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Some Characterizations of the Quasi-Projection Pair

BULLETIN OF THE IRANIAN MATHEMATICAL SOCIETY 2025年第2期51卷 1-26页

作者： Li, Xiaohui Deng, Chunyuan Deng, Xindi South China Normal Univ Sch Math Sci Guangzhou 510631 Peoples R China South China Univ Technol Sch Automat Sci & Engn Key Lab Autonomous Syst & Network Control Minist Educ Guangzhou 510641 Peoples R China

The goal of this article is to study the properties of the quasi-projection pair (P, Q) with projection P and idempotent Q defined on a Hilbert space. We present characterizations of quasi-projection pairs in terms of spectrum, Hilbert space decomposition and norm inequalities. To this end a matrix representation of a quasi-projection pair with respect to their ranges is described.

关键词： Projection Idempotent Spectrum Quasi-projection pair

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Cooperative Spacing control of Vehicle Platoon via Relative Output Feedback Considering Analog Fading networks

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2025年第3期35卷 909-923页

作者： Shen, Zhiping Guo, Huarui Liu, Yonggui Li, Zeming Wu, Yilin Henan Normal Univ Sch Math & Informat Sci Xinxiang Peoples R China South China Univ Technol Sch Automat Sci & Engn Key Lab Autonomous Syst & Network Control Minist Educ Guangzhou Peoples R China Guangdong Univ Educ Dept Comp Sci Guangzhou Peoples R China

The influence of analog fading channels on platoon control performance is studied via relative output feedback. The main goal is to determine the existence of a distributed output feedback controller capable of achieving mean square stability (MSS) for the underlying vehicle platoon systems over analog fading channels. First, the conditions, closely associated with the statistical characteristics of fading channels, for achieving platoon MSS are derived for three cases: undirected information flow (UIF) topology with identical fading channels, balanced directed information flow (BDIF) topology with identical fading channels, and general information flow topology (IFT) with nonidentical fading channels, respectively. These conditions explicitly reveal how the statistical characteristics of fading channels and IFT jointly affect vehicular stability. Second, in order to mitigate the impact of fading channels on platoon MSS, some feasible dynamic observer-based controllers by using the relative output feedback, are proposed for each one of the former two situations by solving the corresponding modified Riccati inequalities (MRIs);and in the last situation, by employing edge Laplacian to model the vehicle platoon dynamics, a sufficient condition based on the solution of an LMI, and a feasible state-based controller based on the solution of an MRI, are provided. Finally, simulations are carried out to compare three distinct fading channels, namely the Nakagami channel, Rician channel, and Rayleigh channel. The outcomes substantiate the superior and effective performance of the implemented control methods in guaranteeing the platoon MSS.

关键词： analog fading networks mean square stability vehicle platoon

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Enhanced prediction for battery aging capacity using an efficient temporal convolutional network

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ENERGY 2025年 320卷

作者： Zhao, Xinwei Liu, Yonggui Xiao, Bin South China Univ Technol Sch Automat Sci & Engn Key Lab Autonomous Syst & Network Control Minist Educ Guangzhou 510641 Peoples R China Guangzhou Vocat Coll Technol & Business Informat Engn Sch Guangzhou 511442 Peoples R China Guangdong Univ Technol Sch Comp Sci & Technol Guangzhou 510006 Peoples R China

For electric vehicles (EVs), reliable prediction of battery aging capacity is crucial to guarantee the driving safety. However, advanced prediction methods incur more energy consumption because of their substantial computation requirements. Consequently, a compact and accurate prediction model is urgently needed. To this end, we propose an efficient prediction model that simultaneously achieves the dual goals of reducing the computational burden and improving the accuracy of its predictions. From the extensive real-vehicle data, the charging hot-spot ranges are divided to establish a reliable foundation for screening high-quality and low-quantity data. Based on the screened data, a seasonal-trend decomposition algorithm and an independent feature analysis are presented to reveal significant features associated with aging capacity. Subsequently, we combine the advantage of the decomposition method and a temporal convolutional network (DMTCN) to predict the battery aging capacity with satisfactory accuracy in the near future. Furthermore, a particular decoupling mechanism is proposed to rectify the analytical interference and misinformation caused by the mixing of data. The experimental results demonstrate that the computational burden of the proposed DMTCN model is obviously reduced using this mechanism, while the prediction accuracy is further enhanced. We are delighted that this new attempt has achieved the impressive results.

关键词： Lithium-ion battery Capacity prediction Series decomposition Convolutional neural network Efficient calculation

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Stability of connected vehicle systems over analog fading networks

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ISA TRANSACTIONS 2025年 159卷 138-151页

作者： Shen, Zhiping Liu, Yonggui Li, Zeming Wu, Yilin Henan Normal Univ Sch Math & Informat Sci Henan Engn Lab Big Data Stat Anal & Optimal Contro Xinxiang 453007 Henan Peoples R China South China Univ Technol Sch Automat Sci & Engn Key Lab Autonomous Syst & Network Control Guangzhou 510641 Peoples R China Guangdong Univ Educ Dept Comp Sci Guangzhou 510310 Guangdong Peoples R China

The influence of inter-vehicular communication on platoon control performance is studied by modeling the communication channel as an analog fading channel. First, the conditions for achieving platoon mean square stability (MSS) are derived for three cases: undirected information flow (UIF) topology with identical fading channels, balanced directed information flow (BDIF) topology with identical fading channels, and general information flow topology with non-identical fading channels. Second, in order to mitigate the impact of fading channels on platoon MSS, some feasible controllers are proposed for each one of the three cases by solving the corresponding modified Riccati inequalities (MRIs). Finally, simulations are conducted to compare three different fading channels (Nakagami channel, Rician channel and Rayleigh channel), and the results verify the superiority and effectiveness of the provided control methods in ensuring the platoon MSS. Both theoretical analysis and simulation results demonstrate that the influence of fading channels on platoon MSS is determined by the statistics of fading channels, and the designed controllers can suppress the impact of fading channels on the stability of vehicle platoon.

关键词： Analog fading networks Mean square stability Vehicle platoon

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The stability for CACC system with time delays and reconstitution information of vehicles for compensating delays based on Bi-LSTM

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VEHICULAR COMMUNICATIONS 2025年 51卷

作者： Zhang, Chenmin Liu, Yonggui Li, Zeming South China Univ Technol Sch Automat Sci & Engn Key Lab Autonomous Syst & Network Control Minist Educ Guangzhou 510641 Peoples R China

The vehicle platoon using the cooperative adaptive cruise control (CACC) transmits information between vehicles via communication networks to increase the control performance. However, time delays are inevitable during the network transmission of information, which influence the stability of the CACC vehicle system. This paper proposes a method for compensating information affected by time delays based on a Bi-LSTM model. First, the third-order dynamics of the CACC vehicle systems are established, and the control strategies are proposed with the leading, preceding and following vehicles. The conditions of local stability and string stability for the CACC vehicle systems without time delays are derived based on the Routh-Hurwitz stability criterion and the frequency domain methods, which reveal the relationship between the model parameters and the controller parameters. For the CACC vehicle systems with time delays, the maximum time delays that ensure the local stability and string stability are achieved using the similar methods accordingly. However, the stability of the CACC vehicle systems is destroyed, when the time delay exceeds the maximum value. To deal with the impact of time delays, the bidirectional long short term memory (Bi-LSTM) model is adopted to predict and reconstitute the information affected by time delays. Furthermore, the relevant parameters are set and the real vehicle data is used for calculation and simulation. The simulation results confirm the local and string stability can be ensured, and further show the boundary of the maximum time delay may reach 0.45s for the CACC vehicle systems in this paper. In order to highlight superiority of Bi-LSTM, by comparing LSTM and KF with BiLSTM, the simulation results show Bi-LSTM has the highest correlation coefficient and the smallest root mean square error, which verify that Bi-LSTM reconstructing information affected by time delays is more effective than KF and LSTM.

关键词： CACC vehicle system Local and string stability Time delays Bi-LSTM model

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A Deblurring Methodology for Motion-Blurred X-ray Images of Transmission Line Tension Clamps

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ELECTRICAL ENGINEERING 2025年 1-16页

作者： Du, Qiliang Lin, Jiashuo Qu, Fengrui Tian, Lianfang South China Univ Technol Sch Automat Sci & Engn Guangzhou 510641 Guangdong Peoples R China Sino Singapore Int Joint Res Inst Guangzhou 510555 Guangdong Peoples R China Guangdong Engn Res Ctr Cloud Edge End Collaborat T Guangzhou 510640 Guangdong Peoples R China South China Univ Technol Key Lab Autonomous Syst & Network Control Minist Educ Guangzhou 510641 Guangdong Peoples R China

Tension clamps, which are integral components of transmission lines, require regular inspection for defects. Compared with conventional approaches, the drone equipped with X-ray inspection equipment provides a better solution for evaluating the internal state of tension clamps. However, the motion-blur resulting from vibrations of drone can adversely affect subsequent defect detection, highlighting the importance of deblurring processes. In this paper, we present a methodology for motion deblurring of X-ray images of the tension clamps. Initially, the Object Detection network is employed to discern and isolate regions corresponding to tension clamps. Subsequently, we introduce the conditional cropping strategy to improve the network's ability to extract blur information from more valid parts of the image. In terms of network module improvement, we introduce the DSKconv/DSCKconv to significantly enhance the network's capability to comprehend image content. Our deblurring methodology attains PSNR and SSIM of 29.4071 and 0.8514 respectively in deblurring quality, and can achieve 57.667G FLOPs and 18.968M Params in terms of computational efficiency. Corresponding datasets are created for both the Object Detection network and the Deblurring networks. We provide an excellent motion deblurring solution for X-ray images of tension clamps taken by drones.

关键词： Tension clamps X-ray images Motion-blurred Deblurring network

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Synchronized Collaboration of Distributed Multiple Robotic Arms via State-Coupled Neural network

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2025年第1期21卷 376-385页

作者： Li, Xingru Zhang, Zhijun Zhang, Mingyang Ren, Xiaohui Luo, Yamei South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Peoples R China South China Univ Technol Sch Automat Sci & Engn Minist Educ Key Lib Autonomous Syst & Network Control Guangzhou 510640 Peoples R China Inst Super Robot Huangpu Guangzhou 510555 Peoples R China Nanchang Univ Jiangxi Thousand Talents Plan Nanchang 330031 Peoples R China Jishou Univ Coll Comp Sci & Engn Jishou 416000 Peoples R China Guangdong Artificial Intelligence & Digital Econ L Pazhou Lab Guangzhou 510335 Peoples R China Shaanxi Univ Technol Sch Mech Engn Shaanxi Prov Key Lab Ind Automat Hanzhong 723001 Peoples R China Changsha Normal Univ Sch Informat Sci & Engn Sch Automat Sci & Engn Changsha 410100 Peoples R China Guangdong Univ Petrochem Technol Inst Artificial Intelligence & Automat Maoming 525000 Peoples R China

In this article, a state-coupled neural network (SDNN) is proposed to solve the distributed multiple robotic arms (DMRAs) synchronous collaboration problem. The synchronized collaboration of DMRAs is not only in the Cartesian space of the end-effector but also in the corresponding joint velocity space to keep the joint velocity synchronized. First, the constraints for motion generation of leader and follower robots are obtained based on the desired trajectory and communication topology, respectively. Then, the DMRAs collaboration is transformed into quadratic programming based on the minimum velocity norm index. Second, a novel SDNN is designed based on the communication topology of the DMRAs to solve the quadratic programming problem, and the stability of the SDNN is proved by the Lyapunov method. Finally, simulations and experiments demonstrate that SDNN can solve the synchronized collaboration problem of DMRAs with unique advantages.

关键词： Distributed system multiple robotic arms state-coupled neural network (SDNN) synchronized collaboration Distributed system multiple robotic arms state-coupled neural network (SDNN) synchronized collaboration

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Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1080-1099页

作者： Mai, Weijian Zhang, Jian Fang, Pengfei Zhang, Zhijun South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Southeast University School of Computer Science and Engineering Nanjing210096 China South China University of Technology Key Library of Autonomous Systems and Network Control Ministry of Education The School of Automation Science and Engineering Guangzhou510640 China Institute for Super Robotics Huangpu Guangzhou510555 China Nanchang University Jiangxi Thousand Talents Plan Nanchang330031 China Jishou University College of Computer Science and Engineering Jishou416000 China Guangdong Artificial Intelligence and Digital Economy Laboratory Pazhou Lab Guangzhou510335 China Shaanxi University of Technology Shaanxi Provincial Key Laboratory of Industrial Automation School of Mechanical Engineering Hanzhong723001 China Changsha Normal University School of Information Science and Engineering Changsha410100 China Guangdong University of Petrochemical Technology School of Automation Science and Engineering Institute of Artificial Intelligence and Automation Maoming525000 China

In the era of artificial intelligence generated content (AIGC), conditional multimodal synthesis technologies (e.g., text-to-image) are dynamically reshaping the natural content. Brain signals, serving as potential reflections of how the brain interprets external information, exhibit a distinctive one-to-many correspondence with various external modalities. This correspondence makes brain signals emerge as a promising guiding condition for multimodal synthesis (e.g., image, text, and audio), which is crucial for developing practical brain–computer interface systems and unraveling complex mechanisms underlying human perception. This survey comprehensively examines the emerging field of brain-conditional multimodal synthesis, termed AIGC-brain, to delineate the current landscape and future directions. To begin, related neuroimaging datasets and generative models are introduced as the foundation of AIGC-brain decoding and analysis. Next, we present a comprehensive taxonomy according to AIGC-brain methodologies, followed by task-specific representative work and implementation details to facilitate in-depth comparison and analysis. Quality assessments are then introduced for both qualitative and quantitative evaluation. Finally, this survey explores insights gained, outlining current challenges and prospects of AIGC-brain. As a pioneering survey, this article paves the way for future advances in AIGC-brain research. © 2020 IEEE.

关键词： Taxonomies

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Readers, Writers, Reviewers, and Editors

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IEEE TRANSACTIONS ON SOFTWARE ENGINEERING 2010年第2期36卷 145-146页

作者： Nuseibeh, Bashar Key Laboratory of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou China

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Task-space Hybrid Motion/Force control of Bilateral Teleoperation with Unsymmetrical Time-varying Delays 33

Task-space Hybrid Motion/Force Control of Bilateral Teleoper...

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第三十三届中国控制会议

作者： WANG Dehong LI Zhijun SU Chun-Yi The Key Lab of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology

ISBN: (纸本)9781479947249

The control of bilateral teleoperators is challenging due to the complexity of their nonlinear dynamics, the time delays in the communications as well as the wide range of practical real applications. In this paper, operational space adaptive control of hybrid motion/force synchronization is proposed for bilateral networked teleoperation system with asymmetric timevarying delays in communication channels. The adaptive control with parameter update mechanism is developed to deal with the different kinematics, dynamics uncertainties and external disturbances for the master robot and the slave robot. The system stability is rigorously proved using Lyapunov stability synthesis. The proposed adaptive control is robust against relative motion disturbances, parametric uncertainties and time delay, which is validated by extensive simulation studies.

关键词： Bilateral teleoperators,hybrid motion/force synchronization,asymmetric time-varying delays.

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