8期

最新文章

• Exponentially Stable Adaptive Observation for Systems Parameterized by Unknown Physical Parameters AI翻译
  作者：Glushchenko, Anton; Lastochkin, Konstantin
  作者单位：V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
  摘要：The method to design exponentially stable adaptive observers is proposed for linear time-invariant systems parameterized by unknown physical parameters. Unlike existing adaptive solutions, the system state-space matrices A, B are not restricted to be represented in the observer canonical form to implement the observer. The original system description is used instead, and, consequently, the original state vector is obtained. The class of systems for which the method is applicable is identified ...
• Composite Boundary Structure-Based Tracking Control for Nonlinear State-Dependent Constrained Systems AI翻译
  作者：Li, Dapeng; Han, Hong-Gui; Qiao, Jun-Fei
  作者单位：Beijing University of Technology
  摘要：In this article, the tracking control problem is investigated for uncertain nonlinear multiple constrained systems. The constraints on tracking error and system states are considered as asymmetric, time-varying, and state-dependent case, which is more general and appropriately unsolved at the present stage. To deal with constraint problem, an adaptive constraint control method based on composite boundary structure is proposed in this article. The state-dependent mapping is introduced to ensure...
• A Tractable Truthful Profit Maximization Mechanism Design With Autonomous Agents AI翻译
  作者：Montazeri, Mina; Kebriaei, Hamed; Araabi, Babak N.
  作者单位：University of Tehran; Swiss Federal Institutes of Technology Domain; Swiss Federal Laboratories for Materials Science & Technology (EMPA); Institute for Research in Fundamental Sciences IPM
  摘要：Task allocation is a crucial process in modern systems, but it is often challenged by incomplete information about the utilities of participating agents. In this article, we propose a new profit maximization mechanism for the task allocation problem, where the task publisher seeks an optimal incentive function to maximize its own profit and simultaneously ensure the truthful announcing of the agent's private information (type) and its participation in the task, while an autonomous agent aims a...
• Resilient Control of Dynamic Flow Networks Subject to Stochastic Cyber-Physical Disruptions AI翻译
  作者：Tang, Yu; Jin, Li
  作者单位：New York University; New York University Tandon School of Engineering; Shanghai Jiao Tong University
  摘要：Modern network systems, such as transportation and communication systems, are prone to cyber-physical disruptions and thus suffer efficiency loss. This article studies network resiliency, in terms of throughput, and develops resilient control to improve throughput. We consider single-commodity networks that admit congestion propagation. We also apply a Markov process to model disruption switches. For throughput analysis, we first use insights into congestion spillback to propose novel Lyapunov...
• Distributed Fault Diagnosis in Discrete Event Systems With Transmission Delay Impairments AI翻译
  作者：Wang, Jiwei; Baldi, Simone; Yu, Wenwu; Yin, Xiang
  作者单位：Southeast University - China; Southeast University - China; Shanghai Jiao Tong University; Shanghai Jiao Tong University
  摘要：This note studies the distributed fault diagnosis problem in partially-observed discrete event systems, where the system is monitored by a group of agents to cooperatively diagnose faults within a finite number of steps. The novelty of this work is the creation of a methodology to verify when the faults can be diagnosed even in the presence of transmission delay impairments. To address this scenario, a new distributed diagnosability condition is proposed, which extends decentralized diagnosabi...
• Nonlinear Attitude Estimation Using Intermittent and Multirate Vector Measurements AI翻译
  作者：Wang, Miaomiao; Tayebi, Abdelhamid
  作者单位：Lakehead University; Western University (University of Western Ontario)
  摘要：This article considers the problem of nonlinear attitude estimation for a rigid body system using intermittent and multirate inertial vector measurements as well as continuous (high-rate) angular velocity measurements. Two types of hybrid attitude observers on Lie group SO(3) are proposed. First, we propose a hybrid attitude observer where almost global asymptotic stability is guaranteed using the notion of almost global input-to-state stability on manifolds. Thereafter, this hybrid attitude o...
• Linearly Convergent Second-Order Distributed Optimization Algorithms AI翻译
  作者：Qu, Zhihai; Li, Xiuxian; Li, Li; Hong, Yiguang
  作者单位：Tongji University; Tongji University
  摘要：This article studies distributed optimization problems whose goal is to minimize the sum of cost functions located among agents in a network, where communications are described by a connected and undirected graph. Two novel second-order methods with adapt-then-combine strategy are developed. For the algorithms, explicit convergence rates are established under strongly convex and the Lipschitz gradient assumptions. Finally, numerical examples demonstrate the efficiency of algorithms and are in ...
• Forgetting-Factor Regrets for Online Convex Optimization AI翻译
  作者：Liu, Yuhang; Zhao, Wenxiao; Yin, George
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Connecticut
  摘要：This article develops a class of novel algo-rithms for online convex optimization. The key constructis a forgetting-factor regret. It introduces weights to theobjective functions at each time instanttand allows theweights of the past objective functions decaying to zero.We establish the forgetting-factor regret bounds of clas-sical algorithms including online gradient descent algo-rithms, online gradient-free algorithms, and online Frank-Wolfe algorithms. In addition, the article introduces on...
• Optimal Control of Two-Dimensional Roesser Model: Solution Based on Reinforcement Learning AI翻译
  作者：Ye, Linwei; Zhao, Zhonggai; Liu, Fei
  作者单位：Jiangnan University; Jiangnan University
  摘要：This article addresses the infinite-region linear quadratic regulation problem of the discrete two-dimensional (2-D) Roesser model, drawing inspiration from reinforcement learning principles. It introduces a novel proof establishing that expressing the optimal control law in 2-D through state feedback is unattainable. Subsequently, a policy iteration framework is proposed to derive suboptimal state feedback, followed by an exploration of the true optimal policy through value iteration. The eff...
• Differentially Private Consensus Control for Discrete-Time Multiagent Systems: Encoding-Decoding Schemes AI翻译
  作者：Gao, Chen; Wang, Zidong; He, Xiao; Liu, Yang; Yue, Dong
  作者单位：Nanjing University of Science & Technology; Brunel University; Tsinghua University; University of Huddersfield; Nanjing University of Posts & Telecommunications
  摘要：This article is concerned with the differentially private consensus control (DPCC) problem for linear discrete-time multiagent systems (MASs) under dynamic encoding-decoding schemes (EDSs), where the agents' initial states are the sensitive data to be protected from potential eavesdroppers. The EDS is deployed on each agent to compress the data before transmission so as to better utilize the limited network bandwidth. Differential privacy, as a performance metric, is introduced to evaluate the...