In recent years, the integration of communication and control systems has gained significant traction in various domains, ranging from autonomous vehicles to industrial automation and beyond. Multi-armed bandit (MAB) ...
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ISBN:
(纸本)9798350309492;9798350309485
In recent years, the integration of communication and control systems has gained significant traction in various domains, ranging from autonomous vehicles to industrial automation and beyond. Multi-armed bandit (MAB) algorithms have proven their effectiveness as a robust framework for solving control problems. In this work, we investigate the use of MAB algorithms to control remote devices, which faces considerable challenges primarily represented by latency and reliability. We analyze the effectiveness of MABs operating in environments where the action feedback from controlled devices is transmitted over an unreliable communication channel and stored in a Geo/Geo/1 queue. We investigate the impact of queue sampling strategies on the MAB performance, and introduce a new stochastic approach. Its performance in terms of regret is evaluated against established algorithms in the literature for both upper confidence bound (UCB) and Thompson Sampling (TS) algorithms. Additionally, we study the trade-off between maximizing rewards and minimizing energy consumption.
The proceedings contain 175 papers. The topics discussed include: an optimized inverse neural network control augmented with feedback PI controller for time-varying systems;image encryption using neural network based ...
ISBN:
(纸本)9798331528201
The proceedings contain 175 papers. The topics discussed include: an optimized inverse neural network control augmented with feedback PI controller for time-varying systems;image encryption using neural network based chaotic systems;investigating the impact of update frequency on PID controller performance in autonomous robotics;deep learning framework for constellation signal classification in underwater optical wireless communication systems;fuzzy based web automation for smart power supply controller;ensembled machine learning models for antenna optimization in wireless communication/ biomedical applications;vertically integrated substrate integrated cavity based filtering antenna;network intrusion detection system using autoencoders;and a comparative study of Wallace tree multiplier and binary multiplier performance.
Urban rail transit has gradually become essential for relieving traffic pressure in China's large and medium-sized cities in recent years. By reasonably applying wireless communication systems to rail transit, the...
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With the rapid development of satellite communication technology, a series of problems caused by attitude changes during satellite in-orbit operation have also received increasing attention. However, in situations whe...
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The proceedings contain 239 papers. The topics discussed include: deep insights into mango scab: an ai-powered approach for detection and classification;a robust control framework for ensuring stability and efficiency...
ISBN:
(纸本)9798350343670
The proceedings contain 239 papers. The topics discussed include: deep insights into mango scab: an ai-powered approach for detection and classification;a robust control framework for ensuring stability and efficiency in microgrid integration;analyzing federated learning as a novel approach for enhancing security and privacy in the Internet of Things (IoT);synergistic solutions: federated learning meets CNNs in soybean disease classification;CyberGuard: detecting adversarial DDoS attacks in SDN using WGAN-CNN-GRU;analysis and classification of arcing signals by using MFCC;load frequency control scheme controller design for isolated and conventional two area power systems;minimum feature set based optimally tuned adaptive classification algorithm for arrhythmia detection;and solar powered buck-boost converter with different structural configurations.
Synchronous reluctance motors (SynRMs) are getting precedence now a days in industries compared to its contenders like induction motors because of its higher efficiency and cold rotor construction. SynRM suffers from ...
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This paper demonstrates the concept of reusing discarded smartphones to connect the end-of-life of e-wastes with the start-of-life of smart buildings. Two control-related and one communication-related case studies hav...
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In this paper, a new industrial automation network design scheme combining time-sensitive network (TSN) and 5G slicing technology is proposed. This scheme aims to solve the shortcomings of traditional network technolo...
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This paper explores the integration of Artificial Intelligence (AI) into communication systems within urban rail transit, emphasizing the development of a Train-to-Train (TT) communication-based train control system t...
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This research paper examines the use of robotic process automation (RPA) in banking chatbots. As the banking industry continues to drive digital transformation, chatbots are becoming an increasingly popular tool for c...
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