The proceedings contain 214 papers. The topics discussed include: customer intent prediction using sentiment analysis techniques;validation of the global human settlement layer and NASA population data for Ukraine;a c...
ISBN:
(纸本)9781665426053
The proceedings contain 214 papers. The topics discussed include: customer intent prediction using sentiment analysis techniques;validation of the global human settlement layer and NASA population data for Ukraine;a comparison of Kubernetes and Kubernetes-compatible platforms;data mining to achieve quality of life for home automation users;special aspects of errors definition via sum codes within embedded control schemas being realized by means of Boolean complement method;exploiting VPN bonding for time critical video transmission on board drone;adaptive management of digitalization projects for efficiency increasing;NILM application for real time monitoring of appliances energy consumption used;and biometric identification via oculomotor system based on the Volterra model.
In brain-machine interface (BMI) applications, a key challenge is the low information content and high noise level in neural signals, severely affecting stable robotic control. To address this challenge, we proposes a...
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Time series forecasting plays a crucial role in practical applications such as extreme weather warning and long-term energy consumption planning. However, accurately predicting long-term trends in time series data is ...
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There has been a growing interest to adopt low-power wide-area network technology, specially LoRa, for industrial controlapplications. 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 controlapplications. 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.
A fully integrated primary equalizer-assisted constant off-time and hysteretic control reconfigurable transmitter at 13.56 MHz for wireless power transfer (WPT) applications is presented. The transmitter can automatic...
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Renewable energy resources have an increasing share of the electrical power, and the concept of distributed generation and storage units is about to completely change the basic architecture and control algorithms of t...
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ISBN:
(数字)9781665473385
ISBN:
(纸本)9781665473385
Renewable energy resources have an increasing share of the electrical power, and the concept of distributed generation and storage units is about to completely change the basic architecture and control algorithms of the electric power grids. In this tutorial paper, first a survey on data-driven control algorithms is presented. Then, an overview of different control problems related to the integration of the distributed energy resources into the electrical grid is given. Finally, a time-domain data-driven solution based on the neural networks and a frequency-domain solution using convex optimization techniques are presented for some challenging control problems in microgrids. The solutions are validated by simulation and hardware-in-the-loop (HIL) experiments.
Recently, the DC-DC solid-state transformer concept is becoming more and more popular for medium voltage applications. This architecture due to its modularity, has the potential to present high levels of reliability. ...
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The manipulation of surface waves using subwavelength structures to convert them to leaky waves is a well established technique. These have unique properties that can generate surface waves for precise control of radi...
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ISBN:
(纸本)9798350367393;9798350367386
The manipulation of surface waves using subwavelength structures to convert them to leaky waves is a well established technique. These have unique properties that can generate surface waves for precise control of radiated power. Microwave holography helps compute surface properties for desired beam characteristics. Proposed antenna uses holography to compute surface reactance, supporting Fresnel design modulation. It steers beams at 45 degrees, excited by a 5.9 GHz monopole. Study on different ground plane sizes is presented. Optimized antenna is fabricated and characterized, exhibits 8.45 dBi gain with 18.10 dB return loss.
Model uncertainties and external disturbances significantly impact the performance of trajectory tracking control in robotic systems. This paper proposes a novel control strategy based on high-order fully actuated (HO...
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ISBN:
(纸本)9798350373707;9798350373691
Model uncertainties and external disturbances significantly impact the performance of trajectory tracking control in robotic systems. This paper proposes a novel control strategy based on high-order fully actuated (HOFA) system theoretical methods. The robotic system with nonlinear properties is transformed into a closed-loop linear system by pseudo-linear parameter design. The tracking controller is designed for the linearized system by combining robust control methods. Recognizing the system's susceptibility to disturbances during operation, a nonlinear disturbance observer (NDO) is designed to estimate and compensate for the lumped disturbances, and the stability of the system is demonstrated. Finally, comparative simulations based on the UR5 robot validate the effectiveness of the proposed control strategy.
This paper presents new results on "non individualized"closed-loop for blood glucose regulation, for diabetic patients affected by Type-1 Diabetes Mellitus. The design theory comes from the H∞/μ robust con...
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