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检索条件"任意字段=IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning"
1018 条 记 录,以下是361-370 订阅
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Self-Tuning Network Control Architectures
Self-Tuning Network Control Architectures
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ieee Conference on Decision and Control
作者: Tyler Summers Karthik Ganapathy Iman Shames Mathias Hudoba de Badyn Control Optimization and Networks Lab University of Texas at Dallas Australian National University Automatic Control Laboratory ETH Zürich
We formulate a general mathematical framework for self-tuning network control architecture design. This problem involves jointly adapting the locations of active sensors and actuators in the network and the feedback c... 详细信息
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Application of reinforcement learning to The Orientation and Position Control of A 6 Degrees of Freedom Robotic Manipulator
Application of Reinforcement Learning to The Orientation and...
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ieee Latin American Robotics symposium, LARS
作者: Felipe Rigueira Campos Aline Xavier Fidêncio Jacó Domingues Gustavo Pessin Gustavo Freitas Programa de Pós-Graduação em Instrumentação Controle e Automação de Processos de Mineração Universidade Federal de Ouro Preto e Instituto Tecnológico Vale Ouro Preto MG Brazil Laboratório de Robótica Controle e Instrumentação Instituto Tecnológico Vale Ouro Preto MG Brazil Faculty of Electrical Engineering and Information Technology Ruhr-University Bochum Germany Departamento de Computação Universidade Federal de Ouro Preto Ouro Preto MG Brazil Departamento de Engenharia Elétrica Universidade Federal de Minas Gerais Belo Horizonte MG Brazil
Applications with autonomous robots play an important role in the industry and in everyday life. Among them, the activities of manipulating and moving objects are highlighted by the wide variety of possible applicatio... 详细信息
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Neural-Network-Based Robust Control Schemes for Nonlinear Multiplayer Systems With Uncertainties via adaptive dynamic programming
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ieee TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2019年 第3期49卷 579-588页
作者: Jiang, He Zhang, Huaguang Luo, Yanhong Han, Ji Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China
This paper investigates the robust control issues of nonlinear multiplayer systems by utilizing adaptive dynamic programming (ADP) methods and fills a gap in the ADP field, where actuator uncertainties for multiplayer... 详细信息
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Deep Conservative Policy Iteration  34
Deep Conservative Policy Iteration
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34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI symposium on Educational Advances in Artificial Intelligence
作者: Vieillard, Nino Pietquin, Olivier Geist, Matthieu Google Res Brain Team Mountain View CA 94043 USA
Conservative Policy Iteration (CPI) is a founding algorithm of Approximate dynamic programming (ADP). Its core principle is to stabilize greediness through stochastic mixtures of consecutive policies. It comes with st... 详细信息
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AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using reinforcement learning  53
AutoScale: Energy Efficiency Optimization for Stochastic Edg...
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53rd Annual ieee/ACM International symposium on Microarchitecture (MICRO)
作者: Kim, Young Geun Wu, Carole-Jean Arizona State Univ Tempe AZ 85287 USA Facebook AI Menlo Pk CA USA
Deep learning inference is increasingly run at the edge. As the programming and system stack support becomes mature, it enables acceleration opportunities in a mobile system, where the system performance envelope is s... 详细信息
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The Voltage Regulation of Boost Converters Using Dual Heuristic programming  10
The Voltage Regulation of Boost Converters Using Dual Heuris...
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10th Annual Computing and Communication Workshop and Conference (CCWC)
作者: Saadatmand, Sepehr Kavousi, Mohammadamir Azizi, Sima Missouri Univ S&T Dept Elect & Comp Engn Rolla MO 65409 USA Univ Calif Riverside Dept Elect & Comp Engn Riverside CA 92521 USA
In this paper, a dual heuristic programming controller is proposed to control a boost converter. Conventional controllers such as proportional-integral-derivative (PID) or proportional-integral (PI) are designed based... 详细信息
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Model-free Based reinforcement learning Control Strategy of Aircraft Attitude Systems
Model-free Based Reinforcement Learning Control Strategy of ...
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Chinese Automation Congress (CAC)
作者: Huang, Dingcui Hu, Jiangping Peng, Zhinan Chen, Bo Hao, Mingrui Ghosh, Bijoy Kumar Univ Elect Sci & Technol China Sch Automat Engn Chengdu Peoples R China Syst Control & Intelligent Agent Cooperat Lab Sci & Technol Complex Beijing Peoples R China Texas Tech Univ Dept Math & Stat Lubbock TX 79409 USA
Traditional aircraft control algorithms have a strong dependence on system models, and are difficult to cope with the increasingly complex battlefield environment for intelligent aircrafts. In this paper, a model-free... 详细信息
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Distributed Frequency Controller for MT-HVDC Systems Via adaptive dynamic programming  32
Distributed Frequency Controller for MT-HVDC Systems Via Ada...
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32nd Chinese Control And Decision Conference (CCDC)
作者: Hu, Zhongjie Liu, Zhi-Wei Hu, Xiong Chi, Ming Huazhong Univ Sci & Technol Coll Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China
The exact mathematical models of multi-terminal high-voltage direct current (MT-HVDC) systems are hard to be obtained in the practical application of HVDC technology. To overcome this challenge, a model-free distribut... 详细信息
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A Time-Varying Deep reinforcement Model Predictive Control for DC Power Converter Systems
A Time-Varying Deep Reinforcement Model Predictive Control f...
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ieee International symposium on Power Electronics for Distributed Generation Systems (PEDG)
作者: Milad Andalibi Mojtaba Hajihosseini Sam Teymoori Maryam Kargar Meysam Gheisarnejad Shiraz University Shiraz Iran Aarhus University Aarhus Denmark UCSC Santa Cruz California United States Islamic Azad University Tehran Iran Islamic Azad University Najafabad Iran
Today power converters, especially DC/DC converters, is of great importance in power electronics applications such as DC micro-grids (MGs). However, they have some limitation such as inability to handle constant power... 详细信息
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On closed-loop stability of model predictive controllers with learning costs  18
On closed-loop stability of model predictive controllers wit...
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18th European Control Conference (ECC)
作者: Beckenbach, Lukas Osinenko, Pavel Streif, Stefan Tech Univ Chemnitz Automat Control & Syst Dynam Lab D-09107 Chemnitz Germany
Model predictive controllers are commonly associated with a fixed running and/or terminal cost function. Recently, some possibilities of cost function adaptation inspired by reinforcement learning were investigated. T... 详细信息
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