This project aimed to implement a prototype capable of real-time monitoring and control of various parameters in information management setting with Internet of Things (IoT). Research methodology involved designing an...
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Recent text-to-image generation models can produce high-quality images from textual prompts. However, it is difficult to correctly interpret instructions specifying the complex images with multiple objects using only ...
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The Tomasulo algorithm is a computer architecture hardware algorithm used for dynamic scheduling of instruction. The reservation station changes the read-write control mechanism of the architecture by caching instruct...
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This paper deals with designing the adaptive filter based on neural networks and using derivatives of signals. The two-stage procedure of adaptive filtering is proposed. Expressions for filter procedure including dete...
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In today's society, the agricultural logistics and transportation industry faces numerous challenges in meeting the demands for fresh produce preservation and efficient transport. Insufficient environmental monito...
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The technical realization of temperature control system plays a key role in the development of industrial automation. This paper designs a temperature control system with the heating furnace model as the controlled ob...
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Classification of unstructured data like text is an area of natural language processing, which makes efficient use of text data in the domain of library science, information science and computer science. In this paper...
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Automation of ship maneuvering in limited sailing conditions usually requires 100% redundancy of thrusters (THRs) of various modifications and their locations in accordance with the matrix. The hierarchy of the motion...
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The autonomous anti-sway control of the ship-mounted crane systems is a tough issue due to the under-actuated characteristic, strong coupling and base excitation. Furthermore, the ship-mounted crane systems are also s...
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ISBN:
(纸本)9789819770007;9789819770014
The autonomous anti-sway control of the ship-mounted crane systems is a tough issue due to the under-actuated characteristic, strong coupling and base excitation. Furthermore, the ship-mounted crane systems are also suffering from unknown dynamics and frictions etc. In some conditions, the ship-mounted cranes may exhibit spherical pendulum effects. These factors make the control problem even more challenging. To solve the above problems, this paper designed a Radical Basis Function Neural Network (RBFNN) based feedback control method for a 5-DOF ship-mounted rotary crane. Specially, the adaptive RBFNN is established to approximate the unknown dynamics online. After that, eschewing any simplification of the dynamic model, a feedback anti-sway control is designed to ensure the cargo could reach to desired position and dampening the payload spherical swing simultaneously. The closed-loop stability is analyzed and the effectiveness of the control method is validated via simulation experiment results.
It is very crucial to maintain high efficiency in a dc-dc converter over an extensive load current range in order to extend the battery-life in advanced fast switching applications. In order to improve the performance...
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ISBN:
(纸本)9781665452519
It is very crucial to maintain high efficiency in a dc-dc converter over an extensive load current range in order to extend the battery-life in advanced fast switching applications. In order to improve the performance of DC-DC buck converters hysteresis current control technique is adopted here in this paper. This paper presents the mathematical modeling and performance analysis of a buck converter with hysteresis current control scheme. This paper examines the performance of the current control hysteresis buck converter under both low and high duty ratios along with load and supply transients. Performance of hysteresis current control buck converter is compared with other fixed frequency control and variable frequency control methods, which shows better dynamic performance;lower voltage ripples are obtained in simulated results using MATLAB 18 version software.
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