IEEE Transactions on Automatic Control

最新文章

• A Family of Distributed Momentum Methods Over Directed Graphs With Linear Convergence AI翻译
  作者：Gao, Juan; Liu, Xinwei; Dai, Yu-Hong; Huang, Yakui; Yang, Peng
  作者单位：Hebei University of Technology; Hebei University of Technology; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Hebei University of Technology
  摘要：We consider the distributed optimization to minimize a sum of smooth and strongly convex local objective functions over directed graphs. Using row-and column-stochastic weights, we propose a family of distributed momentum methods. It is a para-metric distributed momentum (PDM) method, for which different values of parameter can lead to different distributed momentum methods. PDM includes the distributed heavy-ball method (ABm) and the distributed Nesterov gradient method (ABN) as its special c...
• Extended Balancing of Continuous LTI Systems: A Structure-Preserving Approach AI翻译
  作者：Borja, Pablo; Scherpen, Jacquelien M. A.; Fujimoto, Kenji
  作者单位：Delft University of Technology; University of Groningen; Kyoto University
  摘要：In this article, we treat extended balancing for continuous-time linear time-invariant systems. We take a dissipativity perspective, thus, resulting in a characterization in terms of linear matrix inequalities. This perspective is useful for determining a priori error bounds. In addition, we address the problem of structure-preserving model reduction of the subclass of port-Hamiltonian systems. We establish sufficient conditions to ensure that the reduced-order model preserves a port-Hamiltoni...
• Distributed Unknown Input Observer AI翻译
  作者：Cao, Ganghui; Wang, Jinzhi
  作者单位：Peking University
  摘要：In this article, a distributed observer is designed for the state reconstruction of continuous-time linear dynamical systems with unknown inputs. Specifically, a group of sensor nodes are employed to measure the output of such a system. Due to its limited measurement, a single node may fail to reconstruct the full state. By acting on a consensus cooperative strategy, however, each node can produce an accurate state estimate, regardless of the specific input signal. The attractive performance o...
• Distributed Optimal Consensus Control of Multiagent Systems Involving State and Control Dependent Multiplicative Noise AI翻译
  作者：Jin, Nana; Xu, Juanjuan; Zhang, Huanshui
  作者单位：University of Jinan; Shandong University; Shandong University of Science & Technology
  摘要：This article aims to solve the multiobjective optimization control problem by investigating the consensus problem of multiagent simultaneous optimization with state and control dependent multiplicative noise. The main contributions of this work are two-fold. First, the optimal consensus control problem is solved by designing the free item of an optimal controller, and the coefficient of the feedback gain is obtained based on analyzing a parameterized generalized algebraic Riccati equation. Sec...
• Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes AI翻译
  作者：Leong, Alex S.; Quevedo, Daniel E.; Liu, Wanchun
  作者单位：Defence Science & Technology; Queensland University of Technology (QUT); University of Sydney
  摘要：In this article, we consider the problem of remote state estimation of a Gauss-Markov process, where a sensor can, at each discrete time instant, transmit on one out of M different communication channels. A key difficulty of the situation at hand is that the channel statistics are unknown. We study the case where both learning of the channel reception probabilities and state estimation are carried out simultaneously. Methods for choosing the channels based on techniques for multi-armed bandits...
• The Gradient Tracking Is a Distributed Integral Action AI翻译
  作者：Notarnicola, Ivano; Bin, Michelangelo; Marconi, Lorenzo; Notarstefano, Giuseppe
  作者单位：University of Bologna
  摘要：We revisit the recent gradient tracking algorithm for distributed consensus optimization from a control theoretic viewpoint. We show that the algorithm can be constructed by solving a servomechanism control problem stemming from the distributed implementation of a centralized gradient method. Moreover, we show that, if expressed in proper coordinates, the gradient tracking embeds an integral action fed by a signal related to the consensus error. Finally, we provide an alternative convergence a...
• Distributed Moving-Horizon Estimation With Event-Triggered Communication Over Sensor Networks AI翻译
  作者：Yu, Dongdong; Xia, Yuanqing; Zhai, Di-Hua
  作者单位：Beijing Institute of Technology
  摘要：This article is concerned with the distributed moving-horizon estimation problem for linear discrete-time systems over wireless sensor networks. To reduce the communication burden, an event-triggered communication mechanism is proposed to govern the transmission of one-step predictions and measurements in each node. Under such a mechanism, a novel event-triggered distributed moving-horizon estimator is designed to deal with the state estimation problem subject to noise and state constraints. E...
• Data-Driven Self-Triggered Control via Trajectory Prediction AI翻译
  作者：Liu, Wenjie; Sun, Jian; Wang, Gang; Bullo, Francesco; Chen, Jie
  作者单位：Beijing Institute of Technology; Beijing Institute of Technology; Beijing Institute of Technology; University of California System; University of California Santa Barbara; University of California System; University of California Santa Barbara; Tongji University
  摘要：Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity. However, a majority of existing self-triggered control methods require explicit system models. An end-to-end control paradigm known as data-driven control designs control laws directly from data and offers a competing alternative to the routine system identification-then-control strategy. In this context, the present article pu...
• Asynchronous Platoon Control for Connected Vehicles With Intermittent and Delayed Information Transmission AI翻译
  作者：Zhan, Jingyuan; Zhang, Liguo; Chen, Yangzhou
  作者单位：Beijing University of Technology
  摘要：This technical note investigates the asynchronous platoon control problem for connected vehicles with intermittent and delayed information transmission under dynamically changing communication topologies. An asynchronous consensus-based protocol is proposed for each vehicle based on the state information of its neighbors at discrete times with communication delays, in which the asynchrony means that each agent updates its dynamics at discrete time instants determined by its own clock. The upda...
• Controllability Gramian for Stochastic Game-Based Systems AI翻译
  作者：Liu, Feng; Yu, Zhiyong
  作者单位：Beijing Jiaotong University; Shandong University
  摘要：This article is concerned with the exact controllability of a linear stochastic game-based control system (SGBCS) with time-variant random coefficients. Some necessary conditions and sufficient conditions for the exact terminal controllability of the SGBCS are obtained. Then, it is proved that the exact controllability of the SGBCS, the nonsingularity of a generalized version of the Gramian matrix, the validity of an observability inequality for the adjoint equation, and the unique solvability...