1–20 von 2,278 Ergebnissen
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    ROBOT LEARNING HUMAN SKILLS AND INTELLIGENT CONTROL DESIGN

    Yang, Chenguang | TIBKAT | 2021
    Chapter 1: Introduction -- Chapter 2: Robot Platforms and Software Systems -- Chapter 3: Human-Robot Stiffness Transfer-Based on sEMG ...
    Schlagwörter: Machine learning , Intelligent control systems

    Towards Intelligent Train Control Systems

    Freier Zugriff
    Evelina Pencheva / Ventsislav Trifonov / Ivaylo Atanasov | DOAJ | 2022
    Future train control systems are expected to support high speed railways, to be automated and intelligent. European Railway Traffic ...
    Schlagwörter: european train control systems , machine learning

    INTELLIGENT SIGNAL CONTROL SYSTRM USING DEEP LEARNING AND METHOD FOR SIGNAL CONTROL

    Freier Zugriff
    LIM YONG SUN | Europäisches Patentamt | 2023

    According to the present invention, an intelligent signal control system using deep learning includes: a big data unit which learns big

     ...

    Machine learning-based traffic flow intelligent monitoring control system

    Freier Zugriff
    CHEN GANG / HU ZHIQIANG / GUO YONGSHUN et al. | Europäisches Patentamt | 2020

    The invention discloses a machine learning-based traffic flow intelligent monitoring control system comprising a computer terminal which

     ...

    Trust-aware Control for Intelligent Transportation Systems

    Cheng, Mingxi / Zhang, Junyao / Nazarian, Shahin et al. | IEEE | 2021
    Many intelligent transportation systems are multiagent systems, i.e., both the traffic participants and the subsystems within the ...

    Intelligent Traffic Control by Multi-agent Cooperative Q Learning (MCQL)

    Vidhate, Deepak A. / Kulkarni, Parag | Springer Verlag | 2018
    the path. Increasing transportation move and decreasing the average waiting time of each vehicle are the objectives of cooperative intelligent ...
    Schlagwörter: Cooperative learning , Multi-agent learning , Q learning , Data Mining and Knowledge Discovery

    Cooperative and intelligent control of multi-robot systems using machine learning

    Freier Zugriff
    Wang, Ying | BASE | 2008
    This thesis investigates cooperative and intelligent control of autonomous multi-robot systems in a dynamic, unstructured and unknown ...
    Schlagwörter: Robot systems , Q-learning

    Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

    Haydari, Ammar / Yilmaz, Yasin | IEEE | 2022
    for all control-based systems, e.g., in transportation, robotics, IoT and power systems. Combining data-driven applications with ...

    Intelligent Robust Disturbance Rejection Control via Deep Reinforcement Learning

    Huang, Hanqiao / Xu, Feihong / Cheng, Haoyu et al. | Springer Verlag | 2022
    control theory proves the stability of the designed intelligent robust disturbance rejection control system. What is more, a Deep Reinforcement ...
    Schlagwörter: H control , Deep Reinforcement Learning (DRL) , Control, Robotics, Mechatronics

    Intelligent Control of Manipulator Based on Deep Reinforcement Learning

    Zhou, Jiangtao / Zheng, Hua / Zhao, Dongzhu et al. | IEEE | 2021
    algorithms show strong online adaptability and self-learning capabilities for complex systems, and have gradually become one of the important ...

    Intelligent Power Control of Inverter Air Conditioners in Power Systems: A Brain Emotional Learning-Based Approach

    Freier Zugriff
    Oshnoei, Arman / Sadeghian , Omid / Anvari-Moghaddam, Amjad | BASE | 2022
    proposes a brain emotional learning (BEL)-based controller to provide the IACs with control signals to be efficiently involved in the frequency ...
    Schlagwörter: Control Systems , Frequency control , brain emotional learning , intelligent control , name=SDG 7 - Affordable and Clean Energy , and Infrastructure

    Intelligent automobile driving control system and method based on machine learning

    Freier Zugriff
    HUANG WEI / LI PENG / LU RUOZHEN | Europäisches Patentamt | 2023

    The invention discloses an intelligent automobile driving control system and method based on machine learning. The system comprises a

     ...

    Intelligent train stopping control for railways: A deep learning approach

    Freier Zugriff
    Chen, Xing / Yin, Jiateng / Ning, Chenhe | Wiley | 2023
    study first proposes an intelligent train stopping control approach based on deep learning for high‐speed railways. By collecting a large amount ...
    Schlagwörter: intelligent control

    Intelligent signal lamp control device based on information fusion and reinforcement learning

    Freier Zugriff
    ZHANG JIANSEN / FU JIANWEN / CHEN XINTONG et al. | Europäisches Patentamt | 2024

    The invention discloses an intelligent signal lamp control method based on information fusion and reinforcement learning. The method

     ...

    Intelligent train stopping control for railways: A deep learning approach

    Freier Zugriff
    Xing Chen / Jiateng Yin / Chenhe Ning | DOAJ | 2023
    intelligent train stopping control approach based on deep learning for high‐speed railways. By collecting a large amount of historical train operation ...
    Schlagwörter: intelligent control

    Electric vehicle intelligent access control method based on machine learning

    Freier Zugriff
    TANG ZIYU / LI ZIXIN / FANG MINGXING | Europäisches Patentamt | 2020

    The invention discloses an electric vehicle intelligent access control method based on machine learning. The method comprises the steps

     ...

    Brain emotional learning-based intelligent tracking control for Unmanned Aircraft Systems with uncertain system dynamics and disturbance

    Jafari, Mohammad / Fehr, Ric / Carrillo, Luis Rodolfo Garcia et al. | IEEE | 2017
    Systems (UAS) in presence of uncertain system dynamics and disturbance. The methodology adopted, known as Brain Emotional Learning Based ...

    Intersection intelligent network connection vehicle control method based on reinforcement learning

    Freier Zugriff
    WANG YOU / SHI HENGLIANG / CHEN HUAKUI et al. | Europäisches Patentamt | 2024

    The invention belongs to the technical field of intelligent traffic, and particularly discloses an intersection intelligent network

     ...

    Intelligent traffic light control using distributed multi-agent Q learning

    Liu, Ying / Liu, Lei / Chen, Wei-Peng | IEEE | 2017
    traffic and non-motorized traffic. In this paper, we propose an intelligent traffic light control solution by using distributed multi-agent Q ...

    Intelligent Learning Control

    Antsaklis, P. J. | British Library Online Contents | 1995
    Verlag: IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS