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Articles by Jun Ning
Event-Triggered Fuzzy Course-Tracking Control of Unmanned Surface Vehicle With Input and State Quantization
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. References 1, , , and , “An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles,” IEEE Transactions on Industrial Informatics 17, no. 2 (2020): 732–745.
Adaptive neural network event-triggered distributed time-varying optimisation consensus control for nonlinear multi-agent systems
This paper investigates the adaptive neural network (NN) event-triggered distributed optimisation consensus control problem for nonlinear multi-agent systems (MASs) under directed stochastically switching topologies. Firstly, a distributed estimator is formulated to estimate the global optimal trajectory, which is generated by minimising the sum of local cost functions. Then, L1 convergence conditions of the distributed estimator are established.
High-accuracy hyperspectro-polarimetric real-time imaging via a deep learning empowered infrared meta-sensor
Abstract Light inherently carries multidimensional information, including intensity, polarization, and spectrum. Employing a miniaturized device to simultaneously, instantaneously, and accurately capture the multidimensional information of incident light in a single exposure holds significant applications across numerous fields, but remains challenging.
Disturbance observer course control of unmanned surface vessel with state and input quantisation under output constraints
Abstract This paper investigates an adaptive heading control strategy for unmanned surface vessel (USV) subject to simultaneous signal quantisation and output constraints. First, a uniform quantiser is employed to quantise the control inputs and state variables in the system, with the input quantisation process being characterised by a linear analytical model. The designed quantised feedback controller does not require prior knowledge of quantisation parameters.
Signal Quantization and Event-Triggered Trajectory Tracking for Multi-Constraint Control of Unmanned Surface Vehicle
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The authors are unable or have chosen not to specify which data has been used. References 1, , , et al., “Marine Environmental Monitoring With Unmanned Vehicle Platforms: Present Applications and Future Prospects,” Science of the Total Environment 858 (2023): 159741.
Extended state observer based trajectory tracking control of underactuated unmanned surface vehicle with signal quantization
Aiming at the model uncertainty and the complexity of trajectory tracking control of underactuated unmanned surface vehicles (USVs) in complex marine environments, an underactuated USV trajectory tracking control strategy with signal quantization based on the extended state observers (ESOs) is proposed in this paper. According to the inner and outer loop control strategy, the guidance law is designed in the kinematic subsystem to solve the underactuated problem of the USV.
Resilient Fuzzy Output‐Feedback Formation Control for Marine Harbor Unmanned Transport Vehicle Under Partial Information and DoS Attacks
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. References 1, , , , , and , “Internet of Things for Smart Ports: Technologies and Challenges,” IEEE Instrumentation and Measurement Magazine 21, no. 1 (2018): 34–43.
Dynamic Event‐Triggered Distributed Formation Control for Harbor Unmanned Container Transporter Platoon Under Dos Attacks
Conflicts of Interest The authors declare no conflicts of interest. References 1, , , , and , “Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology,” IEEE Access 8 (2020): 83387–83404. 2, , , and , “Networking Layer for the Evolution of Maritime Ports Into a Smart Environment,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2021): 251–257.
Event‐Triggered Based Trajectory Tracking Control of Under‐Actuated Unmanned Surface Vehicle with Input Quantization and Output Constraints
Conflicts of Interest The authors declare no conflicts of interest. References 1 and , “Connectivity-Maintaining and Collision-Avoiding Performance Function Approach for Robust Leader–Follower Formation Control of Multiple Uncertain Underactuated Surface Vessels,” Automatica 127 (2021): 109501. 2, , , et al., “Marine Environmental Monitoring With Unmanned Vehicle Platforms: Present Applications and Future Prospects,” Science of the Total Environment 858 (2023): 159741.
Neural Network‐Based Adaptive Dynamic Surface Course Tracking Control of an Unmanned Surface Vehicle With Signal Input Quantization
Conflicts of Interest The authors declare no conflicts of interest. References 1, , , and , “Trajectory Optimization of Unmanned Surface Vehicle Based on Improved Minimum Snap,” Ocean Engineering 302 (2024): 117719. 2, , , and , “Periodic Event-Triggered Adaptive Neural Control of Usvs Under Replay Attacks,” Ocean Engineering 306 (2024): 118022.
Fuzzy Course Tracking Control of Unmanned Surface Vehicle with Actuator Input Quantization and Event-Triggered Mechanism
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.
Collision Avoidance for Unmanned Surface Vehicles in Multi-Ship Encounters Based on Analytic Hierarchy Process-Adaptive Differential Evolution Algorithm
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.
Disturbance observer based adaptive heading control for unmanned marine vehicles with event‐triggered and input quantization
CONFLICT OF INTEREST STATEMENT The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Jun Ning reports financial support was provided by National Natural Science Foundation of China. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. REFERENCES 1, , , , , .
Evolutionary Characteristics of Industrial Parks from a Carbon Neutrality Perspective
1. Introduction The concept of an industrial park (IP) can be traced back to the “industrial district”, which refers to an industrial agglomeration area composed of a large number of related, specialized, small enterprises, as mentioned by Alfred Marshall in the Principles of Economics. With the process of industrialization, IP forms have also been constantly developed and improved [,]. Currently, IPs primarily refer to modern industrial parks (MIPs) since the mid-19th century.
Disturbance observer based adaptive heading control for unmanned surface vehicle with event‐triggered and signal quantization
REFERENCES 1, , , , , . Path-guided time-varying formation control with collision avoidance and connectivity preservation of under-actuated autonomous surface vehicles subject to unknown input gains. Ocean Eng. 2019; 191:106501. 2, , , . An overview of recent advances in coordinated control of multiple autonomous surface vehicles. IEEE Trans Industr Inform. 2020; 17(2): 732-745. 3, , , , . Predictor-based fixed-time LOS path following control of underactuated USV with unknown disturbances.
Adaptive Distributed Heterogeneous Formation Control for UAV-USVs with Input Quantization
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.
Silurian‐Devonian Lithospheric Thinning and Thermally Softening Along the Northern Margin of the Tarim Craton: Geological Mapping, Petro‐Structural Analysis and Geochronological Constraints
Article Dans Une Revue Tectonics Année : 2023 Silurian‐Devonian Lithospheric Thinning and Thermally Softening Along the Northern Margin of the Tarim Craton: Geological Mapping, Petro‐Structural Analysis and Geochronological Constraints Fichier sous embargo 0 ― 3 ― 0 Année Mois Jours Avant la publication vendredi 6 septembre 2024 hal-04222099 , version 1 (06-06-2024) Copyright (Tous droits réservés) Jun Ning, Ying‐de Jiang, Karel Schulmann, Sheng Wang, Peng‐fei Li, et al..
Formation Control for UAV-USVs Heterogeneous System with Collision Avoidance Performance
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.
A Link Prediction Algorithm Based on Weighted Local and Global Closeness
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.
Rapid and High-Throughput Determination of Sixteen β-agonists in Livestock Meat Using One-Step Solid-Phase Extraction Coupled with UHPLC-MS/MS
1. Introduction Livestock meat has traditionally been a fundamental part of the human diet because of its tremendous nutritional value. With the improvement of living standards, meat consumption shows a trend of annual growth. In recent years, people’s views on health have also changed, moving away from high-fat and high-energy diets toward low-fat and low-sugar foods. This has an impact on traditional livestock farming, such as lean pigs being more favored by consumers.
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