5期

最新文章

• Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization AI翻译
  作者：Doan, Thinh T.; Maguluri, Siva Theja; Romberg, Justin
  作者单位：University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology
  摘要：We study distributed optimization problems over a network when the communication between the nodes is constrained, and therefore, information that is exchanged between the nodes must be quantized. Recent advances using the distributed gradient algorithm with a quantization scheme at a fixed resolution have established convergence, but at rates significantly slower than when the communications are unquantized. In this article, we introduce a novel quantization method, which we refer to as adapt...
• Tube-Based Model Predictive Control Using Multidimensional Taylor Network for Nonlinear Time-Delay Systems AI翻译
  作者：Yan, Hong-Sen; Duan, Zheng-Yi
  作者单位：Southeast University - China
  摘要：For nonlinear time-delay systems with uncertainties, the existing approaches to robust model predictive control (MPC) are based on the min-max optimization formulation. Unfortunately, these approaches are generally conservative for most practical problems. For this sake, this article proposes a tube-based MPC consisting of MPC and control contraction metric (CCM) controller. The MPC is utilized as a nominal controller to generate a reference trajectory, while the CCM controller is used as a lo...
• Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution AI翻译
  作者：Wu, Shuang; Ren, Xiaoqiang; Hong, Yiguang; Shi, Ling
  作者单位：Hong Kong University of Science & Technology; Shanghai University; Chinese Academy of Sciences
  摘要：We consider the design of a fair sensor schedule for a number of sensors monitoring different linear time-invariant processes. The largest average remote estimation error among all processes is to be minimized. We first consider a general setup for the max-min fair allocation problem. By reformulating the problem as its equivalent form, we transform the fair resource allocation problem into a zero-sum game between a judge and a resource allocator. We propose an equilibrium seeking procedure an...
• Stabilization of Nonlinear Discrete-Time Systems to Target Measures Using Stochastic Feedback Laws AI翻译
  作者：Biswal, Shiba; Elamvazhuthi, Karthik; Berman, Spring
  作者单位：University of California System; University of California Los Angeles; Arizona State University; Arizona State University-Tempe
  摘要：In this article, we address the problem of stabilizing a discrete-time deterministic nonlinear control system to a target invariant measure using time-invariant stochastic feedback laws. This problem can be viewed as an extension of the problem of designing the transition probabilities of a Markov chain so that the process is exponentially stabilized to a target stationary distribution. Alternatively, it can be seen as an extension of the classical control problem of asymptotically stabilizing...
• Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks AI翻译
  作者：Huang, Lingying; Wang, Jiazheng; Kung, Enoch; Mo, Yilin; Wu, Junfeng; Shi, Ling
  作者单位：Hong Kong University of Science & Technology; University of London; University College London; Tsinghua University; Tsinghua University; Zhejiang University
  摘要：We consider the problem of communication allocation for remote state estimation in a cognitive radio sensor network (CRSN). A sensor collects measurements of a physical plant, and transmits the data to a remote estimator as a secondary user (SU) in the shared network. The existence of the primal users (PUs) brings exogenous uncertainties into the transmission scheduling process, and how to design an event-based scheduling scheme considering these uncertainties has not been addressed in the lit...
• On Spectral Properties of Signed Laplacians With Connections to Eventual Positivity AI翻译
  作者：Chen, Wei; Wang, Dan; Liu, Ji; Chen, Yongxin; Khong, Sei Zhen; Basar, Tamer; Johansson, Karl H.; Qiu, Li
  作者单位：Peking University; Peking University; Hong Kong University of Science & Technology; State University of New York (SUNY) System; Stony Brook University; University System of Georgia; Georgia Institute of Technology; University of Illinois System; University of Illinois Urbana-Champaign; Royal Institute of Technology; University of Melbourne; Lund University; University of Minnesota System; University of Minnesota Twin Cities; University of Hong Kong
  摘要：Signed graphs have appeared in a broad variety of applications, ranging from social networks to biological networks, from distributed control and computation to power systems. In this article, we investigate spectral properties of signed Laplacians for undirected signed graphs. We find conditions on the negative weights under which a signed Laplacian is positive semidefinite via the Kron reduction and multiport network theory. For signed Laplacians that are indefinite, we characterize their in...
• Distributed Big-Data Optimization via Blockwise Gradient Tracking AI翻译
  作者：Notarnicola, Ivano; Sun, Ying; Scutari, Gesualdo; Notarstefano, Giuseppe
  作者单位：University of Bologna; Purdue University System; Purdue University
  摘要：We study distributed big-data nonconvex optimization in multiagent networks. We consider the (constrained) minimization of the sum of a smooth (possibly) nonconvex function, i.e., the agents' sum-utility, plus a convex (possibly) nonsmooth regularizer. Our interest is on big-data problems in which there is a large number of variables to optimize. If treated by means of standard distributed optimization algorithms, these large-scale problems may be intractable due to the prohibitive local compu...
• Ergodicity, Output-Controllability, and Antithetic Integral Control of Uncertain Stochastic Reaction Networks AI翻译
  作者：Briat, Corentin; Khammash, Mustafa
  摘要：The ergodicity and the output-controllability of stochastic reaction networks have been shown to be essential properties to fulfill to enable their control using, for instance, antithetic integral control (Briat, Gupta, Khammash, Antithetic integral feedback ensures robust perfect adaptation in noisy biomolecular networks, Cell Syst., vol. 2, pp. 17-28, 2016). We propose here to extend those properties to the case of uncertain networks. To this aim, the notions of interval, robust, sign, and s...
• Data Assimilation and Online Optimization With Performance Guarantees AI翻译
  作者：Li, Dan; Martinez, Sonia
  作者单位：University of California System; University of California San Diego
  摘要：This article considers a class of real-time stochastic optimization problems dependent on an unknown probability distribution. In the considered scenario, data are streaming frequently while trying to reach a decision. Thus, we aim to devise a procedure that incorporates samples (data) of the distribution sequentially and adjusts decisions accordingly. We approach this problem in a distributionally robust optimization framework and propose a novel Online Data Assimilation Algorithm (OnDA Algor...
• Setpoint Attack Detection in Cyber-Physical Systems AI翻译
  作者：Lucia, Walter; Gheitasi, Kian; Ghaderi, Mohsen
  作者单位：Concordia University - Canada; Concordia University - Canada
  摘要：In this article, we face the problem of detecting setpoint attacks in networked control systems. We consider a setup where the reference signal (also known as setpoint) is generated by a control center remotely located with respect to a standard feedback controller. In this scenario, an attacker with sufficient resources can exploit the communication channel to alter the setpoint signal and ultimately affect the tracking performance of the control system. With respect to this problem, we propo...