IEEE Transactions on Automatic Control

最新文章

• Expectation-Maximization-Based Remote State Estimation Under State-Dependent Packet Dropouts: From Maximum A Posteriori Perspective AI翻译
  作者：Nie, Yao; Wang, Zidong; Liu, Qinyuan
  作者单位：Tongji University; Tongji University; Tongji University; Brunel University
  摘要：This article is concerned with the problem of remote state estimation for linear discrete-time systems with packet dropouts. The packet dropouts are state dependent, which occur only when the real-time target state enters specific observation-denied regions. At the remote estimator, the batch and iterative expectation-maximization (EM) algorithms are proposed for computing the optimal estimation in the maximum a posteriori (MAP) sense. It is shown that the iterative estimator exhibits a struct...
• Convergence and Sample Complexity of Policy Gradient Methods for Stabilizing Linear Systems AI翻译
  作者：Zhao, Feiran; Fu, Xingyun; You, Keyou
  作者单位：Tsinghua University; Tsinghua University
  摘要：System stabilization via policy gradient (PG) methods has drawn increasing attention in both control and machine learning communities. In this article, we study their convergence and sample complexity for stabilizing linear time-invariant systems in terms of the number of system rollouts. Our analysis is built upon a discounted linear quadratic regulator (LQR) method which alternatively updates the policy and the discount factor of the LQR problem. First, we propose an explicit rule to adaptiv...
• Iterative Thresholding and Projection Algorithms and Model-Based Deep Neural Networks for Sparse LQR Control Design AI翻译
  作者：Cho, Myung
  作者单位：California State University System; California State University Northridge
  摘要：In this article, we consider a linear-quadratic regulator (LQR) design problem for distributed control systems. For large-scale distributed systems, finding a solution might be computationally demanding due to communications among agents. To this aim, we deal with LQR minimization problem with a regularization for sparse feedback matrix, which can lead to achieve the reduction of the communication links in the distributed control systems. For this work, we introduce simple but efficient iterat...
• When Sampling Works in Data-Driven Control: Informativity for Stabilization in Continuous Time AI翻译
  作者：Eising, Jaap; Cortes, Jorge
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich; University of California System; University of California San Diego
  摘要：This article introduces a notion of data informativity for stabilization tailored to continuous-time signals and systems. We establish results comparable to those known for discrete-time systems with sampled data. We justify that additional assumptions on the properties of the noise signals are needed to understand when sampled versions of continuous-time signals are informative for stabilization, thereby introducing the notions of square Lipschitzness and total bounded variation. This allows ...
• Composite Adaptive Control for Time-Varying Systems With Dual Adaptation AI翻译
  作者：Goel, Raghavv; Roy, Sayan Basu
  作者单位：Carnegie Mellon University
  摘要：This article proposes a composite adaptive control architecture using dual adaptation scheme for dynamical systems comprising time-varying uncertain parameters. While majority of the adaptive control schemes in literature address the case of constant parameters, recent research has conceptualized improved adaptive control techniques for time-varying systems with rigorous stability proofs. The proposed work is an effort toward a similar direction, where a novel dual adaptation mechanism is intr...
• Learning With Delayed Payoffs in Population Games Using Kullback-Leibler Divergence Regularization AI翻译
  作者：Park, Shinkyu; Leonard, Naomi Ehrich
  作者单位：King Abdullah University of Science & Technology; Princeton University
  摘要：We study a multiagent decision problem in large population games. Agents from multiple populations select strategies for repeated interactions with one another. At each stage of these interactions, agents use their decision-making model to revise their strategy selections based on payoffs determined by an underlying game. Their goal is to learn the strategies that correspond to the Nash equilibrium of the game. However, when games are subject to time delays, conventional decision-making models...
• Nonlinear Adaptive PID Control for Nonlinear Systems AI翻译
  作者：[Anonymous]
  摘要：This article introduces a nonlinear adaptive proportional-integral-derivative (PID) tracking control methodology suitable for a class of multi-in-multi-out nonlinear systems. By incorporating three nonlinear modulating (trimming) functions to recalibrate the generalized tracking error, a nonlinear PID control framework is constructed that possesses several notable features. First, the user-assignable parameters in the modulating functions allow the resultant control strategy to analytically br...
• Robust Observer-Based Control Design for Stochastic Discrete-Time Quasi-Linear Systems via LMIs AI翻译
  作者：Dehnert, Robert; Rosik, Michelle; Lerch, Sabine; Rauh, Andreas; Tibken, Bernd
  作者单位：University of Wuppertal; Carl von Ossietzky Universitat Oldenburg
  摘要：This work is dedicated to a less conservative observer-based controller design method using linear matrix inequality (LMI) for discrete-time quasi-linear systems with polynomial parameter dependencies subject to stochastic noise. While robust closed loop stability of the deterministic part of the closed loop is guaranteed by a Lyapunov-based approach, the performance is improved by a separate D-R eigenvalue region for the controller and observer. In addition, input, process, and sensor noise i...
• Further on Pinning Quasi-Synchronization of Switched Directed Networks With Event-Triggered Communication AI翻译
  作者：Sang, Hong; Cui, Chongyi; Wang, Peng; Liu, Yi; Huang, Chuangxia; Cao, Jinde
  作者单位：Dalian Maritime University; Fuzhou University; Changsha University of Science & Technology; Southeast University - China; Purple Mountain Laboratories
  摘要：Sampled-data-based event-triggered (SDET) communication techniques have found extensive applications in the research of synchronization and consensus in directed networks (DNs). However, as the quantity of nodes in a network expands, existing investigations encounter difficulties in obtaining solutions within finite computation times due to computational complexity. For coping with this scenario, a novel event-triggered pinning quasi-synchronization approach is explored in this research for a ...
• Stealthy Attacks on Sampled-Data Control and Encryption-Based Countermeasures AI翻译
  作者：Shang, Jun; Li, Yuzhe; Chen, Tongwen
  作者单位：Tongji University; Tongji University; Northeastern University - China; University of Alberta
  摘要：This article investigates stealthy attacks on sampled-data control systems, where a continuous process is sampled periodically, and the resultant discrete output and control signals are transmitted through dual channels in wireless communication networks. Acknowledging the vulnerability of these transmitted data to cyber threats, we analyze two types of stealthy attacks that compromise either one or both channels. We explicitly present the necessary and sufficient conditions for the existence ...