Permanent magnet motors, often referred to as brushless direct current (BLDC) motors, are highly efficient, dependable, long-lasting, and controllable, making them suitable for a variety of applications. BLDC motor dr...
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We propose ACCT, an end-to-end learning-based congestion control mechanism for Internet flows that aims to achieve an optimal sending rate through collaboration between applications and the network elements along the ...
ISBN:
(纸本)9798350310900
We propose ACCT, an end-to-end learning-based congestion control mechanism for Internet flows that aims to achieve an optimal sending rate through collaboration between applications and the network elements along the network path. Specifically, an ACCT sender can exploit explicit feedback from the network about its ability to satisfy the application's desired sending rate. Unlike existing schemes, ACCT does not blindly adjust its sending rate to either of these signals;instead, it considers them advisory because the bottleneck may be at routers that do not support ACCT signaling. To detect such bottlenecks and strictly control the end-to-end delay for latency-sensitive applications, ACCT actively measures the end-to-end queuing delay and regulates its sending rate to keep queuing delay within an acceptable margin. Finally, ACCT heavily relies on a Reinforcement Learning (RL) agent to adjust the aggressiveness of its sending rate. We propose a novel approach to formulate the RL agent, exploiting multiple reward functions simultaneously to train the agent. We implemented the ACCT congestion control module in NS-3, which communicates with the RL agent via a technology-agnostic protocol. We evaluated performance across various network scenarios in both wired and wireless networks. Across all experiments, ACCT significantly outperforms commonly used TCP variants such as CUBIC;it provides network fairness when competing with other ACCT flows, and finally, ACCT flows coexist well when they carry heterogeneous traffic.
作者:
Dabrowski, AdamPoznań University of Technology
Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Signal Processing and Electronic Systems Jana Pawla II 24 Poznań60-965 Poland
In this tutorial some basic linear algebra problems: basis change and projection, are discussed together with examples of their applications in signal and image processing. In typical linear algebra university courses...
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A Pango FPGA-based solution for merging and processing multiple independent video streams and reconstructing a real-time display system is presented. The system handles each video stream individually, then produces a ...
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For safe vision-based controlapplications, perception-related constraints have to be satisfied in addition to other state constraints. In this paper, we deal with the problem where a multirotor equipped with a camera...
ISBN:
(纸本)9798350301243
For safe vision-based controlapplications, perception-related constraints have to be satisfied in addition to other state constraints. In this paper, we deal with the problem where a multirotor equipped with a camera needs to maintain the visibility of a point of interest while tracking a reference given by a high-level planner. We devise a method based on reference governor that, differently from existing solutions, is able to enforce control-level visibility constraints with theoretically assured feasibility. To this end, we design a new type of reference governor for linear systems with polynomial constraints which is capable of handling time-varying references. The proposed solution is implemented online for the real-time multirotor control with visibility constraints and validated with simulations and an actual hardware experiment.
In the realm of industrial production, an efficient, intelligent, flexible, and reliable production management system is paramount. This article delves deeply into the application of such a system in a water pump fact...
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The Advancement of Smart Standing Lift for Staircases introduces advancements in the design and implementation of a smart standing lift suitable for staircases, catering to the needs of all individuals and also introd...
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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 framework to analyze the impact of feature selection, threshold level, and applied data window on fault detection accuracy is proposed in this study. It aims to bring a step closer to state-of-the-art fault detectio...
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On-product overlay (OPO) control is becoming more and more critical to successful 3D heterogeneous process integration which includes wafer-to-wafer (W2W) bonding. In this work, we will present novel overlay (OVL) met...
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ISBN:
(纸本)9798350334982
On-product overlay (OPO) control is becoming more and more critical to successful 3D heterogeneous process integration which includes wafer-to-wafer (W2W) bonding. In this work, we will present novel overlay (OVL) methods and experimental metrology results on an advanced CMOS Image Sensor (CIS) W2W process. We will discuss metrology challenges such as thick wafer measurement, target design, precision, and accuracy. Different target designs will be presented and evaluated with the irArcher (R) 007 from KLA. We will demonstrate Total Measurement Uncertainty (TMU) of 1 nm on production wafers, with Tool-Induced Shift (TIS) values comparable to the current best-in-class metrology tool for single wafer OVL measurement and suitable throughput for High-Volume Manufacturing (HVM). We will highlight the importance of such precise OVL metrology tools to address the sub-50 nm OVL challenge in sub-micron pitch, wafer-to-wafer bonding applications. Inter-field and intra-field terms will be presented. Unexpected infra-field signatures will be discussed. Finally, the impact of bonding OVL on back-side lithography steps will be introduced opening interest for Advanced Process control (APC) loops.
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