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Dynamic Risk Measures for Finite-State Partially Observable Markov Decision Problems 有限状态部分可观察马尔可夫决策问题的动态风险度量
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611974072.22
Jingnan Fan, A. Ruszczynski
In this paper, we provide a theory of time-consistent dynamic risk measures for finite-state partially observable Markov decision problems. By employing our new concept of stochastic conditional time consistency, we show that such dynamic risk measures have a special structure, given by transition risk mappings as risk measures on the space of functionals on the observable state space only. Moreover, these mappings enjoy a strong monotonicity with respect to first order stochastic dominance.
本文给出了有限状态部分可观察马尔可夫决策问题的时间一致动态风险测度理论。通过引入随机条件时间一致性的新概念,我们证明了这种动态风险测度具有特殊的结构,由转移风险映射给出了仅在可观测状态空间上泛函空间上的风险测度。此外,这些映射相对于一阶随机优势具有很强的单调性。
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引用次数: 5
On Multi-Input Controllable Linear Systems Under Unknown Periodic DoS Jamming Attacks 未知周期DoS干扰下多输入可控线性系统研究
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611973273.30
Hamed Shisheh Foroush, S. Martínez
In this paper, we study remotely controlled and observed multi-input controllable continuous linear systems, subject to periodic Denial-of-Service (DoS) jamming attacks. We first design a control and triggering strategy provenly capable of beating any partially known jammer via properly placing the closed-loop poles. Building on it, we then present an algorithm that is able to guarantee the system stability under unknown jamming attacks of this class. The functionality of this algorithm is also theoretically proven.
本文研究了受周期性拒绝服务(DoS)干扰攻击的远程控制和观测多输入可控连续线性系统。我们首先设计了一种控制和触发策略,通过适当放置闭环极点,证明能够击败任何部分已知的干扰器。在此基础上,提出了一种能够保证该类未知干扰攻击下系统稳定性的算法。从理论上证明了该算法的功能性。
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引用次数: 23
Moderate Deviations Analysis for System Identification under Regular and Binary Observations 正则和二元观测下系统辨识的中等偏差分析
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611973273.8
Qi He, G. Yin, L. Wang
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引用次数: 3
A Decentralized Team Routing Strategy among Telecom Operators in an Energy-Aware Network 能源感知网络中电信运营商的分散团队路由策略
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611974072.47
M. Aicardi, R. Bruschi, F. Davoli, P. Lago
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引用次数: 4
Stability Analysis of a Controller/Observer for Input-Constrained DC-DC Boost Power Converters 输入受限DC-DC升压功率变换器控制器/观测器的稳定性分析
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611973273.11
J. Guzman-Guemez, J. Moreno–Valenzuela
In this paper, a new stability analysis of a known controller/observer for DC-DC boost converters is presented. The new analysis considers the overall closed–loop system, which includes the dynamics of the observation error as well as the dynamics of current and voltage error. This analysis relies in the stability theory of cascaded time-varying systems. In addition, two real–time experiments are shown, illustrating the robustness of the controller/observer.
本文提出了一种新的基于已知控制器/观测器的DC-DC升压变换器稳定性分析方法。新的分析考虑了整个闭环系统,包括观测误差的动态以及电流和电压误差的动态。这种分析依赖于级联时变系统的稳定性理论。此外,通过两个实时实验验证了控制器/观测器的鲁棒性。
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引用次数: 2
On-Line Model Predictive Control for Constrained Image Based Visual Servoing of a Manipulator 基于约束图像的机械臂视觉伺服在线模型预测控制
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611974072.31
A. Hajiloo, Mohammad Keshmiri, W. Xie
This paper presents an on–line image based visual servoing (IBVS) controller for a 6 DOF robotic system based on the robust model predictive control (RMPC) method. The controller is designed considering the robotic visual servoing system’s input and output constraints, such as robot physical limitations and visibility constraints. The proposed IBVS controller avoids the inverse of the image Jacobian matrix and hence can solve the intractable problems for the classical IBVS controller, such as large displacements between the initial and the desired positions of the camera. To verify the effectiveness of the proposed algorithm, real–time experimental results on a 6 Degrees–of–Freedom (DOF) robot manipulator with eye–in–hand configuration are presented
提出了一种基于鲁棒模型预测控制(RMPC)方法的六自由度机器人在线图像视觉伺服控制器。该控制器的设计考虑了机器人视觉伺服系统的输入和输出约束,如机器人的物理限制和可见性约束。所提出的IBVS控制器避免了图像雅可比矩阵的逆,从而解决了经典IBVS控制器难以解决的问题,如相机的初始位置与期望位置之间的大位移。为了验证该算法的有效性,给出了一种眼-手六自由度机械臂的实时实验结果
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引用次数: 0
Regulation of Anesthesia Delivery via ℒ1-Adaptive Control 通过_1 -自适应控制调控麻醉输送
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611973273.26
E. Kharisov, Carolyn L. Beck, M. Bloom
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引用次数: 4
Max-plus fundamental solution semigroups for optimal control problems 最优控制问题的最大+基本解半群
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611974072.51
P. Dower, W. McEneaney, Huan Zhang
Recent work concerning the development of fundamental solution semigroups for specific classes of optimal control and related problems is unified and generalized. By exploiting max-plus linearity, semiconvexity, and semigroup properties of the corresponding dynamic programming evolution operator, two types of max-plus fundamental solution semigroup are presented. These semigroups, referred to respectively as max-plus primal and max-plus dual space fundamental solution semigroups, consist of horizon indexed max-plus linear maxplus integral operators that facilitate the propagation of value functions, or (respectively) their semiconvex transform, to longer time horizons via simple max-plus convolutions. Properties of these semigroups, and interconnections between them, are established. Their application to solving specific problems, including a class of operator differential Riccati equations, is summarized.
最近关于一类最优控制和相关问题的基本解半群的发展的工作是统一和推广的。利用相应动态规划演化算子的最大+线性、半涡旋和半群性质,给出了两类最大+基本解半群。这些半群,分别被称为max-plus原初和max-plus对偶空间基本解半群,由水平索引max-plus线性maxplus积分算子组成,这些算子促进了值函数的传播,或者(分别)它们的半凸变换,通过简单的max-plus卷积到更长的时间范围。建立了这些半群的性质和它们之间的相互联系。总结了它们在求解具体问题中的应用,包括一类算子微分里卡第方程。
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引用次数: 22
Parameter Estimation in a Stochastic System Model for PageRank PageRank随机系统模型的参数估计
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611974072.59
Cody E. Clifton, B. Pasik-Duncan
The PageRank algorithm is used by Google as a way of hierarchically indexing web pages in order to provide relevant and reputable search results. Fundamentally, this algorithm relies on the hypertextual nature of the World Wide Web; indeed, the PageRank vector can be computed based simply on the hyperlink structure of every page in the web. In this paper, we consider a model for PageRank whose dynamics are described by a stochastic system and we establish strong consistency of the least squares estimator of an unknown parameter in this system. Furthermore, motivated by recent work on distributed randomized methods for computing PageRank, we show that the least squares estimator remains strongly consistent within a distributed framework.
PageRank算法被Google用作分层索引网页的一种方式,以提供相关和有信誉的搜索结果。从根本上说,这个算法依赖于万维网的超文本特性;事实上,PageRank向量可以简单地基于网络中每个页面的超链接结构来计算。本文考虑了一个动态由随机系统描述的PageRank模型,并在该模型中建立了未知参数最小二乘估计的强相合性。此外,受最近关于计算PageRank的分布式随机方法的工作的启发,我们表明最小二乘估计量在分布式框架内保持强一致性。
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引用次数: 2
Robustness and Performance Analysis of Cyclic Interconnected Dynamical Networks 循环互联动态网络的鲁棒性及性能分析
Pub Date : 1900-01-01 DOI: 10.1137/1.9781611973273.19
Milad Siami, N. Motee
The class of cyclic interconnected dynamical networks plays a crucial role in modeling of certain biochemical reaction networks. In this paper, we consider cyclic dynamical networks with loop topology and quantify bounds on various performance measures. First, we consider robustness of autonomous cyclic dynamical networks with respect to external stochastic disturbances. The H2–norm of the system is used as a robustness index to measure the expected steadystate dispersion of the state of the entire network. In particular, we explicitly quantify how the robustness index depends on the properties of the underlying digraph of a cyclic network. Next, we consider a class of cyclic dynamical networks with control inputs. Examples of such cyclic networks include a class of interconnected dynamical networks with some specific autocatalytic structure, e.g., glycolysis pathway. We characterize fundamental limits on the ideal performance of such cyclic networks by obtaining lower bounds on the minimum L2–gain disturbance attenuation. We show that how emergence of such fundamental limits result in essential tradeoffs between robustness and efficiency in cyclic networks.
一类循环互联动态网络在某些生化反应网络的建模中起着至关重要的作用。本文考虑具有环路拓扑的循环动态网络,并量化了各种性能指标的界。首先,我们考虑了自主循环动力网络对外部随机干扰的鲁棒性。系统的h2 -范数作为鲁棒性指标来衡量整个网络状态的期望稳态离散度。特别是,我们明确量化了鲁棒性指标如何依赖于循环网络的底层有向图的性质。接下来,我们考虑一类具有控制输入的循环动态网络。这种循环网络的例子包括一类具有特定自催化结构的相互连接的动态网络,例如糖酵解途径。我们通过获得最小l2增益干扰衰减的下界来表征这种循环网络理想性能的基本极限。我们展示了这些基本限制的出现如何导致循环网络中鲁棒性和效率之间的基本权衡。
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引用次数: 23
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SIAM Conf. on Control and its Applications
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