IEEE Transactions on Automatic Control

最新文章

• Finite-Time Stability of Impulsive Switched Systems AI翻译
  作者：Zhang, Taixiang; Li, Xiaodi; Cao, Jinde
  作者单位：Shandong Normal University; Southeast University - China; Yonsei University
  摘要：This article studies finite-time stability (FTS) of impulsive switched systems. Some sufficient criteria based on multiple Lyapunov functions coupled with dwell time condition are derived for ensuring the FTS property. It shows that when the mode governing continuous dynamic is finite-time stable but the discrete dynamic involves destabilizing impulses, the FTS can be guaranteed if the impulses can be effectively restrained by dwell time condition. Conversely, when the mode governing continuou...
• Strong Structural Controllability of Boolean Networks: Polynomial-Time Criteria, Minimal Node Control, and Distributed Pinning Strategies AI翻译
  作者：Zhu, Shiyong; Lu, Jianquan; Azuma, Shun-ichi; Zheng, Wei Xing
  作者单位：Southeast University - China; City University of Hong Kong; Kyoto University; Western Sydney University
  摘要：In this article, we initiate the strong structural controllability of Boolean networks (BNs), in order to cope with the difficulty of identifying intricate nodal dynamics. The derived necessary and sufficient criteria for the strong structural controllability of BNs are checkable in a polynomial amount of time. As an interesting feature, controllability is shown to be equivalent to fixed-time controllability in the network-structure regard. We further explore the minimal strong structural cont...
• Regional Eigenvalue Assignment in Cooperative Linear Output Regulation AI翻译
  作者：Koru, Ahmet Taha; Sarsilmaz, Selahattin Burak; Yucelen, Tansel; Muse, Jonathan A.; Lewis, Frank L.; Acikmese, Behcet
  作者单位：University of Texas System; University of Texas Arlington; Utah System of Higher Education; Utah State University; State University System of Florida; University of South Florida; University of Washington; University of Washington Seattle
  摘要：The contribution of this article is a regional eigenvalue assignment method for cooperative output regulation of heterogeneous linear multiagent systems with an internal model-based distributed dynamic state feedback control law. The proposed method offers an agent-wise local approach to synthesize distributed control gains while assigning, for example, the minimal decay rate and the minimal damping ratio of the overall closed-loop system as desired. Numerical examples demonstrate the efficacy...
• Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm AI翻译
  作者：Khodadadian, Sajad; Doan, Thinh T.; Romberg, Justin; Maguluri, Siva Theja
  作者单位：University System of Georgia; Georgia Institute of Technology; Virginia Polytechnic Institute & State University; Virginia Polytechnic Institute & State University; University System of Georgia; Georgia Institute of Technology
  摘要：Actor-critic style two-time-scale algorithms are one of the most popular methods in reinforcement learning, and have seen great empirical success. However, their performance is not completely understood theoretically. In this article, we characterize the global convergence of an online natural actor-critic algorithm in the tabular setting using a single trajectory of samples. Our analysis applies to very general settings, as we only assume ergodicity of the underlying Markov decision process. ...
• Finite-Horizon H8 Filtering via a High-Rate Network With the FlexRay Protocol AI翻译
  作者：Liu, Shuai; Wang, Zidong; Wang, Licheng; Wei, Guoliang
  作者单位：University of Shanghai for Science & Technology; Brunel University; Shanghai University of Electric Power; University of Shanghai for Science & Technology
  摘要：This article addresses the finite-horizon H-8 filtering problem for a class of discrete time-varying nonlinear systems over high-rate networks whose signal exchanges are scheduled by the FlexRay protocol. To improve the efficiency of the data transmission, a high-rate network is deployed for the measurement signals to be broadcasted from the sensors to the filter. The FlexRay protocol is embedded into the high-rate network to orchestrate the transmission rule of the signals with different attr...
• Optimal Dynamic Mechanism Design With Stochastic Supply and Flexible Consumers AI翻译
  作者：Navabi, Shiva; Nayyar, Ashutosh
  作者单位：University of Southern California
  摘要：In this article, we consider the problem of designing an expected-revenue-maximizing mechanism for allocating multiple nonperishable goods of k varieties to flexible consumers over T time steps. In our model, a random number of goods of each variety may become available to the seller at each time, and a random number of consumers may enter the market at each time. Each consumer is present in the market for one time step and wants to consume one good of one of its desired varieties. Each consum...
• Nonparameteric Event-Triggered Learning With Applications to Adaptive Model Predictive Control AI翻译
  作者：Zheng, Kaikai; Shi, Dawei; Shi, Yang; Wang, Junzheng
  作者单位：Beijing Institute of Technology; Beijing Institute of Technology; University of Victoria
  摘要：In this article, an event-triggered online learning problem for Lipschitz continuous systems with nonlinear model mismatch is considered, with the aim of building a data-efficient nonparameteric estimation approach for learning-based control. The system considered is composed of known linear dynamics and unknown nonlinearity, and the main focus of this work includes the design and analysis of event-triggered learning mechanisms, and the application of the learning method to adaptive model pred...
• Multiagent Low-Dimensional Linear Bandits AI翻译
  作者：Chawla, Ronshee; Sankararaman, Abishek; Shakkottai, Sanjay
  作者单位：University of Texas System; University of Texas Austin; University of California System; University of California Berkeley; University of Texas System; University of Texas Austin
  摘要：We study a multiagent stochastic linear bandit with side information, parameterized by an unknown vector 0(*) ? R-d. The side information consists of a finite collection of low-dimensional subspaces, one of which contains 0(*). In our setting, agents can collaborate to reduce regret by sending recommendations across a communication graph connecting them. We present a novel decentralized algorithm, where agents communicate subspace indices with each other and each agent plays a projected varian...
• Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data AI翻译
  作者：Furieri, Luca; Guo, Baiwei; Martin, Andrea; Ferrari-Trecate, Giancarlo
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
  摘要：As we transition toward the deployment of data-driven controllers for black-box cyberphysical systems, complying with hard safety constraints becomes a primary concern. Two key aspects should be addressed when input-output data are corrupted by noise: how much uncertainty can one tolerate without compromising safety, and to what extent is the control performance affected? By focusing on finite-horizon constrained linear- quadratic problems, we provide an answer to these questions in terms of t...
• Safe Value Functions AI翻译
  作者：Massiani, Pierre-Francois; Heim, Steve; Solowjow, Friedrich; Trimpe, Sebastian
  作者单位：RWTH Aachen University; Max Planck Society; Massachusetts Institute of Technology (MIT)
  摘要：Safety constraints and optimality are important but sometimes conflicting criteria for controllers. Although these criteria are often solved separately with different tools to maintain formal guarantees, it is also common practice in reinforcement learning (RL) to simply modify reward functions by penalizing failures, with the penalty treated as a mere heuristic. We rigorously examine the relationship of both safety and optimality to penalties, and formalize sufficient conditions for safe valu...