4期

最新文章

• Data-Driven Link Prediction Over Graphical Models AI翻译
  作者：Alpago, Daniele; Zorzi, Mattia; Ferrante, Augusto
  作者单位：University of Padua
  摘要：The positive link prediction problem is formulated in a system identification framework: We consider dynamic graphical models for autoregressive moving-average (ARMA) Gaussian random processes. For the identification of the parameters, we model our network on two different time scales: A quicker one, over which we assume that the process representing the dynamics of the agents can be considered to be stationary, and a slower one in which the model parameters may vary. The latter accounts for t...
• A Unifying Approximate Method of Multipliers for Distributed Composite Optimization AI翻译
  作者：Wu, Xuyang; Lu, Jie
  作者单位：Royal Institute of Technology; ShanghaiTech University
  摘要：This article investigates solving convex composite optimization on an undirected network, where each node, privately endowed with a smooth component function and a nonsmooth one, is required to minimize the sum of all the component functions throughout the network. To address such a problem, a general approximate method of multipliers (AMM) is developed, which attempts to approximate the method of multipliers by virtue of a surrogate function with numerous options. We then design the possibly ...
• Finite-Time Analysis of Markov Gradient Descent AI翻译
  作者：Doan, Thinh T.
  作者单位：Virginia Polytechnic Institute & State University
  摘要：Motivated by its broad applications in system identifications, stochastic control, and machine learning, we study the popular stochastic gradient descent (SGD) when the gradient samples of the underlying objective function are generated from Markov processes. This Markov sampling leads to the gradient samples being biased and not independent. The existing results for the convergence of SGD under Markov settings are often established under the assumption on the boundedness of either the iterate...
• Delay-Compensated Distributed PDE Control of Traffic With Connected/Automated Vehicles AI翻译
  作者：Qi, Jie; Mo, Shurong; Krstic, Miroslav
  作者单位：Donghua University; University of California System; University of California San Diego
  摘要：We develop an input delay-compensating design for stabilization of an Aw-Rascle-Zhang (ARZ) traffic model in congested regime, which is governed by a 2 x 2 first-order hyperbolic nonlinear partial differential equation (PDE). The traffic flow consists of both adaptive cruise control-equipped (ACC-equipped) and manually driven vehicles. The control input is the time gap of ACC-equipped and connected vehicles, which is subject to delays resulting from communication lag. For the linearized system...
• Suboptimal Nonlinear Moving Horizon Estimation AI翻译
  作者：Schiller, Julian D.; Mueller, Matthias A.
  作者单位：Leibniz University Hannover
  摘要：In this article, we propose a suboptimal moving horizon estimator for a general class of nonlinear systems. For the stability analysis, we transfer the feasibility-implies-stability/robustness paradigm from model predictive control to the context of moving horizon estimation in the following sense. Using a suitably defined, feasible candidate solution based on an auxiliary observer, robust stability of the proposed suboptimal estimator is inherited independently of the horizon length and even ...
• Stability Criteria for Time-Delay Systems From an Insightful Perspective on the Characteristic Equation AI翻译
  作者：Scholl, Tessina H.; Groell, Lutz
  作者单位：Helmholtz Association; Karlsruhe Institute of Technology
  摘要：This article provides a delay-dependent and a necessary and sufficient delay-independent stability criterion for linear autonomous continuous-time systems with a discrete delay. We take a simple perspective on the two-variable formulation of the characteristic equation, which leads to the following advantageous but not widespread delay-independent criterion: The sum of the coefficient matrix of the delay-free term and the elementwise unitarily rotated matrix of the delay term must remain Hurwi...
• Distributed Continuous-Time Algorithm for Time-Varying Optimization With Affine Formation Constraints AI翻译
  作者：Wu, Chu; Fang, Hao; Zeng, Xianlin; Yang, Qingkai; Wei, Yue; Chen, Jie
  作者单位：Beijing Institute of Technology; Peng Cheng Laboratory; Tongji University
  摘要：In this article, we investigate a continuous-time distributed optimization problem with time-varying cost functions and affine formation constraints, which are described by the stress matrices rather than the standard Laplacians. The objective is to minimize the sum of local time-varying cost functions, each of which is known by only one individual agent. The optimal solution is a time-varying affine transformation of a nominal configuration rather than some constants. To tackle the difficulty...
• Solving Nonlinear Algebraic Loops Arising in Input-Saturated Feedbacks AI翻译
  作者：Blanchini, Franco; Giordano, Giulia; Riz, Francesco; Zaccarian, Luca
  作者单位：University of Udine; University of Trento; University of Trento; University of Trento; Centre National de la Recherche Scientifique (CNRS); Universite de Toulouse
  摘要：In this article, we propose a dynamic augmentation scheme for the asymptotic solution of the nonlinear algebraic loops arising in well-known input saturated feedbacks typically designed by solving linear matrix inequalities. We prove that the existing approach based on dynamic augmentation, which replaces the static loop by a dynamic one through the introduction of a sufficiently small time constant, works under some restrictive sufficient well-posedness conditions, requiring the existence of ...
• Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach AI翻译
  作者：Djeumou, Franck; Xu, Zhe; Cubuktepe, Murat; Topcu, Ufuk
  作者单位：University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin; Arizona State University; Arizona State University-Tempe
  摘要：We develop a probabilistic control algorithm, GTLProCo, for swarms of agents with heterogeneous dynamics and objectives, subject to high-level task specifications. The resulting algorithm not only achieves decentralized control of the swarm but also significantly improves scalability over state-of-the-art existing algorithms. Specifically, we study a setting in which the agents move along the nodes of a graph, and the high-level task specifications for the swarm are expressed in a recently pro...
• Sensitivity Conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales AI翻译
  作者：Picallo, Miguel; Bolognani, Saverio; Dorfler, Florian
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：A classical approach to design controllers for interconnected systems, is to assume that the different subsystems operate at different time scales, then design simpler controllers within each time scale, and finally, certify stability of the interconnected system via singular perturbation analysis. In this work, we propose an alternative approach that also allows to design the controllers of the individual subsystems separately. However, instead of requiring a sufficiently large time-scale sep...