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2017 American Control Conference (ACC)最新文献

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Actuator selection for cyber-physical systems 网络物理系统的致动器选择
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963778
A. Taha, Nikolaos Gatsis, T. Summers, Sebastian A. Nugroho
In cyber-physical systems (CPS), the problem of controlling resources can be depicted as an actuator selection problem. Given a large library of actuators and a control objective, what is the least number of actuators to be selected, and what is the corresponding optimal control law? These dynamic design questions are inherently coupled. In this paper, we show that a breadth of actuator selection and optimal control problems (stabilizability, robust and LQR control routines, control of uncertain, nonlinear systems) that do not satisfy the submodularity property lead to the formulation of two classes of combinatorial optimization routines for unstable CPSs: mixed-integer semidefinite programs and mixed-integer bilinear matrix inequalities. Branch-and-bound and greedy algorithms are proposed to address the computational complexity, and numerical results are given to illustrate the proposed formulations.
在网络物理系统(CPS)中,控制资源的问题可以描述为执行器选择问题。给定一个大的执行器库和一个控制目标,选择的执行器的最少数量是多少,对应的最优控制律是什么?这些动态设计问题是内在耦合的。在本文中,我们证明了不满足子模块化性质的执行器选择和最优控制问题(稳定性,鲁棒性和LQR控制例程,不确定非线性系统的控制)的宽度导致两类不稳定CPSs的组合优化例程的公式:混合整数半定规划和混合整数双线性矩阵不等式。提出了分支定界算法和贪心算法来解决计算复杂性问题,并给出了数值结果来说明所提出的公式。
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引用次数: 3
Model Based Design (MBD) and Hardware In the Loop (HIL) validation: Curriculum development 基于模型的设计(MBD)和硬件在环(HIL)验证:课程开发
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963788
Punit Tulpule, A. Rezaeian, Aditya Karumanchi, S. Midlam-Mohler
Model Based Design (MBD) and systems engineering topics have been separately included in the engineering undergraduate curriculum for many years. Dynamical systems, modeling, optimization, and control, and statistical methods for Validation and Verification (V&V) are typically separate courses, but when it comes to industrial applications, all of these topics need to be considered together using systems engineering principles. Hardware-In-the-Loop (HIL) is a commonly followed practice for V&V, but it was not a part of engineering curriculum at the Ohio State University (OSU). In order to better prepare future engineers for industry requirements, it is necessary to bridge the gaps between the knowledge students gain in different courses. Hence, a pilot course was developed and taught at The OSU, which includes MBD and V&V from a systems engineering perspective. A laboratory project and assignments were designed which used virtual HIL allowing the students hands on experience. The small size pilot class allowed each student access to the virtual HIL setup.
多年来,基于模型的设计(MBD)和系统工程主题已经分别包含在工程本科课程中。动态系统,建模,优化和控制,以及验证和验证(V&V)的统计方法通常是单独的课程,但是当涉及到工业应用时,所有这些主题都需要使用系统工程原理一起考虑。硬件在环(hardware - in - loop, HIL)是V&V通常遵循的实践,但它并不是俄亥俄州立大学(Ohio State University, OSU)工程课程的一部分。为了使未来的工程师更好地为行业需求做好准备,有必要弥合学生在不同课程中获得的知识之间的差距。因此,俄勒冈州立大学开发并教授了一个试点课程,从系统工程的角度来看,它包括MBD和V&V。设计了一个实验室项目和作业,使用虚拟HIL让学生动手体验。小规模的试点班级允许每个学生访问虚拟HIL设置。
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引用次数: 8
Event-triggered leader-follower tracking control for interconnected systems with undirected communication graphs 具有无向通信图的互联系统的事件触发领导-随从跟踪控制
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963569
Yi Cheng, V. Ugrinovskii
This paper considers the event-triggered leader-follower tracking control for interconnected systems. Unlike the large body of existing work, here we consider systems which are physically coupled with uncertain norm-bounded coupling between the subsystems. We propose a model based event-triggered tracking control strategy and an event triggering rule with a time-dependent threshold which guarantees that the tracking errors in the systems asymptotically converge to zero. With the proposed event triggering rule, we prove that the systems do not exhibit Zeno behavior. In addition, the proposed event-triggered tracking control strategy is also employed to decoupled multi-agent systems. The efficacy of the proposed method is discussed using a simulation example.
研究了事件触发的互联系统的leader-follower跟踪控制。与现有的大量工作不同,这里我们考虑子系统之间具有不确定范数有界耦合的物理耦合系统。提出了一种基于模型的事件触发跟踪控制策略和一种具有时变阈值的事件触发规则,以保证系统的跟踪误差渐近收敛于零。利用所提出的事件触发规则,我们证明了系统不表现出芝诺行为。此外,所提出的事件触发跟踪控制策略也被用于解耦的多智能体系统。通过一个仿真算例,讨论了该方法的有效性。
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引用次数: 3
RSSI-based heading control for robust long-range aerial networking using directional antennas 基于rssi的定向天线鲁棒远程空中网络航向控制
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963815
Jing Yan, Yan Wan, Junfei Xie, Shengli Fu, Songwei Li
Aerial networking using directional antennas (ANDA) is considered as a promising solution for the networking of unmanned aerial vehicles (UAVs) over long distance. The cyber constraints on communication channel characteristics and physical constraints on the payload, power, and mobility of UAVs produce challenges to achieve a robust ANDA. In this paper, an RSSI and fuzzy logic based control algorithm is developed to control directional antennas mounted on two moving UAVs to achieve a robust broad-band long-distance communication channel. In particular, the self-alignment of UAV-mounted directional antennas over a long distance is achieved through fusing GPS and communication channel characteristic measured by received signal strength indicator (RSSI), using unscented Kalman filter and fuzzy logic strategies. Simulations are performed to validate the RSSI and fuzzy logic based directional antenna control approach. The solution developed in this paper can significantly enhance the performance of wireless communication channel in imperfect environment subject to the unavailability of GPS and unstable strength of wireless signals.
使用定向天线(ANDA)的空中网络被认为是一种很有前途的远程无人驾驶飞行器(uav)网络解决方案。通信信道特性的网络约束和无人机有效载荷、功率和机动性的物理约束对实现鲁棒ANDA产生了挑战。本文提出了一种基于RSSI和模糊逻辑的控制算法,用于控制两架移动无人机上的定向天线,以实现鲁棒的宽带远程通信信道。其中,通过融合GPS和接收信号强度指示器(RSSI)测量的通信信道特征,采用无气味卡尔曼滤波和模糊逻辑策略,实现了无人机定向天线的远距离自对准。仿真验证了基于RSSI和模糊逻辑的定向天线控制方法。本文提出的解决方案可以在GPS不可用和无线信号强度不稳定的不完全环境下显著提高无线通信信道的性能。
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引用次数: 2
A variational approach to dual methods for constrained convex optimization 约束凸优化对偶方法的变分方法
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963773
Mahyar Fazlyab, Alec Koppel, V. Preciado, Alejandro Ribeiro
We approach linearly constrained convex optimization problems through their dual reformulation. Specifically, we derive a family of accelerated dual algorithms by adopting a variational perspective in which the dual function of the problem represents the scaled potential energy of a synthetic mechanical system, and the kinetic energy is defined by the Bregman divergence induced by the dual velocity flow. Through application of Hamilton's principle, we derive a continuous-time dynamical system which exponentially converges to the saddle point of the Lagrangian. Moreover, this dynamical system only admits a stable discretization through accelerated higher-order gradient methods, which precisely corresponds to accelerated dual mirror ascent. In particular, we obtain discrete-time convergence rate O(1/kp), where p − 1 is the truncation index of the Taylor expansion of the dual function. For practicality sake, we consider p = 2 and p = 3 only, respectively corresponding to dual Nesterov acceleration and a dual variant of Nesterov's cubic regularized Newton method. This analysis provides an explanation from whence dual acceleration comes as the discretization of the Euler-Lagrange dynamics associated with the constrained convex program. We demonstrate the performance of the aforementioned continuous-time framework with numerical simulations.
通过对线性约束凸优化问题的对偶重新表述,研究了线性约束凸优化问题。具体来说,我们采用变分的观点推导了一系列加速对偶算法,其中问题的对偶函数表示合成机械系统的标化势能,动能由对偶速度流引起的Bregman散度定义。应用哈密顿原理,导出了一个指数收敛于拉格朗日鞍点的连续时间动力系统。此外,该动力系统只允许通过加速高阶梯度方法进行稳定离散化,这正好对应于加速双镜像上升。特别地,我们得到了离散时间的收敛率O(1/kp),其中p - 1是对偶函数泰勒展开式的截断指标。为实用起见,我们只考虑p = 2和p = 3,分别对应于对偶Nesterov加速度和Nesterov三次正则牛顿方法的对偶变体。这种分析提供了一种解释,从何而来的双重加速度作为离散欧拉-拉格朗日动力学与约束凸程序。我们用数值模拟证明了上述连续时间框架的性能。
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引用次数: 20
Identification of destabilizing attacks in power systems 电力系统中不稳定攻击的识别
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963476
Michael Izbicki, Sajjad Amini, C. Shelton, Hamed Mohsenian Rad
In a destabilizing attack against a power system, the adversary hacks into generators or load control mechanisms to insert positive feedback into the power system dynamics. The implementation of destabilizing attacks, both on the generation and load sides, have recently been studied. There are also recent advances on how to detect, i.e., realize the presence of, destabilizing attacks in power systems. However, identifying the location(s) of the compromised buses is still an open problem. This is particularly challenging if, as in practice, one does not even know the number of compromised buses. Another challenge is to keep the computational complexity low to allow fast attack identification with high accuracy. To address these various issues, we observe in this paper that destabilizing attacks can be modeled as a reparameterization of the power system's dynamical model. Therefore, we propose an attack detection method that uses the unscented Kalman filter to jointly estimate both the system states and parameters of the attack. We also propose a low-rank modification to the Kalman filter that improves computational efficiency while maintaining the detection accuracy. We show empirically that this method successfully identifies complex attacks involving many buses.
在针对电力系统的不稳定攻击中,攻击者侵入发电机或负载控制机制,向电力系统动态中插入正反馈。不稳定攻击的实施,无论是在发电侧还是在负荷侧,最近都得到了研究。最近在如何检测,即实现电力系统中不稳定攻击的存在方面也取得了进展。然而,确定受损总线的位置仍然是一个悬而未决的问题。如果在实践中,人们甚至不知道受损总线的数量,那么这尤其具有挑战性。另一个挑战是保持较低的计算复杂度,以实现高精度的快速攻击识别。为了解决这些不同的问题,我们在本文中观察到,不稳定攻击可以建模为电力系统动态模型的重新参数化。因此,我们提出了一种利用无气味卡尔曼滤波器联合估计攻击的系统状态和参数的攻击检测方法。我们还提出了一种对卡尔曼滤波器的低秩修正,在保持检测精度的同时提高了计算效率。我们的经验表明,该方法成功地识别了涉及多个总线的复杂攻击。
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引用次数: 13
Join-the-shortest-queue scheduling with delay 带延迟地加入最短队列调度
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963205
Saied Mehdian, Zhengyuan Zhou, N. Bambos
Scheduling in queueing networks concerns a scenario where a scheduler, using system backlog information, decides to which processor to route arriving jobs to achieve various objectives. However, in such scenarios, a significant yet inevitable challenge facing the scheduler in practice is its delayed access to such system configuration information. In this paper, we incorporate this crucial delay element by considering the join-the-shortest-queue scheduling scheme and studying the effects on the system stability and performance arising from random delay in terms of the scheduler's access to system updates information. We characterize the interesting phenomenon observed that is of practical value: the join-the-shortest-queue is robust in the presence of such information delays.
队列网络中的调度涉及这样一种场景:调度程序使用系统积压信息决定将到达的作业路由到哪个处理器以实现各种目标。然而,在这种情况下,调度程序在实践中面临的一个重要但不可避免的挑战是它对此类系统配置信息的延迟访问。在本文中,我们考虑加入最短队列调度方案,并从调度程序访问系统更新信息的角度研究随机延迟对系统稳定性和性能的影响。我们描述了观察到的具有实用价值的有趣现象:在存在此类信息延迟的情况下,最短加入队列是鲁棒的。
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引用次数: 8
Marginal charging station pricing in an intelligent electric transportation system 智能电动交通系统中的边际充电站定价
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963478
M. Alizadeh, Hoi-To Wai, A. Goldsmith, A. Scaglione
We consider the coupling introduced between power and transportation systems through Electric Vehicles (EVs). We envision that a number of charging network operators track the mobility of EVs to better estimate their battery charging needs. They use this information to make better-informed decisions on how to participate in the wholesale market of electricity and also to design marginal retail prices that reduce wait times and electricity costs at charging stations. To formulate these decision-making and price design problems, we introduce a network flow model that can capture the temporally-variable travel and charge patterns of an EV population through expanding the transportation network with virtual arcs.
我们考虑通过电动汽车(ev)引入的电力和交通系统之间的耦合。我们设想,许多充电网络运营商将跟踪电动汽车的移动性,以更好地估计它们的电池充电需求。他们利用这些信息对如何参与电力批发市场做出更明智的决定,并设计边际零售价格,以减少充电站的等待时间和电力成本。为了制定这些决策和价格设计问题,我们引入了一个网络流模型,该模型可以通过虚拟弧线扩展交通网络来捕捉电动汽车人口的时间变化的出行和充电模式。
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引用次数: 0
Bode meets Kuramoto: Synchronized clusters in oscillatory networks Bode与Kuramoto:振荡网络中的同步簇
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963375
C. Favaretto, D. Bassett, A. Cenedese, F. Pasqualetti
In this paper we study cluster synchronization in a network of Kuramoto oscillators, where groups of oscillators evolve cohesively and at different frequencies from the neighboring oscillators. Synchronization is critical in a variety of systems, where it enables complex functionalities and behaviors. Synchronization over networks depends on the oscillators' dynamics, the interaction topology, and coupling strengths, and the relationship between these different factors can be quite intricate. In this work we formally show that three network properties enable the emergence of cluster synchronization. Specifically, weak inter-cluster connections, strong intra-cluster connections, and sufficiently diverse natural frequencies among oscillators belonging to different groups. Our approach relies on system-theoretic tools, and is validated with numerical studies.
本文研究了在Kuramoto振子网络中,振子群以与相邻振子不同的频率内聚演化的簇同步问题。同步在各种系统中都是至关重要的,它支持复杂的功能和行为。网络上的同步取决于振荡器的动态、交互拓扑和耦合强度,而这些不同因素之间的关系可能相当复杂。在这项工作中,我们正式展示了三个网络属性使集群同步的出现成为可能。具体来说,集群间连接弱,集群内连接强,属于不同组的振子之间的固有频率足够多样化。我们的方法依赖于系统理论工具,并通过数值研究验证。
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引用次数: 8
Modulus consensus over time-varying digraphs 时变有向图上的模一致
Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963075
Ji Liu, Dan Wang, Wei Chen, T. Başar
This paper considers a discrete-time modulus consensus model in which the interaction among a group of agents is described by a time-dependent, complex-valued, weighted digraph. It is shown that for any sequence of repeatedly jointly strongly connected digraphs, without any assumption on the structure of the complex-valued weights, the system asymptotically reaches modulus consensus. Sufficient conditions for exponential convergence to each possible type of limit states are provided. Specifically, it is shown that (1) if the sequence of complex-valued weighted digraphs is repeatedly jointly balanced with respect to the same type, the corresponding type of modulus consensus will be reached exponentially fast for almost all initial conditions; (2) if the sequence of complex-valued weighted digraphs is repeatedly jointly unbalanced, the system will converge to zero exponentially fast for all initial conditions.
本文研究了一种离散时间模一致模型,其中一组智能体之间的相互作用用一个时间相关的复值加权有向图来描述。证明了对于任意重复联合强连通有向图序列,在不考虑复值权值结构的情况下,系统渐近达到模一致。给出了指数收敛到各种可能的极限状态的充分条件。具体地说,(1)如果复值加权有向图序列相对于同一类型重复联合平衡,则几乎在所有初始条件下都能以指数速度达到相应类型的模一致性;(2)当复值加权有向图序列重复联合不平衡时,系统在所有初始条件下都以指数速度收敛于零。
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引用次数: 2
期刊
2017 American Control Conference (ACC)
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