Groundbreaking applications such as ChatGPT have heightened research interest in generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation but also signal processing, offering su...
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The article is devoted to the results of an experimental study the integrity, reliability and efficiency of the social network graph as a complex network in terms of transferring messages between users. The computed n...
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The high concentration of fluoride (F-) ions in contaminated water has become an urgent challenge for public health and environmental safety. In this contribution, we adopted asymmetric flow electrode capacitive deion...
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Current source rectifiers offer advantageous features that make them attractive solutions for powering grid-connected high-power electrolysers. Being a single-stage step-down rectifier topology is particularly well-su...
ISBN:
(数字)9781837241217
Current source rectifiers offer advantageous features that make them attractive solutions for powering grid-connected high-power electrolysers. Being a single-stage step-down rectifier topology is particularly well-suited for the low voltage, high current characteristics of high-power electrolysers. This paper investigates the impact of electrolyser electrical behaviour on the operation of current source rectifiers and provides practical guidelines for their optimal sizing, aiming to enhance power quality while minimizing overall system costs. Requirements for both grid and electrolyser sides are defined, and key considerations for sizing converter elements such as semiconductors, input LC filter, output dc inductance, and power transformer are discussed. Through optimal sizing of these components, it is demonstrated that high switching frequency IGBT-based current source rectifiers can emerge as cost-effective solutions for industrial high-power electrolyser applications.
ECGs objectively reflects the working conditions of the hearts as these signals contain vast physiological and pathological information. In this work, in order to improve the efficiency and accuracy of "best so f...
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Defect engineering in metal oxides presents a promising approach for tailoring material properties. This strategy enhances gas sorption, catalysis, and control over key physical characteristics such as bandgap, magnet...
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This paper considers coordination control of double-integrator systems and proposes general control laws involving time-varying inputs. The nominal control input is weighted by time-varying (time-dependent or state-de...
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This paper considers coordination control of double-integrator systems and proposes general control laws involving time-varying inputs. The nominal control input is weighted by time-varying (time-dependent or state-dependent) positive definite matrices, providing more freedoms in defining the control tasks. We present sufficient conditions to ensure the asymptotic convergence of double-integrator networked systems in this context, and support the theoretical results by several application examples. This includes distance-based multi-agent formation control and power network systems with unknown inertia matrices.
In many cases, the primary transducer (PT) of a physical quantity sensor converts (normalizes) a variable physical quantity into an electrical signal. The dynamic error of the PT is determined by the delay time in the...
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Efficient and accurate segmentation of the point cloud for indoor scenes is an important task for 3D scene understanding. Due to the complexity of indoor environments. It is difficult to fully extract the details of p...
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This paper considers distributed nonconvex op-timization for minimizing the average of local cost functions, by using local information exchange over undirected communication networks. Since the communication channels...
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ISBN:
(数字)9781665467612
ISBN:
(纸本)9781665467629
This paper considers distributed nonconvex op-timization for minimizing the average of local cost functions, by using local information exchange over undirected communication networks. Since the communication channels often have limited bandwidth or capacity, we first introduce a quantization rule and an encoder/decoder scheme to reduce the transmission bits. By integrating them with a distributed algorithm, we then propose a distributed quantized nonconvex optimization algorithm. Assuming the global cost function satisfies the Polyak– Łojasiewicz condition, which does not require the global cost function to be convex and the global minimizer is not necessarily unique, we show that the proposed algorithm linearly converges to a global optimal point. Moreover, a low data rate is shown to be sufficient to ensure linear convergence when the algorithm parameters are properly chosen. The theoretical results are illustrated by numerical simulation examples.
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