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作者：Huang, Feng; Cao, Ming; Wang, Long
作者单位：Peking University; University of Groningen
摘要：In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent systems. However, the optimality of the derived policies is usually sensitive to model parameters, which are typically unknown and required to be estimated from noisy data in practice. To investigate the sensitivity of optimal policies to these uncertain parameters, we study a robust stochastic control pro...
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作者：Li, Bowen; Lu, Jianquan; Zhong, Jie; Wang, Yaqi
作者单位：Nanjing University of Posts & Telecommunications; Southeast University - China; Zhejiang Normal University; Qufu Normal University
摘要：In the conventional framework for distributed fault prognosis of discrete-event systems (DESs), it is assumed that observable events are always observed [such case is called static event observations (SEOs)]. However, the assumption may not hold in many DESs such as sensor networks. This article introduces the concept of distributed fault prognosis with dynamic event observations (DEOs), in which observable events are not always observed. Communication models and extended models are constructe...
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作者：Shahriari-Mehr, Firooz; Panahi, Ashkan
作者单位：Chalmers University of Technology; University of Gothenburg
摘要：We consider a generic decentralized constrained optimization problem over static, directed communication networks, where each agent has exclusive access to only one convex, differentiable, local objective term and one convex constraint set. For this setup, we propose a novel decentralized algorithm, called double averaging and gradient projection (DAGP). We achieve global optimality through a novel distributed tracking technique we call distributed null projection. Further, we show that DAGP c...
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作者：Sweatland, Hannah M.; Isaly, Axton; Griffis, Emily J.; Dixon, Warren E.
作者单位：State University System of Florida; University of Florida; National Academies of Sciences, Engineering & Medicine; State University System of Florida; University of Florida
摘要：Though historically regarded as unrelated concepts, passivity-based control (PBC) and control barrier functions (CBFs) are methods used to establish the safety of control systems. In this article, an optimization-based PBC technique is developed which can be combined with CBF-based methods to find a set of controllers that each render a nonlinear control system energetically passive while also adhering to state constraints necessary for safety. Borrowing concepts from literature developed for ...
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作者：Wang, Pengfei; Fridman, Emilia
作者单位：Tel Aviv University
摘要：This article addresses the sampled-data boundary stabilization of 2-D semilinear parabolic stochastic partial differential equation (PDEs) with globally Lipschitz nonlinearities. We consider Dirichlet actuation and design a finite-dimensional state-feedback controller with the shape functions in the form of eigenfunctions corresponding to the first N comparatively unstable eigenvalues. We extend the trigonometric change of variables to the 2-D case and further improve it, leading to a dynamic ...
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作者：Eldesoukey, Asmaa; Georgiou, Tryphon T.
作者单位：University of California System; University of California Irvine
摘要：The problem of reconciling a prior probability law on paths with data was introduced by Schrodinger in 1931 and 1932. It represents an early formulation of a maximum likelihood problem. This specific formulation can also be seen as the control problem to modify the law of a diffusion process so as to match specifications on marginal distributions at given times. Thereby, in recent years, this so-called Schrodinger's bridge problem has been at the center of the uncertainty control development. ...
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作者：Lupien, Jean-Luc; Shames, Iman; Lesage-Landry, Antoine
作者单位：Universite de Montreal; Polytechnique Montreal; Mila Quebec Artificial Intelligence Institute; Universite de Montreal; Australian National University
摘要：An important challenge in the online convex optimization (OCO) setting is to incorporate generalized inequalities and time-varying constraints. The inclusion of constraints in OCO widens the applicability of such algorithms to dynamic and safety-critical settings such as the online optimal power flow (OPF) problem. In this work, we propose the first projection-free OCO algorithm admitting time-varying linear constraints and convex generalized inequalities: the online interior-point method for ...
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作者：Wang, Jiwei; Baldi, Simone; van Waarde, Henk J.
作者单位：Southeast University - China; University of Groningen; Southeast University - China
摘要：The objective of model reference control is to design a controller that regulates the system's behavior so as to match a specified reference model. This article investigates necessary and sufficient conditions for model reference control from a data-driven perspective, when only a set of data generated by the system is utilized to directly accomplish the matching. Noiseless and noisy data settings are both considered. Notably, all methods we propose build on the concept of data informativity a...
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作者：Wang, Yujie; Liu, Shuai; Xu, Haotian
作者单位：Shandong University
摘要：This article studies rigid formation control of multiagent systems with nonlinear uncertainties. Unlike most existing research, ratio-of-distance (RoD) rigidity theory is introduced, and nonlinear uncertainties are thoroughly discussed. Desired formation shapes are formulated by a special class of RoD-based rigid frameworks. This article considers how to design distributed adaptive control protocols to drive all agents to acquire and maintain desired formation shapes while simultaneously maneu...
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作者：Chen, Ge; Su, Wei; Mei, Wenjun; Bullo, Francesco
作者单位：Chinese Academy of Sciences; Beijing Jiaotong University; Peking University; University of California System; University of California Santa Barbara
摘要：The Deffuant-Weisbuch (DW) model is a well-known bounded confidence opinion dynamics that has attracted wide interest. Although the heterogeneous DW model has been studied via simulations over 20 years, its convergence proof is open. Our previous paper (Chen et al., 2020) solves the problem for the case of uniform weighting factors greater than or equal to 1/2, but the general case remains unresolved. This article considers the DW model with heterogeneous confidence bounds and heterogeneous (u...
