IEEE Transactions on Automatic Control

最新文章

• Adaptive Event-Triggered Distributed Observer Under Communication Link Faults AI翻译
  作者：Su, Housheng; Zhu, Haoxuan; Zeng, Zhigang
  作者单位：Huazhong University of Science & Technology
  摘要：This article addresses the problem of event-based fully distributed state estimation for an unperturbed linear time-invariant system in the presence of communication link faults. In a networked system, each agent is capable of constructing its local observer adaptively and transmitting its estimation to neighbors through discrete communication, thereby achieving accurate estimation of the system state while saving communication resources effectively. Specifically, first, the target system stat...
• Optimal Discrete-Time Distributed Kalman Filter With Reduced Communication AI翻译
  作者：Battilotti, Stefano; Borri, Alessandro; Cacace, Filippo; d'Angelo, Massimiliano
  作者单位：Sapienza University Rome; Consiglio Nazionale delle Ricerche (CNR); Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IASI-CNR); University Campus Bio-Medico - Rome Italy
  摘要：This article proposes and analyzes a distributed filter where the consensus term is a virtual output rather than the local state estimate. This feature allows for reducing the data transmitted among nodes at each intermediate step, namely, instead of exchanging a vector of the dimension of the state, nodes exchange a vector of the dimension of the rank of the total output matrix. The main finding is that the convergence to the performance of the centralized Kalman filter and mean-square bounde...
• Error Dynamics in Affine Group Systems AI翻译
  作者：Li, Xinghan; Chen, Jianqi; Zhang, Han; Wei, Jieqiang; Wu, Junfeng
  作者单位：Zhejiang University; Nanjing University; Shanghai Jiao Tong University; Ericsson
  摘要：Error dynamics captures the evolution of state errors between two distinct trajectories that are governed by the same dynamical system rule but initiated and/or perturbed differently. It is essential to analyze the error behavior of a state observer on a matrix Lie group for precise estimation. This article concentrates on the examination of error dynamics in affine group systems when exposed to external disturbances or random noises. To this end, we first characterize linear group systems equ...
• Reinforcement Strategies in General Lotto Games AI翻译
  作者：Paarporn, Keith; Chandan, Rahul; Alizadeh, Mahnoosh; Marden, Jason R.
  作者单位：University of Colorado System; University of Colorado at Colorado Springs; University of California System; University of California Santa Barbara
  摘要：Strategic decisions are often made over multiple periods of time, wherein decisions made earlier impact a competitor's success in later stages. In this article, we study these dynamics in General Lotto games, a class of models describing the competitive allocation of resources between two opposing players. We propose a two-stage formulation where one of the players has reserved resources that can be strategically preallocated across the battlefields in the first stage of the game as reinforcem...
• Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks AI翻译
  作者：Yang, Lixin; Lv, Weijun; Xu, Yong; Tao, Jie; Quevedo, Daniel E.
  作者单位：Queensland University of Technology (QUT); Guangdong University of Technology
  摘要：The optimal transmission scheduling over packet length-dependent lossy networks is investigated. A set of sensors observe some linear time-invariant systems, and obtain their local state estimates using Kalman filters independently. The local state estimates are encoded in a data packet, which is sent to a remote estimator over packet length-dependent lossy networks, i.e., the packet arrival probability is exponentially decreasing with the packet length. The tradeoff arises between the packet ...
• Revisiting Model Reference Adaptive Control: Linear-Like Closed-Loop Behavior AI翻译
  作者：Shahab, Mohamad T.; Miller, Daniel E.
  作者单位：King Abdullah University of Science & Technology; University of Waterloo
  摘要：In this article, we examine the model reference adaptive control problem when the commonly used projection algorithm is utilized, subject to several common assumptions on the set of admissible parameters, in particular a compactness constraint as well as knowledge of the sign of the high-frequency gain. It is proven in the literature that for this setup, the closed-loop system is bounded-input bounded-state; since the closed-loop system is not linear time-invariant, this does not imply a bound...
• Robustly Learning Regions of Attraction From Fixed Data AI翻译
  作者：Tacchi, Matteo; Lian, Yingzhao; Jones, Colin N.
  作者单位：Centre National de la Recherche Scientifique (CNRS); Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Institut National Polytechnique de Grenoble; Huawei Technologies; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
  摘要：While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always required explicit knowledge of the model or a high-fidelity simulator representing the system at hand. In this work, a new data-driven Lyapunov analysis framework is proposed. Without using the model or its simulator, the proposed approach can learn a piecewise affine Lyapunov function with a finite and fixed offline d...
• New Approach to Feedback Stabilization of Linear Discrete Time-Varying Stochastic Systems AI翻译
  作者：Zhang, Tianliang; Xu, Shengyuan; Zhang, Weihai
  作者单位：Qingdao University of Technology; Nanjing University of Science & Technology; Nanjing University of Science & Technology; Shandong University of Science & Technology
  摘要：This article investigates uniform finite-time stabilization, mean square uniform stabilization, and mean square uniform asymptotic/exponential stabilization of linear discrete time-varying stochastic (LDTVS) systems. A new state transition matrix (STM) method is first used to study the feedback stabilization problem of LDTVS systems. Based on the STM method, necessary and sufficient conditions for the above concerned feedback stabilization issues are, respectively, presented in terms of STMs a...
• Navigation Functions on 3-Manifold With Boundary as a Disjoint Union of Hopf Tori AI翻译
  作者：Liu, Yueyang; Hu, Qinglei; Feng, Gang
  作者单位：Beihang University; City University of Hong Kong
  摘要：This article concerns the construction of a scalar valued analytic map, which we term as the navigation function, on three-manifold with boundary as a disjoint union of Hopf tori. Although it is well known that the existence of smooth navigation functions is guaranteed on any smooth manifold, the exact form of the navigation function on three-manifold with a disjoint union of Hopf tori as its boundary is yet to be explored. To bridge this gap, we propose a novel scalar map on the specified man...
• Finite Time Convergence Analysis of Policy Gradient Learning in Stochastic Stackelberg Games AI翻译
  作者：Das, Pranoy; Zaman, Muhammad Aneeq uz; Gupta, Vijay
  作者单位：Purdue University System; Purdue University; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：Designing and analyzing learning algorithms for general sum stochastic Stackelberg games remain challenging. We propose an inner-outer loop policy gradient-based learning algorithm for this problem and analyze its finite time convergence. Our analysis does not assume a time scale separation between the leader and the follower or a special structure of the game, such as being Markov potential or zero-sum.