This paper studies an electrical automationcontrol system, including a microprocessor, and also includes: the environmental parameter acquisition module connected with the microprocessor, the electrical parameter acq...
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Distributed optimization algorithms have revolutionized the decision-making process in distribution network management. Unlike their centralized counterparts, the effectiveness of distributed algorithms is significant...
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ISBN:
(纸本)9798350318562;9798350318555
Distributed optimization algorithms have revolutionized the decision-making process in distribution network management. Unlike their centralized counterparts, the effectiveness of distributed algorithms is significantly affected by the non-ideal states of communication networks used for data exchange. Hence, evaluating the resilience of distributed algorithms to communication imperfections is essential. Regarding this, this work examines the effectiveness of a distributed algorithm, named alternating direction method of multipliers (ADMM), in a three-phase unbalanced distribution system under the network delays of three popular cellular communication technologies. The performance assessment of the algorithm is done using the IEEE 123-bus test system by optimally scheduling the inverters connected to the network to achieve voltage deviation minimization. This analysis offers valuable understanding about the efficacy of the ADMM algorithm in terms of the solution quality, number of iterations, convergence rate and update frequency.
This article investigates the effect of AI-driven structures on the automation of information science. AI-pushed structures and automation of records technology have ended up an increasing number of essential because ...
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With the rapid development of cloud computing and edge computing, the experimental control system for undergraduate students studying automation should be combined with these new technologies to advance their skills. ...
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作者:
Pande, Mandaar B.
Symbiosis Centre for Information Technology Pune India
In the past few years, quantum computers have become increasingly robust and are reaching industrial strength in terms being considered seriously for addressing real life problems. The potential of quantum computers t...
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Industrial automation and control systems (IACSs) are important for supporting the U.S. critical infrastructure and maintaining national security. IACS owners and operators continue to face threats from a variety of a...
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Industrial automation and control systems (IACSs) are important for supporting the U.S. critical infrastructure and maintaining national security. IACS owners and operators continue to face threats from a variety of adversaries, whose intentions include gathering intelligence, stealing intellectual property, obtaining financial compensation through ransom, and disrupting national critical infrastructures. The IACSs discussed do not just include control systems but often include electrical assets (microprocessor-based relays, trip units, etc.) that have been networked together using various communication protocols. Previous IEEE IAS Petroleum and Chemical Industry Technical conference (PCIC) articles have mentioned cybersecurity without providing details on how to secure an IACS. This article describes the issues that IACS owners and operators face and introduces the international Society of automation (ISA)/international Electrotechnical Commission (IEC) 62443 [1], [2], [3], [4], [5], [6], [7], [8], [9] series of standards as the basis for an effective cybersecurity program. These standards have been developed by the ISA99 committee of the ISA and IEC Technical Committee 65 Working Group 10 (TC65 WG10).
The Software Defined Networking (SDN) paradigm is rapidly emerging as a viable alternative in the realm of Next Generation Internet of Things (NG-IoT) due to the inherent challenge posed by traditional computer networ...
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ISBN:
(纸本)9798350381993;9798350382006
The Software Defined Networking (SDN) paradigm is rapidly emerging as a viable alternative in the realm of Next Generation Internet of Things (NG-IoT) due to the inherent challenge posed by traditional computer networks. SDN is revolutionizing traditional network architecture by significantly reducing the reliance on hardware. One of the key challenges of implementing SDN in NG-IoT is the extensive communication that occurs between the switches and the controllers due to the bursty nature of the traffic. Therefore, it is crucial to explore solutions aimed at minimizing this control overhead caused by excessive communication. To alleviate the burden on SDN controllers caused by switches, we propose a new method, named LSDA, which can effectively reduce the flow of control information. To promote fairness within the network, packets heading towards the same controller are aggregated, thereby eliminating the need for complex disassembly in the case of different destination controllers. The simulation results demonstrate that LSDA can effectively reduce the packet loss ratio while simultaneously improving network delay and jitter.
Teleoperation can be very difficult due to limited perception, high communication latency, and limited degrees of freedom (DoFs) at the operator side. Autonomous teleoperation is proposed to overcome this difficulty b...
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ISBN:
(纸本)9798350384581;9798350384574
Teleoperation can be very difficult due to limited perception, high communication latency, and limited degrees of freedom (DoFs) at the operator side. Autonomous teleoperation is proposed to overcome this difficulty by predicting user intentions and performing some parts of the task autonomously to decrease the demand on the operator and increase the task completion rate. However, decision-making for mode-switching is generally assumed to be done by the operator, which brings an extra DoF to be controlled by the operator and introduces extra mental demand. On the other hand, the communication perspective is not investigated in the current literature, although communication imperfections and resource limitations are the main bottlenecks for teleoperation. In this study, we propose an intelligent mode-switching framework by jointly considering mode-switching and communication systems. User intention recognition is done at the operator side. Based on user intention recognition, a deep reinforcement learning (DRL) agent is trained and deployed at the operator side to seamlessly switch between autonomous and teleoperation modes. A real-world data set is collected from our teleoperation testbed to train both user intention recognition and DRL algorithms. Our results show that the proposed framework can achieve up to 50% communication load reduction with improved task completion probability.
Commercial automation has been a powerful device for enhancing productivity, decreasing charges, and increasing performance. In particular, system vision systems have enabled the implementation of advanced automation ...
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The Internet of Vehicles is one of the essential technologies in the field of unmanned driving in the future. As a promising technology, mobile edge computing can provide a low-latency and high-reliability computing e...
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