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作者:Gao, Chen; Wang, Zidong; He, Xiao; Liu, Yang; Yue, Dong
作者单位:Nanjing University of Science & Technology; Brunel University; Tsinghua University; University of Huddersfield; Nanjing University of Posts & Telecommunications
摘要:This article is concerned with the differentially private consensus control (DPCC) problem for linear discrete-time multiagent systems (MASs) under dynamic encoding-decoding schemes (EDSs), where the agents' initial states are the sensitive data to be protected from potential eavesdroppers. The EDS is deployed on each agent to compress the data before transmission so as to better utilize the limited network bandwidth. Differential privacy, as a performance metric, is introduced to evaluate the...
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作者:Deng, Li; Shu, Zhan; Chen, Tongwen
作者单位:University of Alberta
摘要:An event-triggered robust model predictive control (MPC) design is proposed for unknown systems using initially measured input-output data. A terminal inequality constraint is developed for the MPC optimization problem without any prior identification, resulting in a larger feasible region and a lower bound for the prediction horizon when compared with a terminal equality constraint. An event-triggered scheme associated with a local controller is designed to trigger the solution of the data-dr...
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作者:Ma, Qianqian; Liu, Yang-Yu; Olshevsky, Alex
作者单位:Boston University; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard Medical School; Boston University
摘要:As a common strategy of contagious disease containment, lockdowns inevitably have economic cost. The ongoing COVID-19 pandemic underscores the tradeoff arising from public health and economic cost. An optimal lockdown policy to resolve this tradeoff is desired. Here, we propose a mathematical framework of pandemic control through an optimal fixed stabilizing nonuniform lockdown, where our goal is to reduce the economic activity as little as possible while decreasing the number of infected indi...
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作者:Mulagaleti, Sampath Kumar; Bemporad, Alberto; Zanon, Mario
摘要:Given a stable linear time-invariant system subject to output constraints, in this article, we present a method to compute a set of disturbances such that the reachable set of outputs matches as closely as possible the output constraint set, while being included in it. This problem finds application in several control design problems, such as the development of hierarchical control loops, decentralized control, supervisory control, robustness verification, etc. We first characterize the set of...
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作者:Scholl, Tessina H.; Hagenmeyer, Veit; Groell, Lutz
作者单位:Helmholtz Association; Karlsruhe Institute of Technology
摘要:This article proposes an approach to complete-type and related Lyapunov-Krasovskii functionals that neither requires knowledge of the delay-Lyapunov matrix function nor does it involve linear matrix inequalities. The approach is based on ordinary differential equations (ODEs) that approximate the time-delay system. The ODEs are derived via spectral methods, e.g., the Chebyshev collocation method (also called pseudospectral discretization) or the Legendre tau method. A core insight is that the ...
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作者:Belabbas, Mohamed-Ali; Chen, Xudong
作者单位:University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign; Washington University (WUSTL)
摘要:In a recent article (Belabbas et al., 2022), we have exhibited a set of conditions that are necessary for the $H$-property to hold for the class of step-graphons. In this article, we prove that these conditions are essentially sufficient.
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作者:Massiani, Pierre-Francois; Buisson-Fenet, Mona; Solowjow, Friedrich; Di Meglio, Florent; Trimpe, Sebastian
作者单位:RWTH Aachen University; Universite PSL; MINES ParisTech; Ansys, Inc.; Ansys France
摘要:Distinguishability and, by extension, observability are key properties of dynamical systems. Establishing these properties is challenging, especially when no analytical model is available and they are to be inferred directly from measurement data. The presence of noise further complicates this analysis, as standard notions of distinguishability are tailored to deterministic systems. In this article, we build on distributional distinguishability, which extends the deterministic notion by compar...
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作者:Mohsenipour, Reza; Liu, Guangjun
作者单位:Toronto Metropolitan University; University of Cambridge
摘要:This article presents a solution for the problem of flexible single-link robotic manipulators control in the frequency domain based on a full-order transfer function model. A transfer function model is derived from the partial differential equations of the flexible single-link manipulator system without any model order reduction. Conditions are obtained for the stability of the derived model that takes into account the payload mass changes. Employing these conditions, desired regions are obtai...
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作者:Selivanov, Anton; Fridman, Emilia
作者单位:University of Sheffield; Tel Aviv University
摘要:Recently, a constructive approach to the design of finite-dimensional observer-based controller has been proposed for parabolic partial differential equations (PDEs). This article extends it to hyperbolic PDEs. Namely, we design a finite-dimensional, output-feedback, boundary controller for a wave equation with in-domain viscous friction. The control-free system is unstable for any friction coefficient due to an external force. Our approach is based on modal decomposition: an observer-based co...
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作者:Xu, Haofeng; Zhu, Quanxin; Zheng, Wei Xing
作者单位:Hunan Normal University; Western Sydney University
摘要:This article is devoted to stability analysis of stochastic nonlinear delay systems subject to multiple periodic impulses. By means of the stochastic analysis technique and improved Razumikhin method, we obtain several novel stability criteria under the combined action of impulsive disturbance and impulsive control. It is worth noting that the definition of globally weakly stochastically exponential stability is introduced and this article is the first attempt to study such stability notion fo...