control 利用李亚普诺夫控制的自主气垫船的仿生追求
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7171810
Daigo Shishika, Justin K. Yim, D. Paley
{"title":"Bio-inspired pursuit with autonomous hovercraft using Lyapunov-based control","authors":"Daigo Shishika, Justin K. Yim, D. Paley","doi":"10.1109/ACC.2015.7171810","DOIUrl":"https://doi.org/10.1109/ACC.2015.7171810","url":null,"abstract":"The problem of pursuit has been studied mostly in the context of missile guidance and navigation, however, it is also an essential component in biological systems ranging from prey capture to mating and in bio-inspired engineering applications with small, cheap, and agile vehicles. We consider the pursuit problem with a focus on robustness to noisy sensor measurements and efficiency in the control effort. We design a pursuit law based on Lyapunov analysis and establish its robustness to unknown target acceleration and measurement errors using the concept of ultimate boundedness. We also present the results from experiments conducted to study the practical challenges involved in pursuit by lightweight platforms with noisy sensors. These experiments highlight the benefit of using less control effort in the presence of large measurement errors as compared to existing missile guidance laws.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133157879","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
Distributed MPC of constrained linear systems with online decoupling of the terminal constraint 终端约束在线解耦约束线性系统的分布MPC
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7171182
Zheming Wang, C. Ong
{"title":"Distributed MPC of constrained linear systems with online decoupling of the terminal constraint","authors":"Zheming Wang, C. Ong","doi":"10.1109/ACC.2015.7171182","DOIUrl":"https://doi.org/10.1109/ACC.2015.7171182","url":null,"abstract":"This paper proposes a decoupling strategy for the Distributed Model Predictive Control (DMPC) for a network of dynamically-coupled linear systems. Like most DMPC approaches, the proposed DMPC uses a terminal set as a constraint in the online optimization problem for each linear system. Unlike them, the size and location of the terminal set is computed online and changes at every time step, obtained from estimates of the predicted states of other systems in the network. Such an approach results in a less conservative DMPC approach. Numerical examples using this method are provided.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379522","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
On aggregate control of clustered consensus networks 聚类共识网络的聚合控制
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172204
Almuatazbellah M. Boker, T. Nudell, A. Chakrabortty
{"title":"On aggregate control of clustered consensus networks","authors":"Almuatazbellah M. Boker, T. Nudell, A. Chakrabortty","doi":"10.1109/ACC.2015.7172204","DOIUrl":"https://doi.org/10.1109/ACC.2015.7172204","url":null,"abstract":"In this paper we address the problem of controlling the slow-time-scale dynamics of clustered consensus networks. Using time-scale separation arising from clustering, we first decompose the actual network model into an approximate model, and define the controller at every node as the sum of two independent state-feedback controls, one for the fast dynamics and another for the slow. We show that the slow controller is identical for every node belonging to the same cluster, indicating that only a single aggregate slow controller needs to be designed per area. This reduces the computational complexity of the design significantly. Applying results from singular perturbation theory, we show that when these individual controllers are implemented on the actual network, the closed-loop response is close to that obtained from the approximate models, provided that the clustering is strong. The design procedure is demonstrated by a simulation example.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133387648","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: 19
Model-based sparse source identification 基于模型的稀疏源识别
2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7170997
Reza Khodayi-mehr, W. Aquino, M. Zavlanos
{"title":"Model-based sparse source identification","authors":"Reza Khodayi-mehr, W. Aquino, M. Zavlanos","doi":"10.1109/ACC.2015.7170997","DOIUrl":"https://doi.org/10.1109/ACC.2015.7170997","url":null,"abstract":"This paper presents a model-based approach for source identification using sparse recovery techniques. In particular, given an arbitrary domain that contains a set of unknown sources and a set of stationary sensors that can measure a quantity generated by the sources, we are interested in predicting the shape, location, and intensity of the sources based on a limited number of sensor measurements. We assume a PDE model describing the steady-state transport of the quantity inside the domain, which we discretize using the Finite Element method (FEM). Since the resulting source identification problem is underdetermined for a limited number of sensor measurements and the sought source vector is typically sparse, we employ a novel Reweighted l1 regularization technique combined with Least Squares Debiasing to obtain a unique, sparse, reconstructed source vector. The simulations confirm the applicability of the presented approach for an Advection-Diffusion problem.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133402286","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: 12
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