The presently ongoing industry 4.0 is by far the most rapidly transformational and widely trending revolution as compared to its previous three technological generations. The fourth generation of industry deals with c...
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Blindness, deafness and deaf blindness are inabilities which cause less interaction and communication between normal people and physically challenged people. This condition does not only affect communication between p...
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By expanding beyond broadband capabilities of commercial mobile networks and providing novel connectivity features for a wide variety of industry verticals, 5G is becoming a key enabler for the digitalization of indus...
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ISBN:
(纸本)9781665464321
By expanding beyond broadband capabilities of commercial mobile networks and providing novel connectivity features for a wide variety of industry verticals, 5G is becoming a key enabler for the digitalization of industry. However, unlike consumer market where users have very similar communication needs, industrial environments require direct control of security and performance aspects of an underlying networking infrastructure to achieve high communication availability and determinism for a broad range of applications and services. Similarly, it is vital to continuously monitor and verify the connectivity status and performance of devices, especially for mission-critical industrial systems. This paper investigates how to achieve fundamental management capabilities for 5G networks from industrial automation systems, which we refer to as "5G Managed from Industrial automation", while hiding "low-level" complexities of the technology. It presents a simplified 5G network management and monitoring solution, designed according to the functional requirements of a process control system, and based on a prototype of 5G system exposure capabilities. In addition, the paper presents details about the design and implementation of the 5G management solution in an ABB industrial automation system and its verification on a private 5G network offered by Ericsson.
This paper considers the abnormal intrusion detection issue for linear systems with unknown-but-bounded (UBB) noises which belong to ellipsotope set. The ellipsotope combine the advantages of ellipsoid and zonotope. T...
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This paper examines the use of hysteresis control in a buck DC DC converter. It is highly responsive to momentary outages and variations in load, resulting in exceptional performance. Not requiring a closed loop payme...
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People's demand for mechatronics technology control model is increasing gradually. It is necessary to improve the control model of mechatronics technology by studying, and hybrid particle swarm optimization is an ...
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This paper presents a study on the robust stability analysis of linear time-invariant systems with parameter uncertainties and norm-bounded uncertainties. By utilizing the structured singular value, necessary and suff...
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This paper focuses on developing an advanced Stellar Data Analysis and Deep Space Data Analysis System, leveraging the power of machine learning and deep learning algorithms. Utilizing cutting-edge techniques such as ...
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In this paper, a new method of adjusting the resistance value of the memristor is proposed by studying the existing resistance control methods and improving the variable gate voltage control method. The experimental r...
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There has been a growing interest to adopt low-power wide-area network technology, specially LoRa, for industrial control applications. Its machine-to-machine communication capabilities can enable management of large-...
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ISBN:
(纸本)9798350369274;9798350369281
There has been a growing interest to adopt low-power wide-area network technology, specially LoRa, for industrial control applications. Its machine-to-machine communication capabilities can enable management of large-area applications (e.g., oil fields over hundreds of km(2)) or process plants that are often positioned far from the central operations center, at inconvenient or hazardous locations in difficult terrain or offshore. While recent works have studied real-time communication over LoRa, they have not considered optimizing control performance. To optimize control performance, industrial automation needs a co-design of real-time scheduling and control. Such a co-design, in general, is highly challenging due to complex dependencies between control performance, plant dynamics, and real-time communication. Existing co-design approaches for other wireless domains are not applicable to LoRa network. LoRa nodes are extremely power-constrained hindering frequent communication and scale. In this paper, we propose a highly energy-efficient and scalable framework for real-time scheduling and control co-design for a LoRa network. By taking into account LoRa characteristics, the co-design approach entails state-aware communication and control to dynamically update the sampling rates while meeting real-time constraints. To minimize communication and synchronization overhead, the co-design is decomposed through a partitioned scheduling. We consider co-design in each partition of the control loops by developing a new schedulability condition. The proposed scheduling-control co-design solution dynamically determines the sampling rates of the sensors to optimize control performance. Simulations based on NS-3 and a custom control script show that our co-design approach minimizes control cost at least by 80% as compared to the baselines.
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