7期

最新文章

• Consensus in Concatenated Opinion Dynamics With Stubborn Agents AI翻译
  作者：Wang, Lingfei; Bernardo, Carmela; Hong, Yiguang; Vasca, Francesco; Shi, Guodong; Altafini, Claudio
  作者单位：Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Sannio; Linkoping University; Tongji University; University of Sydney
  摘要：This article investigates a two-timescale opinion dynamics model, named the concatenated Friedkin-Johnsen (FJ) model, which describes the evolution of the opinions of a group of agents over a sequence of discussion events. The topology of the underlying graph changes with the event, in the sense that the agents can participate or less to an event, and the agents are stubborn, with stubbornness that can vary from one event to the other. Concatenation refers to the fact that the final opinions o...
• Regional Eigenvalue Assignment in Cooperative Linear Output Regulation AI翻译
  作者：Koru, Ahmet Taha; Sarsilmaz, Selahattin Burak; Yucelen, Tansel; Muse, Jonathan A.; Lewis, Frank L.; Acikmese, Behcet
  作者单位：University of Texas System; University of Texas Arlington; Utah System of Higher Education; Utah State University; State University System of Florida; University of South Florida; University of Washington; University of Washington Seattle
  摘要：The contribution of this article is a regional eigenvalue assignment method for cooperative output regulation of heterogeneous linear multiagent systems with an internal model-based distributed dynamic state feedback control law. The proposed method offers an agent-wise local approach to synthesize distributed control gains while assigning, for example, the minimal decay rate and the minimal damping ratio of the overall closed-loop system as desired. Numerical examples demonstrate the efficacy...
• Embedded Point Iteration Based Recursive Algorithm for Online Identification of Nonlinear Regression Models AI翻译
  作者：Chen, Guang-Yong; Gan, Min; Chen, Jing; Chen, Long
  作者单位：Fuzhou University; Qingdao University; Jiangnan University; University of Macau
  摘要：This article presents a novel online identification algorithm for nonlinear regression models. The online identification problem is challenging due to the presence of nonlinear structure in the models. Previous works usually ignore the special structure of nonlinear regression models, in which the parameters can be partitioned into a linear part and a nonlinear part. In this article, we develop an efficient recursive algorithm for nonlinear regression models based on analyzing the equivalent f...
• Grid-Forming Hybrid Angle Control and Almost Global Stability of the DC-AC Power Converter AI翻译
  作者：Tayyebi, Ali; Anta, Adolfo; Dorfler, Florian
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich; Austrian Institute of Technology (AIT)
  摘要：This article introduces a new grid-forming control for a grid-connected dc-ac power converter, termed hybrid angle control (HAC) that combines the dc-based matching control with a novel nonlinear angle feedback reminiscent of (though not identical to) classic droop control. The synthesis of HAC is inspired by the complementary benefits of the dc-based matching and ac-based grid-forming controls as well as ideas from direct angle control and nonlinear damping assignment. The proposed HAC is app...
• Fully Distributed Event-Triggered Cooperative Output Regulation of Multiagent Systems Under Jointly Connected Digraphs AI翻译
  作者：Hao, Yahui; Zhang, Jin; Liu, Lu
  作者单位：City University of Hong Kong
  摘要：This article addresses the cooperative output regulation problem of heterogeneous linear multiagent systems with jointly connected digraphs under the assumption that the exosystem matrix is only known by the neighbors of the exosystem. First, a novel event-based adaptive distributed observer with time-dependent power functions as the event-triggering threshold is proposed to estimate the exosystem matrix and the exogenous signal simultaneously. A new analytical method based on the weighted mea...
• Improving the Transient Times for Distributed Stochastic Gradient Methods AI翻译
  作者：Huang, Kun; Pu, Shi
  作者单位：The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen; The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence & Robotics for Society
  摘要：We consider the distributed optimization problem where n agents, each possessing a local cost function, collaboratively minimize the average of the n cost functions over a connected network. Assuming stochastic gradient information is available, we study a distributed stochastic gradient algorithm, called exact diffusion with adaptive stepsizes (EDAS) adapted from the Exact Diffusion method (Yuan et al., 2019) and NIDS (Li et al., 2019) and perform a nonasymptotic convergence analysis. We not ...
• Solving Nonlinear Filtering Problems Using a Tensor Train Decomposition Method AI翻译
  作者：Li, Sijing; Wang, Zhongjian; Yau, Stephen S. -T.; Zhang, Zhiwen
  作者单位：University of Hong Kong; University of Chicago; Tsinghua University
  摘要：In this article, we propose an efficient numerical method to solve nonlinear filtering (NLF) problems. Specifically, we use the tensor train decomposition method to solve the forward Kolmogorov equation (FKE) arising from the NLF problem. Our method consists of offline and online stages. In the offline stage, we use the finite difference method to discretize the partial differential operators involved in the FKE and extract low-dimensional structures in the solution tensor using the tensor tra...
• Toward Event-Based State Estimation for Neuromorphic Event Cameras AI翻译
  作者：Liu, Xinhui; Cheng, Meiqi; Shi, Dawei; Shi, Ling
  作者单位：Beijing Institute of Technology; Hong Kong University of Science & Technology
  摘要：In this article, a dynamic information extraction problem for neuromorphic event cameras is investigated from a state estimation perspective. The ego-motion pose estimation task of an event camera is formulated as a state estimation problem for a finite-state hidden Markov model subject to a special event-triggering mechanism. We model the threshold mismatch and the bandwidth limit of the event-camera output generalization process as a stochastic event-triggering condition equipped with a stat...
• Finite Time Stability and Optimal Finite Time Stabilization for Discrete-Time Stochastic Dynamical Systems AI翻译
  作者：Lee, Junsoo; Haddad, Wassim M. M.; Lanchares, Manuel
  作者单位：University of South Carolina System; University of South Carolina Columbia; University System of Georgia; Georgia Institute of Technology
  摘要：In this article, we address finite time stability in probability of discrete-time stochastic dynamical systems. Specifically, a stochastic comparison lemma is constructed along with a scalar system involving a generalized deadzone function to establish almost sure convergence and finite time stability in probability. This result is used to provide Lyapunov theorems for finite time stability in probability for Ito-type stationary nonlinear stochastic difference equations involving Lyapunov diff...
• Asymptotical Stabilization for Probabilistic Boolean Control Networks Under Operators and Inputs Constraints AI翻译
  作者：Zhong, Jie; Pan, Qinyao; Xu, Wenying; Liu, Yang
  作者单位：Zhejiang Normal University; Southeast University - China
  摘要：In this article, asymptotical stabilization of probabilistic Boolean control networks with a switching signal being an independent identically distributed process has been systematically studied. Here, the binary operators connecting logical functions of state nodes and pinning controllers are constrained to certain sets. By establishing matrix representation of operators and input constraints, several criteria for asymptotical stabilization have been established. The proposed asymptotical sta...