IEEE TRANSACTIONS ON AUTOMATIC CONTROL
IEEE TRANSACTIONS ON AUTOMATIC CONTROL(英文缩写 IEEE T AUTOMAT CONTR),ISSN 0018-9286,eISSN 1558-2523 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 最新收录文献
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On the control of recurrent neural networks using constant inputs.
This paper investigates the controllability of a broad class of recurrent neural networks widely used in theoretical neuroscience, including models of large-scale human brain dynamics. Motivated by em…
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Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse.
We develop a new class of model-free deep reinforcement learning algorithms for data-driven, learning-based control. Our Generalized Policy Improvement algorithms combine the policy improvement guaran…
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Solid Boundary Output Feedback Control of the Stefan Problem: The Enthalpy Approach.
By taking enthalpy-an internal energy of a diffusion-type system-as the system state and expressing it in terms of the temperature profile and the phase-change interface position, the output feedback …
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PAC Reinforcement Learning Algorithm for General-Sum Markov Games.
This paper presents a theoretical framework for probably approximately correct (PAC) multi-agent reinforcement learning (MARL) algorithms for Markov games. Using the idea of delayed Q-learning, the pa…
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A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.
This paper is concerned with minimizing the average of cost functions over a network in which agents may communicate and exchange information with each other. We consider the setting where only noisy …
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Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach.
This paper considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one non-zero coef…
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Ergodic opinion dynamics over networks: learning influences from partial observations.
In this paper we address the problem of inferring direct influences in social networks from partial samples of a class of opinion dynamics. The interest is motivated by the study of several complex sy…
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Stochastic control and non-equilibrium thermodynamics: fundamental limits.
We consider damped stochastic systems in a controlled (time-varying) potential and study their transition between specified Gibbs-equilibria states in finite time. By the second law of thermodynamics,…
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Smooth interpolation of covariance matrices and brain network estimation: Part II.
This work focuses on the modeling of time-varying covariance matrices using the state covariance of linear systems. Following concepts from optimal mass transport, we investigate and compare three typ…
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Smooth Interpolation of Covariance Matrices and Brain Network Estimation.
We propose an approach to use the state covariance of autonomous linear systems to track time-varying covariance matrices of nonstationary time series. Following concepts from the Riemannian geometry,…