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Information engineering (ACIE), IEEE Asia Conference on

作者： Zirong Lv School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

Crop disease diagnosis is of great significance for crop yield and agricultural production. Deep learning methods have become a major research direction for solving crop disease diagnosis. However, recent studies have shown that deploying complex neural network models on mobile devices poses a significant challenge to mobile hardware performance. To address this issue, this paper proposes a lightweight network model based on the Transformer and deploys it on mobile devices. Compared to other lightweight network models, our approach significantly reduces computational complexity using Transformer modules and exhibits a particular advantage in recognition accuracy. It achieves a recognition rate of 97.76% for ten categories of tomato diseases, while the model size is only 3.86 MB. Furthermore, we deploy the model on embedded devices and apply it to tomato crop recognition, enabling farmers to monitor crop conditions in real-time and realizing smart agriculture.

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Data-Driven Optimal control for Half-Vehicle Suspension System via Adaptive Dynamic Programming 11

Data-Driven Optimal Control for Half-Vehicle Suspension Syst...

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11th IEEE Data Driven control and Learning systems Conference, DDCLS 2022

作者： Li, Hongyang Wei, Qinglai School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Institute of Systems Engineering Macau University of Science and Technology Macau999078 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

In this paper, a data-driven optimal control method is provided for the half-vehicle suspension system via adaptive dynamic programming. The main contribution of this paper is that the data-driven adaptive dynamic programming method is applied to the optimal control problem of half-vehicle suspension system, which only requires the input-state data of the system. First, the structure of the half-vehicle suspension system is analyzed, and the optimal control problem is introduced. Next, the model-based adaptive dynamic programming method is provided. Based on the model-based method, a data-driven adaptive dynamic programming method is given. The properties of the provided methods are analyzed. Finally, simulation example is given to show the effectiveness of the data-driven adaptive dynamic programming method. © 2022 IEEE.

关键词： Dynamic programming

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A DAOs-Based Publishing System for Advancing Open Access

A DAOs-Based Publishing System for Advancing Open Access

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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Siji Ma Juanjuan Li Sangtian Guan Qinghua Ni Fei Lin Tengchao Zhang Jun Huang Fei-Yue Wang Faculty of Innovation Engineering Macau University of Science and Technology Macau China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (数字)9798350349252

ISBN: (纸本)9798350349269

The development of the scientific publishing system has remarkably enhanced global accessibility to research findings and substantially increased the visibility and dissemination of academic publications. However, significant challenges still exist in effectively safeguarding the intellectual property rights of contributors, such as the unauthorized usage of materials, the complexity of enforcing intellectual property rights across various legal jurisdictions, and high instances of plagiarism and content misuse. Additionally, financial barriers related to open access may restrict the participation of economically disadvantaged researchers, potentially biasing scientific records towards more affluent research initiatives. To address these issues, a novel decentralized framework is formulated to ensure truly open access. This framework leverages blockchain for immutable record-keeping and clear attribution of authorship, to prevent unauthorized usage and plagiarism. Besides, it also utilizes a copyright-sharing model based on decentralized autonomous organizations and operations (DAOs), where smart contracts automatically enforce copyright and access policies to ensure fair compensation for authors and researchers. Furthermore, the copyright sharing model based on non-fungible tokens (NFT) and gradual ownership optimization (GOO) mechanism is proposed to ensure fair and accurate recognition and compensation for scholarly contributions.

关键词： Open Access Law Plagiarism Smart contracts Intellectual property Research initiatives Scientific publishing Nonfungible tokens Remuneration Optimization

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Genetic Algorithm-based Location and control Strategy of Grid-connected BESS

Genetic Algorithm-based Location and Control Strategy of Gri...

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第40届中国控制会议

作者： Jilong Zhuang Jian Ge Kanjian Zhang Haikun Wei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of AutomationSoutheast University

With the development of energy storage technology, more and more battery energy storage stations（BESSs） are connected to the power grid to restrain fluctuation and intermittency of renewable energy generation on the stability of the power grid. However, the connection with BESS will change the topology and power flow direction of the power grid. Therefore, based on the actual geographical wiring diagram and related data, this paper describes a grid model to analyze the influence of BESS connected to the power grid on power flow and node voltage. When the voltage of each node is stable, the genetic algorithm is applied to study how to select the access position and control the power of centralized or distributed BESSs to minimize the active power loss of the power grid. It provides guidance and reference for future location planning and control strategy of BESSs in the power grid.

关键词： Battery Energy Storage Station Power Flow Calculation Optimization

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Hydrodynamic Analysis and Verification of an Innovative Whale Shark-like Underwater Glider

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Journal of Bionic engineering 2020年第1期17卷 123-133页

作者： Huijie Dong Zhengxing Wu Min Tan Junzhi Yu State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceBIC-ESATCollege of EngineeringPeking UniversityBeijing 100871China

This paper presents an innovative design for a biomimetic whale shark-like underwater glider aiming at the combination of high maneuverability and long *** a hybrid of the underwater glider and the robotic fish,its pectoral fins and tail can serve as not only the external control surfaces for attitude regulation during gliding but also the propellers for agile fish-like swimming *** verify the gliding capability of the whale shark-like glider and prepare for future dynamic analysis,the hydrodynamic coefficients,including drag,lift,sliding force,and corresponding moments are estimated through computational fluid dynamics *** addition,the hydrodynamic analyses of the proposed glider and an equivalent conventional glider during steady gliding motion are executed for *** experiments are performed to verify the downward gliding *** results reveal that the whale shark-like glider has less drag as well as higher lift-to-drag ratio and a markable gliding capability in *** may offer important inspiration for improving the gliding efficiency and performance of an underwater glider in biomimetic shape design.

关键词： biomimetic robot CFD hydrodynamic analysis underwater glider

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A Classification Method of Photovoltaic Modules Shaded Area Based on Weighted K-nn

A Classification Method of Photovoltaic Modules Shaded Area ...

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第40届中国控制会议

作者： Lin Xia Chenxi Li Kanjian Zhang Haikun Wei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

In the actual operation of photovoltaic power stations,various types of shading,including leaves,bird’s droppings,and clouds,will inevitably *** shadings will affect the output power of the *** them,if a small area of shading is not removed in time,hot spots may be formed,accelerating the aging of photovoltaic modules,and not conducive to the healthy and stable operation of the overall ***,different shading objects cover different shading areas of photovoltaic modules,which cause different *** paper mainly analyzes the influence of different areas of shading on the current-voltage curve of photovoltaic modules,and proposes a classification algorithm based on weighted K-nn to classify the shading area according to the current-voltage curve characteristics of the module,which is helpful for subsequent identification of shading types and troubleshooting.

关键词： Photovoltaic Modules Shading Area K-Nearest Neighbor Classification

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Vital signs detection based on differential evolution and variational mode decomposition algorithm

Vital signs detection based on differential evolution and va...

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第33届中国控制与决策会议

作者： Yuhao Chen Haiyang Hu Zhenxing Sun Shihua Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University

Aiming at the problem that human breathing and heartbeat signals are difficult to detect in a low signal-to-clutter environment,this paper proposes a signal processing method that combines differential evolution algorithm and variational modal decomposition *** order to achieve non-contact detection of vital signs,this paper uses ultra-wideband radar to collect the signal reflected by the human body,and suppresses the interference of the background signal by removing the background of the signal,and then extracts the signal reflected by the human chest in the fast time *** that,according to the frequency range of breathing and heartbeat signals,low-pass filter and band-pass filter are used to filter useless *** at the problem that the variational modal decomposition algorithm needs to manually adjust parameters in advance,this paper takes the maximum effective frequency band energy ratio as the objective function,and uses differential evolution algorithm to automatically search for the best parameter combination of variational modal decomposition,which reduces the workload of parameter ***,variational modal decomposition by the best parameter combination is used again to decompose the signal,and the breathing and heartbeat signals are reconstructed from the decomposed modal *** show that the method proposed in this paper can measure the human body's respiratory rate and heartbeat rate with high accuracy.

关键词： UWB radar Differential evolution algorithm Variational modal decomposition algorithm Maximum effective frequency band energy ratio

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Dynamic Multi-Person Mesh Recovery from Uncalibrated Multi-View Cameras

arXiv

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arXiv 2021年

作者： Huang, Buzhen Shu, Yuan Zhang, Tianshu Wang, Yangang Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

Dynamic multi-person mesh recovery has been a hot topic in 3D vision recently. However, few works focus on the multi-person motion capture from uncalibrated cameras, which mainly faces two challenges: the one is that inter-person interactions and occlusions introduce inherent ambiguities for both camera calibration and motion capture;The other is that a lack of dense correspondences can be used to constrain sparse camera geometries in a dynamic multi-person scene. Our key idea is incorporating motion prior knowledge into simultaneous optimization of extrinsic camera parameters and human meshes from noisy human semantics. First, we introduce a physics-geometry consistency to reduce the low and high frequency noises of the detected human semantics. Then a novel latent motion prior is proposed to simultaneously optimize extrinsic camera parameters and coherent human motions from slightly noisy inputs. Experimental results show that accurate camera parameters and human motions can be obtained through one-stage optimization. The codes will be publicly available at https://***. Copyright © 2021, The Authors. All rights reserved.

关键词： Mesh generation

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The Potential of Low-Altitude Airspace: The Future of Urban Air Transportation

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第8期9卷 5250-5254页

作者： Hailong Huang Jiangcheng Su Fei-Yue Wang Department of Aeronautical and Aviation Engineering Hong Kong Polytechnic University Hong Kong China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Institute of Engineering Macau University of Science and Technology Macau China

Many megacities, such as London, New York, Paris, Tokyo, Beijing, and Shanghai, have been born due to urban- ization. While citizens enjoy the convenience of city life, such cities suffer from drawbacks of transportation: the average commute time has been increasing over the past years. With the maturity of electric vertical take-off and landing (eVTOL) aircraft technology, decision-makers have started to look upward to the low-altitude airspace. This blue space has the potential to reshape the transportation system and shorten the average travel time in daily life. To explore this emerging area, we held a Distributed/Decentralized Hybrid Workshop on Sustain- ability for Transportation and Logistics (DHW-STL), and this letter summarizes the outcomes of our discussion. Here, we first pinpoint the pain issues of conventional transportation. Then, we present the emerging low-altitude airspace transportation option, followed by a discussion on how such a new transportation option can integrate with the conventional ground-based transportation system. Some thoughts about the pathway to further development of the integrated transportation system are shared finally.

关键词： Aircraft Transportation Urban areas Air traffic control Traffic congestion Meters Aircraft propulsion Motors Logistics Indexes

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Finite-time disturbance Observer Based Active Anti-disturbance control for Disturbed Inverted Pendulum System

Finite-time disturbance Observer Based Active Anti-disturban...

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第40届中国控制会议

作者： Xueying Lu Huazhou Hou Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

The balance control problem of disturbed inverted pendulum systems is *** of the existing advanced control methods for disturbed inverted pendulum systems are developed only to suppress constant or bounded *** results in a degradation of system performance when meeting severe *** this end,a finite-time disturbance observer is developed to estimate time-varying ***,an integral terminal sliding mode controller is designed for the inverted pendulum *** on the finite-time disturbance observer and the integral terminal sliding mode technique,a composite controller with finite-time convergence is proposed,which rejects the time-varying disturbances and alleviates the *** simulation results on the inverted pendulum system are presented to demonstrate the advantage and effectiveness of the proposed method.

关键词： Anti-disturbance Finite-time Disturbance Observer Integral Terminal Sliding Mode control

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