IEEE Transactions on Automatic Control

最新文章

• Pinning Control for Stabilization of Boolean Networks Under Knock-Out Perturbation AI翻译
  作者：Zhong, Jie; Liu, Yang; Lu, Jianquan; Gui, Weihua
  作者单位：Zhejiang Normal University; Southeast University - China; Central South University
  摘要：In genetic regulatory networks, steady states represent cell types of cell death or unregulated growth, which are of significant interest in modeling networks. In this article, a pinning control intervention is studied for global stabilization of Boolean networks (BNs) under knock-out perturbation. Knock-out perturbation means that logical variables of some nodes of a BN remain 0 s. In order to reduce the impact of perturbation on stability, a pinning control approach is proposed to maintain g...
• Differentially Private Distributed Optimization via State and Direction Perturbation in Multiagent Systems AI翻译
  作者：Ding, Tie; Zhu, Shanying; He, Jianping; Chen, Cailian; Guan, Xinping
  作者单位：Shanghai Jiao Tong University
  摘要：This article studies the problem of distributed optimization in multiagent systems where each agent seeks to minimize the sum of all agents' objective functions using only local information. Under the requirement of security, each agent needs to keep its objective function private from other agents and potential eavesdroppers. We first prove the impossibility of guaranteeing convergence and differential privacy simultaneously by perturbing states in exact distributed optimization algorithms. M...
• Abstraction of the Supervisory Control Solution to Deal With Planning Problems in Manufacturing Systems AI翻译
  作者：Pena, Patricia N.; Vilela, Juliana N.; Alves, Michel R. C.; Rafael, Gustavo C.
  作者单位：Universidade Federal de Minas Gerais; University of Detroit Mercy; Universidade Federal de Minas Gerais
  摘要：In industry, the performance has to be optimized to allow its competitiveness. The goal then is to use the resources at their maximal capacity, reduce the production time, and be flexible to adapt to the customers requests. The closed-loop behavior of a system under the supervisory control theory (SCT) guarantees nonblockingness and safety requirements and, thus, it can be used as the search universe for a planning problem. SCT suffers with the curse of dimensionality when systems become bigge...
• Probabilistic Interval Predictor Based on Dissimilarity Functions AI翻译
  作者：Carnerero, A. D.; Ramirez, D. R.; Alamo, T.
  作者单位：University of Sevilla
  摘要：This work presents a new methodology to obtain probabilistic interval predictions of a dynamical system. The proposed strategy uses stored past system measurements to estimate the future evolution of the system. The method relies on the use of dissimilarity functions to estimate the conditional probability density function of the outputs. A family of empirical probability density functions, parameterized by means of two scalars, is introduced. It is shown that the proposed family encompasses t...
• Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization Over Time-Varying Directed Graphs AI翻译
  作者：Chen, Yiyue; Hashemi, Abolfazl; Vikalo, Haris
  作者单位：University of Texas System; University of Texas Austin; Purdue University System; Purdue University
  摘要：In this article, we consider the problem of decentralized optimization over time-varying directed networks. The network nodes can access only their local objectives, and aim to collaboratively minimize a global function by exchanging messages with their neighbors. Leveraging sparsification, gradient tracking, and variance reduction, we propose a novel communication-efficient decentralized optimization scheme that is suitable for resource-constrained time-varying directed networks. We prove tha...
• Optimal Targeting in Super-Modular Games AI翻译
  作者：Como, Giacomo; Durand, Stephane; Fagnani, Fabio
  作者单位：Polytechnic University of Turin; Lund University
  摘要：We study an optimal targeting problem for super-modular games with binary actions and finitely many players. The considered problem consists in the selection of a subset of players of minimum size, such that when the actions of these players are forced to a controlled value while the others are left to repeatedly play a best response action, the system will converge to the greatest Nash equilibrium of the game. Our main contributions consist in showing that the problem is NP-complete and in pr...
• Distributed Channel Access for Control Over Unknown Memoryless Communication Channels AI翻译
  作者：Farjam, Tahmoores; Wymeersch, Henk; Charalambous, Themistoklis
  作者单位：Aalto University; Chalmers University of Technology
  摘要：We consider the distributed channel access problem for a system consisting of multiple control subsystems that close their loop over a shared wireless network. We propose a distributed method for providing deterministic channel access without requiring explicit information exchange between the subsystems. This is achieved by utilizing timers for prioritizing channel access with respect to a local cost which we derive by transforming the control objective cost to a form that allows its local co...
• (Integral)ISS of Switched and Time-Varying Impulsive Systems Based on Global State Weak Linearization AI翻译
  作者：Mancilla-Aguilar, Jose Luis; Haimovich, Hernan
  作者单位：National University of Rosario
  摘要：It is shown that impulsive systems of nonlinear, time-varying, and/or switched form that allow a stable global state weak linearization are jointly input-to-state stable (ISS) under small inputs and integral ISS. The system is said to allow a global state weak linearization if its flow and jump equations can be written as a (time-varying, switched) linear part plus a (nonlinear) perturbation satisfying a bound of affine form on the state. This bound reduces to a linear form under zero input bu...
• Probably Approximately Correct Learning in Adversarial Environments With Temporal Logic Specifications AI翻译
  作者：Wen, Min; Topcu, Ufuk
  作者单位：University of Pennsylvania; University of Texas System; University of Texas Austin
  摘要：Reinforcement learning (RL) algorithms have been used to learn how to implement tasks in uncertain and partially unknown environments. In practice, environments are usually uncontrolled and may affect task performance in an adversarial way. In this article, we model the interaction between an RL agent and its potentially adversarial environment as a turn-based zero-sum stochastic game. The task requirements are represented both qualitatively as a subset of linear temporal logic (LTL) specifica...
• Informational Cascades With Nonmyopic Agents AI翻译
  作者：Bistritz, Ilai; Heydaribeni, Nasimeh; Anastasopoulos, Achilleas
  作者单位：Stanford University; University of Michigan System; University of Michigan
  摘要：We consider an environment where players need to decide whether to buy a certain product (or adopt a technology) or not. The product is either good or bad, but its true value is unknown to the players. Instead, each player has her own private information on its quality. Each player can observe the previous actions of other players and estimate the quality of the product. A classic result in the literature shows that in similar settings, informational cascades occur, where learning stops for th...