IEEE Transactions on Automatic Control

最新文章

• Compressed Gradient Tracking Algorithm for Distributed Aggregative Optimization AI翻译
  作者：Chen, Liyuan; Wen, Guanghui; Liu, Hongzhe; Yu, Wenwu; Cao, Jinde
  作者单位：Southeast University - China; Southeast University - China; Ahlia University Bahrain
  摘要：This article is devoted to addressing the distributed aggregative optimization (DAO) problem via compressed gradient tracking algorithms, where the cost function of each agent relies on the aggregation of other agents' decisions as well as its own decision. To this end, a new kind of the distributed aggregative gradient tracking algorithm with compression communication is developed based on the gradient tracking algorithm and the technique of communication compression. Under the scenario with ...
• Backstepping Control of a Hyperbolic PDE System With Zero Characteristic Speed States AI翻译
  作者：de Andrade, Gustavo Artur; Vazquez, Rafael; Karafyllis, Iasson; Krstic, Miroslav
  作者单位：Universidade Federal de Santa Catarina (UFSC); University of Sevilla; National Technical University of Athens; University of California System; University of California San Diego
  摘要：While for coupled hyperbolic partial differential equations (PDEs) of first order, there now exist numerous PDE backstepping designs, systems with zero speed, i.e., without convection but involving infinite-dimensional ordinary differential equations (ODEs), which arise in many applications, from environmental engineering to lasers to manufacturing, have received virtually no attention. In this article, we introduce single-input boundary feedback designs for a linear 1-D hyperbolic system with...
• A Framework on Fully Distributed State Estimation and Cooperative Stabilization of LTI Plants AI翻译
  作者：Duan, Peihu; Lv, Yuezu; Wen, Guanghui; Ogorzalek, Maciej
  作者单位：Royal Institute of Technology; Beijing Institute of Technology; Southeast University - China; Jagiellonian University
  摘要：How to realize high-level autonomy of individuals is one of the key technical issues to promote swarm intelligence of multiagent (node) systems with collective tasks, while the fully distributed design is a potential way to achieve this goal. This article works on the fully distributed state estimation and cooperative stabilization problem of linear time-invariant (LTI) plants with multiple nodes communicating over general directed graphs, and is aimed to provide a fully distributed framework ...
• Event Concealment and Concealability Enforcement in Discrete Event Systems Under Partial Observation AI翻译
  作者：Duan, Wei; Hadjicostis, Christoforos N.; Li, Zhiwu
  作者单位：Xidian University; University of Cyprus; Macau University of Science & Technology
  摘要：In this article, we investigate event concealment and concealability enforcement in discrete event systems modeled as nondeterministic finite automata under partial observation. Given a subset of secret events in a given system, concealability holds if the occurrences of all secret events remain hidden to a curious observer (an eavesdropper). When concealability of a system does not hold, we analyze how a defensive function, placed at the interface of the system with the eavesdropper, can be u...
• Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems AI翻译
  作者：Alemzadeh, Siavash; Talebi, Shahriar; Mesbahi, Mehran
  作者单位：University of Washington; University of Washington Seattle; Microsoft; Harvard University
  摘要：Control of networked systems, comprised of interacting agents, is often achieved through modeling the underlying interactions. Constructing accurate models of such interactions-in the meantime-can become prohibitive in applications. Data-driven control methods avoid such complications by directly synthesizing a controller from the observed data. In this article, we propose an algorithm referred to as data-driven structured policy iteration (D2SPI), for synthesizing an efficient feedback mechan...
• Adaptive Kalman Filtering Based on Model Parameter Ratios AI翻译
  作者：Ge, Quanbo; Li, Yunyu; Wang, Yuanliang; Hu, Xiaoming; Li, Hong; Sun, Changyin
  作者单位：Nanjing University of Information Science & Technology; Hangzhou Dianzi University; Shanghai Maritime University; Royal Institute of Technology; Southeast University - China
  摘要：This article studies an adaptive Kalman filter method based on model parameter ratio. The model parameter ratio theory is proposed for the first time, and the adaptive estimation problem is transformed into a constrained optimization problem. Compared with the existing Sage-Husa adaptive filtering algorithm, it can be seen that the application of this theory can more accurately estimate the process noise covariance and measurement noise covariance matrix, so that the algorithm has better filte...
• Incremental Versus Differential Approaches to Exponential Stability and Passivity AI翻译
  作者：Kawano, Yu; Besselink, Bart
  作者单位：Hiroshima University; University of Groningen
  摘要：There are two main Lyapunov approaches to incremental stability analysis. One is to use incremental Lyapunov functions directly, and the other is based on so-called Finsler-Lyapunov functions via contraction analysis. A system is incrementally exponentially stable if it admits either an incremental or Finsler-Lyapunov function, and the converse is also true when the Jacobian of the drift vector field satisfies a boundedness assumption. However, the direct relation between these Lyapunov functi...
• Solutions for Multiple-Defender Single-Attacker Convex Target Guarding Games: Verification via Parametric Optimization AI翻译
  作者：Lee, Yoonjae; Bakolas, Efstathios
  作者单位：University of Texas System; University of Texas Austin
  摘要：A zero-sum differential game is considered in which a team of defenders is tasked with cooperatively capturing a single attacker who seeks to breach a convex region (or target). We show that the equilibrium strategies of the agents can be computed via a convex program, which remains tractable even in high-dimensional cases as opposed to the direct solution of the Hamilton-Jacobi-Isaacs (HJI) equation. To that end, we mainly attempt to prove the validity of a candidate for the value of the game...
• Open-Loop H2/H∞ Control for Discrete-Time Mean-Field Stochastic Systems AI翻译
  作者：Ma, Hongji; Mou, Chenchen; Ho, Daniel W. C.
  作者单位：Shandong University of Science & Technology; City University of Hong Kong
  摘要：This article is concerned with the finite-horizon H-2/H-infinity control problem about discrete-time mean-field linear stochastic systems with (x, u, v) -multiplicative noises. We first present a mean-field stochastic bounded real lemma (MF-SBRL), which gives a necessary and sufficient condition for the linear perturbation operator of mean-field systems to gain an H-infinity norm less than a prescribed disturbance attenuation level. Through a mean-field forward-backward stochastic difference e...
• Revisiting the Normal Form of Input-Output Linearization AI翻译
  作者：Maggiore, Manfredi
  作者单位：University of Toronto
  摘要：This article revisits the normal form arising in the context of input-output feedback linearization for nonlinear control systems possessing well-defined relative degree. The objective is to investigate the validity of the normal form in a neighborhood of the zero dynamics manifold, as opposed to a neighborhood of a point on the manifold. The two main results of the article are necessary and sufficient conditions under which the normal form exists in some neighborhood of the zero dynamics mani...