IEEE Transactions on Automatic Control

最新文章

• On the Approximation of Moments for Nonlinear Systems AI翻译
  作者：Faedo, Nicolas; Scarciotti, Giordano; Astolfi, Alessandro; Ringwood, John, V
  作者单位：Maynooth University; Imperial College London; University of Rome Tor Vergata
  摘要：Model reduction by moment-matching relies upon the availability of the so-called moment. If the system is nonlinear, the computation of moments depends on an underlying specific invariance equation, which can be difficult or impossible to solve. This article presents four technical contributions related to the theory of moment matching: first, we identify a connection between moment-based theory and weighted residual methods. Second, we exploit this relation to provide an approximation techniq...
• Path to Stochastic Stability: Comparative Analysis of Stochastic Learning Dynamics in Games AI翻译
  作者：Jaleel, Hassan; Shamma, Jeff S.
  作者单位：Lahore University of Management Sciences; King Abdullah University of Science & Technology
  摘要：Stochastic stability is an important solution concept for stochastic learning dynamics in games. However, a limitation of this solution concept is its inability to distinguish between different learning rules that lead to the same steady-state behavior. We identify this limitation and develop a framework for the comparative analysis of the transient behavior of stochastic learning dynamics. We present the framework in the context of two learning dynamics: Log-linear learning (LLL) and Metropol...
• Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking AI翻译
  作者：Tatarenko, Tatiana; Shi, Wei; Nedic, Angelia
  作者单位：Arizona State University; Arizona State University-Downtown Phoenix; Moscow Institute of Physics & Technology
  摘要：We study distributed algorithms for seeking a Nash equilibrium in a class of convex networked Nash games with strongly monotone mappings. Each player has access to her own smooth local cost function and can communicate to her neighbors in some undirected graph. To deal with fast distributed learning of Nash equilibria under such settings, we introduce a so called augmented game mapping and provide conditions under which this mapping is strongly monotone. We consider a distributed gradient play...
• Adaptive Fixed-Lag Smoothing Algorithms Based on the Variational Bayesian Method AI翻译
  作者：Xu, Hong; Duan, Keqing; Yuan, Huadong; Xie, Wenchong; Wang, Yongliang
  作者单位：Wuhan Naval University of Engineering; Sun Yat Sen University; Air Force Early Warning Academy
  摘要：In this article, we address the adaptive fixed-lag smoothing (FLS) problem in the presence of unknown and slowly time-varying measurement noise covariance matrix (MNCM). Based on the variational Bayesian (VB) method, we use the VB inference to jointly estimate the system state and the unknown MNCM. According to different implementation methods, we propose two adaptive FLS algorithms: One is based on the augmented state-space models and another one is based on a sliding Rauch-Tung-Striebel smoo...
• Dynamic Output Feedback Control of Discrete-Time Switched Affine Systems AI翻译
  作者：Egidio, Lucas N.; Deaecto, Grace S.
  作者单位：Universidade Estadual de Campinas; Linkoping University
  摘要：This article deals with the codesign of an output-dependent switching function and a full-order affine filter for discrete-time switched affine systems. More specifically, from the measured output, the switched filter has the role of providing essential information for the switching function, which must assure global practical stability of a desired equilibrium point. The design conditions are based on a general quadratic Lyapunov function and are expressed in terms of linear matrix inequaliti...
• Probably Approximately Correct Nash Equilibrium Learning AI翻译
  作者：Fele, Filiberto; Margellos, Kostas
  作者单位：University of Oxford
  摘要：We consider a multiagent noncooperative game with agents' objective functions being affected by uncertainty. Following a data driven paradigm, we represent uncertainty by means of scenarios and seek a robust Nash equilibrium solution. We treat the Nash equilibrium computation problem within the realm of probably approximately correct learning. Building upon recent developments in scenario-based optimization, we accompany the computed Nash equilibrium with a priori and a posteriori probabilisti...
• Frequency-Limited Reduced Models for Linear and Bilinear Systems on the Riemannian Manifold AI翻译
  作者：Jiang, Yao-Lin; Xu, Kang-Li
  作者单位：Xi'an Jiaotong University
  摘要：In this article, we propose two new iterative algorithms to solve the frequency-limited Riemannian optimization model order reduction problems of linear and bilinear systems. Different from the existing Riemannian optimization methods, we design a new Riemannian conjugate gradient scheme based on the Riemannian geometry notions on a product manifold, and then generate a new search direction. Theoretical analysis shows that the resulting search direction is always descent with depending neither...
• Embedded Insertion Functions for Opacity Enforcement AI翻译
  作者：Keroglou, Christoforos; Lafortune, Stephane
  作者单位：University of Michigan System; University of Michigan
  摘要：We investigate the enforcement of opacity, an information-flow privacy property, using insertion sequences that modify the output of the system by event insertions. Previous work considered the problem of enforcing the opacity under the assumption that the insertion functions were based on the observed system strings. Now, we investigate the more powerful method of insertion sequences based on the exact system states and events. In this case, the insertion function would be embedded into the s...
• Active Security Control Approach Against DoS Attacks in Cyber-Physical Systems AI翻译
  作者：Li, Tongxiang; Chen, Bo; Yu, Li; Zhang, Wen-An
  作者单位：Zhejiang University of Technology; Zhejiang University of Technology
  摘要：An active security control approach is developed in this article for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks, where DoS attacks exist in both the sensor-to-controller (S-C) channel and the controller-to-actuator (C-A) channel. Due to the cost constraints of attacks, it is reasonable to consider that the number of maximum continuous DoS attacks in both the S-C and the C-A channels is bounded. Then, to defend the two-channel DoS attacks, an active security control str...
• Decentralized Adaptive Fault-Tolerant Control for a Class of Strong Interconnected Nonlinear Systems via Graph Theory AI翻译
  作者：Ma, Hong-Jun; Xu, Lin-Xing
  作者单位：Northeastern University - China; Northeastern University - China
  摘要：This article addresses the decentralized tracking control problem for a class of strong interconnected nonlinear systems with actuator faults. The considered interconnections are allowed to be dominated by some bounding functions, which are linear growth in the status of all subsystems. First, an adaptive high-gain technique is introduced to deal with the unknown strong interconnections. Then, a group of fault-tolerant controllers is designed to adaptively compensate for the effects of the act...