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作者:Jing, Zonglei; Li, Xiaoqian; Ju, Peijun; Zhang, Huanshui
作者单位:Taishan University; Shandong University of Science & Technology
摘要:This article considers the hierarchical decision problems with H(infinity )constraint, where the proposed feedback Stackelberg strategy incorporates a two-level control progress. The leader first announces his action at the beginning of the game and anticipates the follower's optimal response; the follower chooses a response to optimize his/her cost function with the information of the leader's action. The optimal action of the leader, coupled with the rational response of the follower, forms ...
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作者:Lian, Bosen; Koru, Ahmet Taha; Xue, Wenqian; Lewis, Frank L.; Davoudi, Ali
作者单位:Auburn University System; Auburn University; State University System of Florida; University of Florida
摘要:This article proposes a unified framework of a distributed dynamic clustering method and a distributed control law to solve the cluster consensus problem for networked multiagent systems (MASs) with multiple leaders. Given any initial unclustered directed graph and any initial-state followers and leaders, the distributed dynamic clustering method aims to cluster each leader with at least one follower without interconnection among the clusters. This cuts some initially available edges online by...
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作者:Veldman, Daniel W. M.; Borkowski, Alexandra; Zuazua, Enrique
作者单位:University of Erlangen Nuremberg; University of London; King's College London; University of Deusto; Autonomous University of Madrid
摘要:RBM-MPC is a computationally efficient variant of model predictive control (MPC) in which the random batch method (RBM) is used to speed up the finite-horizon optimal control problems at each iteration. In this article, stability and convergence estimates are derived for RBM-MPC of unconstrained linear systems. The obtained estimates are validated in a numerical example that also shows a clear computational advantage of RBM-MPC.
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作者:Wu, Guangyu; Lindquist, Anders
作者单位:Shanghai Jiao Tong University; Shanghai Jiao Tong University
摘要:In this article, we extend our results on the univariate non-Gaussian Bayesian filter using power moments (Wu and Lindquist, 2023) to the multivariate systems, which can be either linear or nonlinear. Doing this introduces several challenging problems, for example a positive parametrization of the density surrogate, which is not only a problem of filter design but also one of the multidimensional Hamburger moment problem. We propose a parametrization of the density surrogate with the proofs to...
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作者:Guralnik, Dan P.; Stiller, Peter F.; Zegers, Federico M.; Dixon, Warren E.
作者单位:State University System of Florida; University of Florida; Texas A&M University System; Texas A&M University College Station; Johns Hopkins University; Johns Hopkins University Applied Physics Laboratory
摘要:A class of closed-form distributed controllers achieving leader-following in a multiagent system (MAS) with distance-limited communications in a compact obstructed environment is developed: given a user-provided navigation field for a single point agent as an input, the desired MAS PnP (Plug-and-Play) controller is obtained through a closed-form expression. In particular, cooperative navigation in an environment of arbitrary complexity is achievable whenever an adequate single-agent navigation...
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作者:Meijer, Tomas J.; Holicki, Tobias; van den Eijnden, Sebastiaan; Scherer, Carsten W.; Heemels, W. P. M. H. Maurice
作者单位:Eindhoven University of Technology; University of Stuttgart
摘要:The projection lemma (often also referred to as the elimination lemma) is one of the most powerful and useful tools in the context of linear matrix inequalities for system analysis and control. In its traditional formulation, the projection lemma only applies to strict inequalities, however, in many applications, we naturally encounter non-strict inequalities. As such, we present, in this article, a non-strict projection lemma that generalizes both its original strict formulation as well as an...
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作者:Salehi, Zeinab; Chen, Yijun; Ratnam, Elizabeth L.; Petersen, Ian R.; Shi, Guodong
作者单位:Australian National University; University of Sydney
摘要:In this article, we consider dynamic multiagent systems (MAS) for decentralized resource allocation. The MAS operate at a competitive equilibrium to ensure a balanced supply and demand for available resources. Example resources include energy in a microgrid and carbon permits in a carbon trading system. First, we investigate the MAS over a finite horizon, where the utility functions of agents are parameterized to incorporate individual preferences. We shape individual preferences through a set...
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作者:Wang, Yutian; Ni, Yuan-Hua; Chen, Zengqiang; Zhang, Ji-Feng
作者单位:Hong Kong Polytechnic University; Nankai University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
摘要:This article aims to build a probabilistic framework for Howard's policy iteration algorithm using the language of forward-backward stochastic differential equations (FBSDEs). As opposed to conventional formulations based on partial differential equations, our FBSDE-based formulation can be easily implemented by optimizing criteria over sample data and is, therefore, less sensitive to the state dimension. In particular, both on-policy and off-policy evaluation methods are discussed by construc...
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作者:Chen, Wu-Hua; Niu, Shuning; Zheng, Wei Xing
作者单位:Guangxi University; Western Sydney University
摘要:This article presents a new sliding-mode control (SMC) design method for linear uncertain impulsive systems, where the sliding function is designed to be linear with a time-varying projection matrix. When the time-varying projection matrix satisfies a so-called continuity condition, the sliding function is continuous along the state trajectories, which will facilitate the analysis and design of SMC laws. To obtain a tractable design algorithm on the time-varying projection matrix, a regular fo...
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作者:Giaccagli, Mattia; Astolfi, Daniele; Andrieu, Vincent; Marconi, Lorenzo
作者单位:Centre National de la Recherche Scientifique (CNRS); Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS); Universite Claude Bernard Lyon 1; University of Bologna
摘要:In this work, we address the problem of designing a control law for a system in feedforward form to be globally incrementally exponentially stable. To do that, we develop an incremental version of the so-called forwarding mod {LgV} approach. Then, we apply such a control design to the problem of compensating matched disturbances assumed to be given by the superimposition of a finite number of harmonics with unknown amplitude. For this, we propose a dynamic controller made of L linear oscillato...