IEEE Transactions on Automatic Control

最新文章

• Learning Trust Over Directed Graphs in the Presence of Adversaries AI翻译
  作者：Akgun, Orhan Eren; Dayi, Arif Kerem; Nedic, Angelia; Gil, Stephanie
  作者单位：Harvard University; Arizona State University; Arizona State University-Tempe
  摘要：We investigate the problem of learning the trustworthiness of agents in a directed graph, where agents receive stochastic trust information about their in-neighbors. We consider a setting where an unknown subset of agents may be malicious and disseminate misinformation about the trustworthiness of other agents. We present a learning protocol where agents determine their trusted neighborhoods based on the stochastic trust information they receive, and leverage the opinions of their trusted neig...
• Delay-Adaptive Finite-Dimensional Control of Systems With Unknown Short Input Delay AI翻译
  作者：Ramirez, Adrian
  作者单位：Instituto Potosino Investigacion Cientifica y Tecnologica
  摘要：Delay-adaptive predictor-feedback controllers are effective for handling unknown input delays of arbitrary length. However, when the delay is much shorter than the system's time scales, the predictor's infinite-dimensional part becomes negligible, and a simpler finite-dimensional controller may offer a more practical solution. In this note, we extend the applicability of such finite-dimensional controller by relaxing the conventional short-delay assumption, allowing the delay to approach the s...
• Optimal Adaptive Control of Linear Stochastic Systems With Quadratic Cost Function AI翻译
  作者：Liu, Nian; Zhao, Cheng; Tan, Shaolin; Lu, Jinhu
  作者单位：Zhongguancun Laboratory; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Beihang University
  摘要：This article focuses on the adaptive linear quadratic Gaussian control problem, where both the state matrix A and the control gain matrix B are unknown. We only assume that (A, B) is stabilizable and (A, Q(1/2)) is detectable, where Q is the weighting matrix of the state in the quadratic cost function. This significantly weakens the classic assumptions used in the literature. To design an optimal adaptive control, a weighted least squares algorithm is modified by using random regularization me...
• Stabilization of Infinite-Dimensional Systems Under Quantization and Packet Loss AI翻译
  作者：Wakaiki, Masashi
  作者单位：Kobe University
  摘要：We study the problem of stabilizing infinite-dimensional systems with input and output quantization. The closed-loop system we consider is subject to packet loss, whose average duration is assumed to be bounded. Given a bound on the initial state, we propose a design method for dynamic quantizers with zoom parameters. We show that the closed-loop state starting in a given region exponentially converges to zero if bounds on quantization errors and packet-loss intervals satisfy suitable conditio...
• Dissipativity-Based Secure Output Regulation in Networked Switched Systems With Long-Duration Zero-Value Attacks AI翻译
  作者：Li, Lili; Guo, Qingjun; Fu, Jun; Rong, Di
  作者单位：Dalian Maritime University; Northeastern University - China
  摘要：The secure output regulation (OR) problem is formulated for networked switched systems (SSs) with severely unstable dynamics that are subjected to long-duration zero-value (LDZV) attacks. For these systems, well-defined switching rules enable the severely unstable dynamics to achieve stability and OR by allowing each subsystem to dwell for a short period. However, during LDZV attacks, the system's external variables (inputs and outputs) are set to zero for a long period. Given the presence of ...
• Invariance and Contraction in Geometrically Periodic Systems With Differential Inclusions AI翻译
  作者：Qian, Chen; Fang, Yongchun
  作者单位：Nankai University; Nankai University
  摘要：The objective of this article is to derive the essential invariance and contraction properties for the geometric periodic systems, which can be formulated as a category of differential inclusions, and primarily rendered in the phase coordinate, or the cycle coordinate. First, we introduce the geometric averaging method for this category of systems, and also analyze the accuracy of its averaging approximation. Specifically, we delve into the details of the geometrically periodic system through ...
• Precision Tracking for Nonminimum Phase LPTV Systems via a Lifted Time Stable Inversion AI翻译
  作者：Zhu, Shaoqin; Ji, Xiaoqiang; Longman, Richard W.; Xu, Yangsheng
  作者单位：The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence & Robotics for Society; Columbia University
  摘要：Feedforward control demonstrates the capacity of precision tracking in applications, typically necessitating the solution of the inverse model. For nonminimum phase systems with unstable internal dynamics, the inverse model yields unbounded inputs, impeding the implementation of the feedforward control method. Existing stable inversion leverages noncausal input and initial state transition to achieve exact tracking with an infinite time preview of the output. However, a limited preview window ...
• Distributed and Differentiable Vector Field Control Within a Curved Virtual Tube for a Robotic Swarm Under Field-of-View Constraints AI翻译
  作者：Gao, Yan; Bai, Chenggang; Quan, Quan
  作者单位：Beihang University; Tiangong University; Tianmushan Lab
  摘要：To guide a robotic swarm in a cluttered environment, a curved virtual tube is proposed in our previous work. In this article, the swarm controller design is generalized to the condition that all robots have field-of-view (FOV) constraints. Two distributed vector field controllers are proposed for different objectives. One controller focuses on the robots' safety in theory, while the other focuses on the feasibility in real practice at the cost of sacrificing safety slightly. Different from exi...
• A Kalman and Fading Memory Cofilter for Uncertain Systems Based on Self-Perception Mechanism AI翻译
  作者：Luan, Xiaoli; Xue, Wei; Zhao, Shunyi; Liu, Fei
  作者单位：Jiangnan University
  摘要：A cofilter by collaboration of Kalman filter and fading memory filter improves the filter estimation performance for uncertain systems. Specifically, the influence function is utilized to quantify the influence of uncertainty on estimation performance, forming the self-perception mechanism. Then, the cofilter takes the Kalman filter as the robust lower bound and the fading memory filter as the robust upper bound and adjusts the robust parameters based on the self-perception mechanism to form a...
• A Large-Population Stochastic Differential Game With Terminal State Constraint and Common Noise AI翻译
  作者：Huang, Pengyan; Wang, Guangchen; Wang, Shujun
  作者单位：Shandong University; Shandong University of Finance & Economics; Shandong University
  摘要：In this article, we focus on a type of linear-quadratic (LQ) mean-field game of stochastic differential equations with a terminal state constraint and common noise, where a coupling structure enters the state equation, cost functional, and constraint condition. First, by virtue of the mean-field method, we introduce an auxiliary problem of the original game, which is a constrained optimal control problem. Second, by virtue of the Lagrangian multiplier method and stochastic maximum principle, a...