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DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT

IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 877-897页

作者： Qinghai Miao Wenbo Zheng Yisheng Lv Min Huang Wenwen Ding Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China School of Computer Science and Artificial Intelligence Wuhan University of TechnologyWuhan 430070China Institute of Automation Chinese Academy of SciencesBeijing 100190China Institute of System Engineering Macao University of Science and TechnologyMacaoChina

From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent ***,comparing,and summarizing these achievements at the paradigm level is important for future AI innovation,but has not received sufficient *** this paper,we give an overview and perspective on machine learning ***,we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge ***,we give an overview on three basic and twelve extended learning paradigms,such as Ensemble Learning,Transfer Learning,etc.,with figures in unified *** further analyze three advanced paradigms,i.e.,AlphaGo,AlphaFold and ***,to enable more efficient and effective scientific discovery,we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science(DeSci)movement based on decentralized autonomous organization(DAO).To this end,we design the Hanoi framework,which integrates human factors,parallel intelligence based on a combination of artificial systems and the natural world,and the DAO to inspire AI innovations.

关键词： ChatGPT decentralized science(DeSci) decentralized autonomous organization(DAO) machine learning paradigm shift

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One-shot functional photoacoustic microscopy for monitoring traumatic brain injury 16

One-shot functional photoacoustic microscopy for monitoring ...

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16th International Conference on Photonics and Imaging in Biology and Medicine, PIBM 2023

作者： Zhang, Yameng Chen, Yang Qi, Xinping Li, Weitao Department of Computer Engineering Nanjing Institute of Technology No.1 Hongjing Avenue Nanjing Jiangsu211167 China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu211106 China

ISBN: (纸本)9781510667341

Photoacoustic microscopy (PAM) is a novel medical imaging technique developed rapidly in recent years with the advantages of high resolution, high contrast, and no ionizing radiation. In this study, we developed a one-shot functional photoacoustic microscopy (OS-fPAM) system for assessing traumatic brain injury (TBI). The OS-fPAM system only employed a single 532 nm nanosecond pulse laser with Raman delay optical path control, which can produce both 532 nm and 553 nm laser beams. The dual-wavelength beams were then coupled via a dichroic mirror and focused on the surface of the experimental sample. Then, the photoacoustic signal was collected and amplified in the ultrasonic signal acquisition module, and the blood oxygen saturation (sO2) image was calculated by two wavelength photoacoustic images. The feasibility of the OS-fPAM system was performed through the calibration experiments with different ratios of red ink and blue ink. Meanwhile, the OS-fPAM system can monitor microvascular structures and sO2 in the TBI model on mice for 96 hours in vivo with a spatial resolution of ∼40 μm, demonstrating the potential to evaluate rehabilitation and cerebral vascular damage. © 2023 SPIE.

关键词： Photoacoustic microscopy

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State-of-Charge Balancing of Supercapacitors: A Consensus-Based Approach *

State-of-Charge Balancing of Supercapacitors: A Consensus-Ba...

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2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Li, Fei Chang, Taozhen Li, Heng He, Peinan He, Wei Huang, Zhiwu School of Automation Central South University Changsha China School of Computer Science and Engineering Central South University Changsha China School of Traffic & Transportation Engineering Central South University Changsha China

ISBN: (纸本)9798350320169

State-of-charge (SOC) balancing is crucial for the safety and lifetime of supercapacitors. However, the classical decentralized SOC balancing methods typically suffer from low energy efficiency. In this paper, we propose a consensus-based SOC balancing method for supercapacitors to synchronize cell SOC and improve the energy efficiency of the balancing system. Firstly, the switched system model is built by combining the equivalent circuit model of supercapacitors and the balancing circuit. Then, a sliding mode observer is designed to evaluate the SOC of supercapacitors. Thereafter, a consensus-based SOC balancing method is proposed to synchronize the SOC of supercapacitors during the charging process. An experimental platform is established, and the SOC estimation performance and effectiveness of proposed balancing method are verified with experiment results. Experiment results indicate that the sliding mode observer accurately estimate the SOC and the energy efficiency of proposed method improves 9.6% compared with the decentralized charging method. © 2023 IEEE.

关键词： Supercapacitor

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Balancing Control for Energy Storage Clusters Based on Cooperative Output Synchronization 6

Balancing Control for Energy Storage Clusters Based on Coope...

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6th International Conference on Power and Energy Technology, ICPET 2024

作者： Wang, Zengyong Wang, Xiao Xu, Weimao Wang, Chi Liu, Qing Gao, David Wenzhong School of Automation Wuhan University of Technology Wuhan China State Grid Liaoning Electric Power Company Shenyang China Department of Electrical and Computer Engineering University of Denver DenverCO United States

ISBN: (纸本)9798350375855

This paper investigates a distributed cooperative control strategy for large-scale heterogeneous energy storage devices aggregated to form a Virtual Storage Plant (VSP) that behaves in a similar fashion as centralized storage stations in terms of capacity and dynamic response capabilities. Similar to conventional energy storage facilities, maintaining a balanced state of charge is a critical goal for energy management within a VSP. Taking into account the dynamic models of energy storage systems and converters, we propose a synthesis method for designing homogeneous virtual external systems and output regulators within a multi-agent system framework. This approach enables the generation and tracking of consistent reference trajectories, ensuring that the VSP maintains a uniform internal state of charge while responding to external power commands. The effectiveness of the proposed control strategy is validated through Simulink simulation tests and further verified on a distributed control test platform set up in a real network environment. © 2024 IEEE.

关键词： Virtual storage

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Distributed Adaptive Formation Control of Heterogeneous Multi-agent Systems with Unknown System Parameters 43

Distributed Adaptive Formation Control of Heterogeneous Mult...

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43rd Chinese Control Conference, CCC 2024

作者： Long, Xingjian Ze, Kunrui Wang, Wei Long, Jiang Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Zhongguancun Laboratory Beijing100194 China Northwestern Polytechnical University School of Computer Science Shaanxi Xi'an710072 China

ISBN: (纸本)9789887581581

In this paper, we consider the leaderless formation control problem for heterogeneous multi-agent systems (MASs) consisting of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) with unknown system parameters. In order to solve the problem caused by nonidentical subsystem orders, a new distributed reference system is introduced in each agent, in which only the relative positions of the agents are involved. Then, a backstepping-based distributed adaptive control is proposed under directed graph condition. With the proposed control scheme, the boundedness of all the signals in the closed-loop system can be ensured and the positions of heterogeneous MASs can converge to a desired formation. Finally, experimental results are provided to demonstrate the effectiveness of the proposed control scheme. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Directed graphs

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Dual Branch PnP Based Network for Monocular 6D Pose Estimation

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Intelligent automation & Soft Computing 2023年第6期36卷 3243-3256页

作者： Jia-Yu Liang Hong-Bo Zhang Qing Lei Ji-Xiang Du Tian-Liang Lin Department of Computer Science and Technology Huaqiao UniversityXiamen361000China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao UniversityXiamen361000China Fujian Key Laboratory of Big Data Intelligence and Security Huaqiao UniversityXiamen361000China College of Mechanical Engineering and Automation Xiamen361000China

Monocular 6D pose estimation is a functional task in the field of com-puter vision and *** recent years,2D-3D correspondence-based methods have achieved improved performance in multiview and depth data-based ***,for monocular 6D pose estimation,these methods are affected by the prediction results of the 2D-3D correspondences and the robustness of the per-spective-n-point(PnP)*** is still a difference in the distance from the expected estimation *** obtain a more effective feature representation result,edge enhancement is proposed to increase the shape information of the object by analyzing the influence of inaccurate 2D-3D matching on 6D pose regression and comparing the effectiveness of the intermediate ***,although the transformation matrix is composed of rotation and translation matrices from 3D model points to 2D pixel points,the two variables are essentially different and the same network cannot be used for both variables in the regression ***,to improve the effectiveness of the PnP algo-rithm,this paper designs a dual-branch PnP network to predict rotation and trans-lation ***,the proposed method is verified on the public LM,LM-O and YCB-Video *** ADD(S)values of the proposed method are 94.2 and 62.84 on the LM and LM-O datasets,*** AUC of ADD(-S)value on YCB-Video is *** experimental results show that the performance of the proposed method is superior to that of similar methods.

关键词： 6D pose monocular RGB edge enhancement dual-branch PnP 2D-3D correspondence

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Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 75-89页

作者： Aijuan Song Guohua Wu Witold Pedrycz Ling Wang School of Traffic and Transportation Engineering Central South UniversityChangsha 410075China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 2V4Canada Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia Systems Research Institute Polish Academy of SciencesWarsaw 01447Poland Department of Automation Tsinghua UniversityBeijing 100084China

Nonlinear equations systems(NESs)are widely used in real-world problems and they are difficult to solve due to their nonlinearity and multiple *** algorithms(EAs)are one of the methods for solving NESs,given their global search capabilities and ability to locate multiple roots of a NES simultaneously within one ***,the majority of research on using EAs to solve NESs focuses on transformation techniques and improving the performance of the used *** contrast,problem domain knowledge of NESs is investigated in this study,where we propose the incorporation of a variable reduction strategy(VRS)into EAs to solve *** VRS makes full use of the systems of expressing a NES and uses some variables(i.e.,core variable)to represent other variables(i.e.,reduced variables)through variable relationships that exist in the equation *** enables the reduction of partial variables and equations and shrinks the decision space,thereby reducing the complexity of the problem and improving the search efficiency of the *** test the effectiveness of VRS in dealing with NESs,this paper mainly integrates the VRS into two existing state-of-the-art EA methods(i.e.,MONES and DR-JADE)according to the integration framework of the VRS and EA,*** results show that,with the assistance of the VRS,the EA methods can produce better results than the original methods and other compared ***,extensive experiments regarding the influence of different reduction schemes and EAs substantiate that a better EA for solving a NES with more reduced variables tends to provide better performance.

关键词： Evolutionary algorithm(EA) nonlinear equations systems(ENSs) problem domain knowledge variable reduction strategy(VRS)

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Solar Flare Forecast Model Based on Resampling and Fusion Method

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Research in Astronomy and Astrophysics 2022年第8期22卷 238-248页

作者： Jie Wan Jun-Feng Fu Dai-Min Tan Ke Han Meng-Yao Yu Peng E Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbin 150001China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China School of Computer and Information Engineering Harbin University of CommerceHarbin 150028China

Predicting the activity of solar flares is of great significance for studying its physical mechanism and the impact on human production and *** such as class imbalance,high time-series sensitivity,and over-localization of important features exist in the sample data used for flare *** design a solar flare fusion method based on resampling and the CNN-GRU algorithm to try to solve the above *** order to verify the effectiveness of this fusion method,first,we compared the forecast performance of different resampling methods by keeping the forecast model ***,we used the resampling algorithm with high performance to combine some single forecast models and fusion forecast models *** use the 2010-2017 sunspot data set to train and test the performance of the flare model in predicting flare events in the next 48 *** the conclusion of the above steps,we prove that the resampling method SMOTE and its variant SMOTE-ENN are more advantageous in class imbalance problem of flare *** addition,after the fusion of one-dimensional convolution and recurrent network with"forget-gate",combined with the SMOTE-ENN to achieve TSS=61%,HSS=61%,TP_(Rate)=77%and TN_(Rate)=83%.This proves that the fusion model based on resampling and the CNN-GRU algorithm is more suitable for solar flare forecasting.

关键词： (Sun:)sunspots Sun:flares Sun:X-rays gamma-rays Sun:magnetic fields Sun:corona

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A Very-Short-Term Online PV Power Prediction Model Based on RAN With Secondary Dynamic Adjustment

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第5期4卷 1214-1224页

作者： Zhang, Tengfei Ma, Fumin Peng, Chen Yu, Yang Yue, Dong Dou, Chunxia O'Hare, Gregory M. P. Nanjing University of Posts and Telecommunications College of Automation College of Artificial Intelligence The Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network Nanjing210023 China Nanjing University of Finance and Economics College of Information Engineering Nanjing210023 China Shanghai University School of Mechatronic Engineering and Automation Shanghai200072 China Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing210023 China Trinity College Dublin School of Computer Science and Statistics Dublin 2 Ireland

Photovoltaic (PV) power is progressively being subsumed into power grids. As a consequence, reliable PV power forecasting has become essential in order to ensure the optimal functioning of the power grid. Neural networks remain the dominant prediction model utilized. Conventional neural network forecasting models are wholly dependent upon offline data. Subsequent to offline training, no further structural adjustments can be made during the forecasting process, which therefore they fail to cater for PV power supply fluctuations that are fundamentally dynamic. To address this failing, this article proposes a very-short-term online prediction model based on a resource-allocating network (RAN) incorporating a secondary dynamic adjustment. The RAN is initially trained offline to obtain a basic forecasting model. Thereafter, in an online prediction process, those samples with large prediction errors that exceed a preset value are recorded in a specific buffer. When the set conditions are triggered, the secondary dynamic adjustment strategy is employed, which enables the online prediction model to effectively relearn previously unmodeled samples while shielding external interference. Experimental results obtained from actual testing demonstrate the validity of the secondary dynamic adjustment strategy for online learning while also providing higher accuracy levels from the prediction model. © 2020 IEEE.

关键词： Forecasting

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Event-Triggered Adaptive Consensus Tracking Control of Uncertain Nonlinear Multi-agent Systems with Uniformly Positive Inter-Event Times 1

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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Wu, Xiangkai Liu, Yuxiao Long, Jiang Wang, Wei School of Automation Science and Electrical Engineering Beihang University Beijing100191 China School of Computer Science Northwestern Polytechnical University Shaanxi Xi’an710072 China Zhongguancun Laboratory Beijing100191 China

ISBN: (数字)9789819733408

ISBN: (纸本)9789819733392

In this paper, asymptotical consensus tracking control problem is considered for a class of uncertain nonlinear multi-agent systems under directed graph with event-triggered communication. In this work, the main challenge is to handle cross-coupling term associated with unknown parameters of all agents and asymmetric Laplacian matrix when the Lyapunov function candidate is selected in terms of local consensus errors. This leads to the difficulty in designing distributed asymptotical control laws which can guarantee a positive minimum inter-event time for each agent with event-triggered communication. To handle this issue, an event-triggered based control scheme is proposed by applying adaptive immersion & invariance control and concurrent learning adaptive control. We prove that all closed-loop signals are uniformly bounded, and all agents’ states can exponentially track the desired trajectory. Moreover, the inter-event times of all agents are uniformly lower bounded by a positive constant. Finally, an illustrative example is given to validate the effectiveness of the proposed control scheme. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Multi agent systems

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