5期

最新文章

• Computationally Efficient Lie Algebraic Particle Filters for State Estimation AI翻译
  作者：Jin, Yuqiang; Zhang, Wen-An; Lu, Xinyu; Chen, Bo; Yu, Li
  作者单位：Zhejiang University of Technology
  摘要：A set of particle filters on matrix Lie groups is presented for state estimation, where the particles live in Lie algebra. The dynamical equations in the Lie algebraic form and the log-linear property on the invariant error are introduced separately, to design two efficient particle time update schemes. All operations during the update are transferred to a vector space and at least only a single mean particle is propagated, the remaining particles are calculated by the error update on Lie alge...
• Teaching Coordination to Selfish Learning Agents in Resource-Constrained Partially Observable Markov Games AI翻译
  作者：Tsaousoglou, Georgios
  作者单位：Technical University of Denmark
  摘要：Of increasing relevance to engineering systems are problems that include online resource allocation to agents that feature adaptation and learning capabilities. This article considers the case where a coordinator gets to design a resource allocation mechanism (i.e., a bidding-allocation-rewards protocol) to efficiently allocate a resource to selfish agents that try to gain access by learning to communicate strategically. Toward aligning the agents' incentives with the social objective, a criti...
• Stabilization of Hidden Markov Jump Singular Systems With Limit Mode Switching Information AI翻译
  作者：Wang, Bao; Zhu, Quanxin; Li, Subei
  作者单位：Xuzhou University of Technology; Hunan Normal University
  摘要：This article studies the stability analysis and stabilization problems for a class of discrete-time hidden Markov jump singular systems with partly known transition probabilities and emission probabilities. The novel sufficient conditions with original coefficient matrices are proposed to guarantee the regularity, causality, and stochastic stability of the considered systems. Based on such conditions, the linear matrix inequalities-based asynchronous controller design method for the resulting ...
• Sample-Efficient Reinforcement Learning With Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration AI翻译
  作者：Kantaros, Yiannis; Wang, Jun
  作者单位：Washington University (WUSTL)
  摘要：In this article, we address the problem of learning optimal control policies for systems with uncertain dynamics and high-level control objectives specified as linear temporal logic (LTL) formulas. Uncertainty is considered in the workspace structure and the outcomes of control decisions giving rise to an unknown Markov decision process (MDP). Existing reinforcement learning (RL) algorithms for LTL tasks typically rely on exploring a product MDP state-space uniformly (using e.g., an $\epsilon$...
• Minimum Initial Marking Estimation in Labeled Petri Nets Using Minimum Token Number Prediction AI翻译
  作者：Yue, Hao; Xu, Yakun; Hu, Hesuan; Wu, Weimin; Li, Lingxi
  作者单位：China University of Petroleum; Nanyang Technological University; Xidian University; Zhejiang University; Zhejiang University; Purdue University System; Purdue University; Purdue University in Indianapolis
  摘要：This article proposes an approach to addressing the problem of minimum initial marking (MuIM) estimation for labeled Petri nets (LPNs). We introduce the important concept of a label synthesis net for LPNs and develop a method for predicting the minimum number of tokens. By using this prediction method, we develop an algorithm that has polynomial complexity in the length of the observed label sequence for estimating MuIMs. An illustrative example is provided to show the effectiveness and effici...
• Closed-Loop Interpolation by Moment Matching for Linear and Nonlinear Systems AI翻译
  作者：Moreschini, Alessio; Astolfi, Alessandro
  作者单位：Imperial College London; University of Rome Tor Vergata
  摘要：The relaxation of strong stability conditions on the system to be interpolated is one of the open problems in interconnection-based interpolation by moment matching. To address this issue, we revisit the interconnection-based notion of moment by introducing an output-based signal generator, called generalized signal generator. This generator, which models the desired interpolation points, is designed to drive the state of the system to the invariant manifold defining the moments. This characte...
• Quantum Coherent Feedback Control of an N-Level Atom With Multiple Excitations AI翻译
  作者：Ding, Haijin; Zhang, Guofeng
  作者单位：Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS); Hong Kong Polytechnic University; Hong Kong Polytechnic University
  摘要：The purpose of this article is to study the dynamics of a quantum coherent feedback network, where an $N$-level atom is coupled with a cavity and the cavity is also coupled with a single or multiple parallel waveguides. When the atom is initialized at the highest energy level, it can emit multiple photons into the cavity, and the photons can be further transmitted to the waveguides and reinteract with the cavity quantum electrodynamics (cavity-QED) system. The transmission of photons in the wa...
• Locally Differentially Private Gradient Tracking for Distributed Online Learning Over Directed Graphs AI翻译
  作者：Chen, Ziqin; Wang, Yongqiang
  作者单位：Clemson University
  摘要：Distributed online learning has been proven extremely effective in solving large-scale machine learning problems over streaming data. However, information sharing between learners in distributed learning also raises concerns about the potential leakage of individual learners' sensitive data. To mitigate this risk, differential privacy, which is widely regarded as the gold standard for privacy protection, has been widely employed in many existing results on distributed online learning. However,...
• Bounded Extremum Seeking for Static Quadratic Maps Using Nonlinear Transformation and Lyapunov Method AI翻译
  作者：Mazenc, Frederic; Malisoff, Michael; Fridman, Emilia
  作者单位：Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay; Louisiana State University System; Louisiana State University; Tel Aviv University
  摘要：We present a new practical stability analysis for a bounded gradient based extremum seeking problem for two variable static quadratic maps that contain a time-varying additive measurement uncertainty. Instead of using earlier averaging-based approaches, we introduce a new state transformation, a time-varying quadratic Lyapunov function, and a comparison principle to obtain essentially less conservative bounds on the dither frequency and on the ultimate bound of the estimation error compared wi...
• Risk-Constrained LQR Design Framework for Non-Gaussian Interconnected Systems Defined Over a Digraph AI翻译
  作者：Wang, Yan; Lv, Mingsong; Wu, Zhiying; Xu, Yunjian; Guan, Nan; Su, Rong
  作者单位：Harbin Institute of Technology; Hong Kong Polytechnic University; Chinese Academy of Sciences; Chinese University of Hong Kong; The Chinese University of Hong Kong, Shenzhen; CUHK Shenzhen Research Institute; City University of Hong Kong; Nanyang Technological University
  摘要：This article studies the risk-constrained linear-quadratic regulation (Rc-LQR) for a class of interconnected systems (ISs) with non-Gaussian noise. The IS is of a weakly connected topology. The standard linear-quadratic regulation (LQR) controller is optimal in expectation for the quadratic cost and, thus, is called risk-neutral LQR (Rn-LQR) controller. However, the Rn-LQR system may suffer from low-probability yet statistically significant/risky events. The Rc-LQR controller can well trade be...