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作者：Wang, Jianzheng; Hu, Guoqiang
作者单位：Nanyang Technological University; Zhejiang University of Technology
摘要：In this work, we consider solving a distributed optimization problem in a multiagent network with multiple agent clusters. In each cluster, the agents manage separable cost functions composed of possibly nonsmooth components and aim to achieve an agreement on a common decision of the cluster. The global cost function is considered as the sum of the individual cost functions associated with affine coupling constraints on the clusters' decisions. To solve this problem, the dual problem is formul...
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作者：Xu, Haotian; Liu, Shuai; Wang, Bohui; Wang, Jingcheng
作者单位：Shandong University; Xidian University; Shanghai Jiao Tong University
摘要：The distributed observer design problem holds significant importance in cases in which the output information of a system is decentralized across different subsystems. Each subsystem has a local observer and access to one part of the measurement outputs and information exchanged through communication networks. This article focuses on the design of distributed observer with jointly connected directed switching networks. The problem presents challenges due to passive switching modes and the open...
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作者：Zhang, Yuan; Fernando, Tyrone; Darouach, Mohamed
作者单位：Beijing Institute of Technology; University of Western Australia; Universite de Lorraine
摘要：In this article, new characterizations for functional observability, functional detectability, and structural functional observability (SFO) are developed, and based on them, the related optimal sensor placement problems are investigated. A novel concept of modal functional observability coinciding with the notion of modal observability is proposed. This notion introduces necessary and sufficient conditions for functional observability and detectability in a unified way without resorting to sy...
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作者：Mitra, Aritra
作者单位：North Carolina State University
摘要：We study the finite-time convergence of temporal- difference (TD) learning with linear function approximation under Markovian sampling. Existing proofs for this setting either assume a projection step in the algorithm to simplify the analysis, or require a fairly intricate argument to ensure stability of the iterates. We ask: Is it possible to retain the simplicity of a projection-based analysis without actually performing a projection step in the algorithm? Our main contribution is to show th...
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作者：Boughellaba, Mouaad; Tayebi, Abdelhamid
作者单位：Lakehead University
摘要：In this article, we consider the problem of distributed attitude estimation of multiagent systems, evolving on SO(3), relying on individual angular velocity and relative attitude measurements. The interaction graph topology is assumed to be an undirected tree. First, we propose a continuous nonlinear distributed attitude estimation scheme with almost global asymptotic stability guarantees. Thereafter, we propose a hybrid nonlinear distributed attitude estimation scheme enjoying global asymptot...
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作者：John, Varkey M.; Katewa, Vaibhav
作者单位：University System of Georgia; Georgia Institute of Technology; Indian Institute of Science (IISC) - Bangalore; Indian Institute of Science (IISC) - Bangalore
摘要：Opacity is a notion of privacy that is well studied in computer science and discrete-event systems. It describes an eavesdropper's inability to infer a system's secret states by observing the system's outputs. In this article, we consider opacity in linear dynamical systems and study four opacity classes-initial-state, current-state, K-step and infinite-step opacity, and show that they are fundamentally connected to two subspaces of the linear system-the weakly unobservable subspace and the we...
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作者：Liu, Yuxuan; Ye, Maojiao; Ding, Lei; Han, Qing-Long
作者单位：Nanjing University of Science & Technology; Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Swinburne University of Technology
摘要：This article studies the problem of aggregative optimization in open multiagent systems (OMAS), where agents are allowed to join and leave the system in a free manner during the decision-making process. A multiaggregator communication mechanism is proposed to facilitate information exchange among agents, in which the aggregators are responsible for collecting information from agents and exchanging it with neighboring aggregators. Based on the multiaggregator communication mechanism, a novel se...
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作者：Lee, Kooktae
作者单位：New Mexico Institute of Mining Technology
摘要：This article presents a decentralized control framework for distribution matching in multiagent systems, where agents collectively achieve a prescribed terminal spatial distribution. The problem is formulated using optimal transport (Wasserstein distance), which provides a principled measure of distributional discrepancy and serves as the basis for the control design. To avoid solving the global optimal transport problem directly, the distribution-matching objective is reformulated into a trac...
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作者：Erlandsen, M. J.; Meijer, T. J.; Heemels, W. P. M. H.; van den Eijnden, S. J. A. M.
作者单位：Eindhoven University of Technology
摘要：Analysis of continuous-time piecewise linear systems based on piecewise quadratic (PWQ) Lyapunov functions typically requires continuity of these functions. Several conditions for guaranteeing continuity of PWQ functions over state-space partitions can be found in the literature. In this technical note, we show that these continuity conditions are equivalent over so-called simplicial conic partitions. As a consequence, the choice of which condition to impose can be based solely on practical co...
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作者：Ma, Haoran; Zhao, Zhengen; Liang, Dingguo; Yang, Ying
作者单位：State Grid Corporation of China; China Electric Power Research Institute (CEPRI); Nanjing University of Aeronautics & Astronautics; Peking University
摘要：This article investigates the linear quadratic control problem with both process and measurement noise using reinforcement learning. Instead of requiring a system model or real-time controller updates, the proposed approach derives the optimal controller from offline and noise-corrupted data. A key contribution is the formulation of the Bellman optimality equation with a correction term that compensates for the bias introduced by process and measurement noise. This addresses the limitations of...
