Abstract:
This study proposes a solution to the problem that arises during the development and operation of cyber-physical systems (CPS) based on the capabilities of artificial int...Show MoreMetadata
Abstract:
This study proposes a solution to the problem that arises during the development and operation of cyber-physical systems (CPS) based on the capabilities of artificial intelligence (AI). The study presents a comprehensive overview of CPS and their interactions with the environment. It offers a general classification of deep reinforcement learning algorithms, followed by an in-depth analysis of each algorithm. The current utilization of deep learning technologies within autonomous mobile cyber-physical systems is discussed. It proposes various approaches to integrate deep learning technologies with reinforcement learning in autonomous mobile CPS. Additionally, it provides a generalized structural diagram illustrating the incorporation of a deep learning module with reinforcement into CPS. The result of the research is the use of deep learning technology to improve the performance of autonomous mobile cyber-physical systems.
Published in: 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST)
Date of Conference: 15-17 May 2024
Date Added to IEEE Xplore: 15 August 2024
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Deep Learning ,
- Autonomic System ,
- Cyber-physical Systems ,
- Autonomous Mobile ,
- E-learning ,
- Mobile System ,
- Deep Reinforcement Learning ,
- Deep Learning Technology ,
- Artificial Intelligence Capabilities ,
- Neural Network ,
- Resource Allocation ,
- Resource Utilization ,
- Physical Body ,
- Cybersecurity ,
- Recurrent Neural Network ,
- Physical Space ,
- Optimal Policy ,
- Safety Systems ,
- State Representation ,
- Anomaly Detection ,
- Programmable Logic Controllers ,
- Digital Realm ,
- Reinforcement Learning Techniques ,
- Reward Function ,
- Cyberspace ,
- Network Utility ,
- Resource Allocation Decisions ,
- Q-learning Algorithm ,
- Sensory Organs
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Deep Learning ,
- Autonomic System ,
- Cyber-physical Systems ,
- Autonomous Mobile ,
- E-learning ,
- Mobile System ,
- Deep Reinforcement Learning ,
- Deep Learning Technology ,
- Artificial Intelligence Capabilities ,
- Neural Network ,
- Resource Allocation ,
- Resource Utilization ,
- Physical Body ,
- Cybersecurity ,
- Recurrent Neural Network ,
- Physical Space ,
- Optimal Policy ,
- Safety Systems ,
- State Representation ,
- Anomaly Detection ,
- Programmable Logic Controllers ,
- Digital Realm ,
- Reinforcement Learning Techniques ,
- Reward Function ,
- Cyberspace ,
- Network Utility ,
- Resource Allocation Decisions ,
- Q-learning Algorithm ,
- Sensory Organs
- Author Keywords