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Articles by Yumin Su
Maize Leaf Disease Recognition Based on Improved Convolutional Neural Network ShuffleNetV2
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Fixed-Time Path-Following-Based Underactuated Unmanned Surface Vehicle Dynamic Positioning Control
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Routing Design for Pipe System Considering Natural Frequency
1. Introduction Pipe design is among the most difficult, time-consuming tasks in the aerospace and ship industries [1,2,3]. Designers primarily focus on the geometric design of pipelines and often struggle to allocate sufficient time and expertise to considering the natural frequency. Applying the natural frequency calculation algorithm to the pipe’s routing algorithm poses challenges. The main difficulty is that the routing algorithm does not know the final model during the process.
Intelligent Task Allocation and Planning for Unmanned Surface Vehicle (USV) Using Self-Attention Mechanism and Locking Sweeping Method
1. Introduction The research and development of unmanned surface vehicles (USVs) have garnered increasing attention in recent years. These vehicles are being actively developed and deployed across various practical applications [1,2,3], predominantly in the military domain. By employing USVs for hazardous tasks such as maritime patrol and coast guarding in dangerous environments, human risk can be greatly minimized as operator involvement is limited.
Two‐layer leader‐follower optimal affine formation maneuver control for networked unmanned surface vessels with input saturations
CONFLICT OF INTEREST STATEMENT The authors declare that they have no conflict of interests for this article. REFERENCES 1, , , . An overview of recent advances in coordinated control of multiple autonomous surface vehicles. IEEE Trans Industr Inform. 2020; 17(2): 732-745. 2, , , , . Challenges and future trends in marine robotics. Annu Rev Control. 2018; 46: 350-368. 3, , , . Robust leader-follower formation tracking control of multiple underactuated surface vessels. China Ocean Eng. 2012; 26: 521-534.
Distributed secure formation control for autonomous surface vessels by performance adjustable event‐triggered mechanism
Abstract This article studies the secure formation control problem for autonomous surface vessels (ASVs) with directed event-triggered communication subject to denial-of-service (DoS) attacks. DoS attack is a type of cyber-attacks meant to cut down a network, thus causing legitimate neighbors to lose their expected communication in the control mechanism. A distributed secure formation control algorithm (DSFCA) is proposed to mitigate the negative impact of DoS attacks.
Object Extraction Algorithm for the First-Frame Image of Unmanned Surface Vehicles Based on a Radar-Photoelectric System
1. Introduction An unmanned surface vehicle (USV) [1,2,3,4,5,6] is an intelligent vehicle with autonomous navigation, autonomous obstacle avoidance [7], and dynamic object tracking capabilities. It is suitable for performing dangerous and repetitive missions. USVs often encounter harsh operating conditions, such as heavy fog, huge waves, and heavy rain. Military and civilian applications of USVs are widespread.
Local Defogging Algorithm for the First Frame Image of Unmanned Surface Vehicles Based on a Radar-Photoelectric System
Open AccessArticle by Qingze Yu * and Yumin Su Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, China * Author to whom correspondence should be addressed.
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