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11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Huang, Ling Mei, Tan College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou730050 China Key Lab of Advanced Control for Industrial Process in Gansu Province Lanzhou University of Technology Lanzhou730050 China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou730050 China

ISBN: (纸本)9789819788279

Aiming at the single-view angle through-wall radar in the process of human behavior recognition there is a viewpoint blind area, resulting in the inability to accurately identify the movement state of the human target behind the wall. In this paper, based on the multi-view through-wall radar system, a multi-view through-wall human behavior recognition method based on attention fusion is proposed. Firstly, the features of the radar distance image are enhanced by the method of clutter suppression and compensated gain to, and the dataset is constructed in this way. Secondly, we use the improved DenseNet to extract features from the distance image data of the two viewpoints, and finally, we use the attention mechanism to calculate the weight information of the radar echo signals of the two viewpoints, and then we fuse the two action feature information according to this weight data, and input the classifier to get the behavior recognition results. The experimental results show that the behavior recognition method proposed in this paper achieves better results compared with the existing behavior recognition methods. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Radar imaging

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Hybrid algorithm of invasive weeds and particle swarm optimization 9

Hybrid algorithm of invasive weeds and particle swarm optimi...

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9th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2023

作者： Du, Xianjun Li, Zhuohang Lanzhou Univ. of Tech College of Electrical Engineering and Information Engineering Lanzhou730050 China Lanzhou Univ. of Tech Key Laboratory of Gansu Advanced Control for Industrial Process Lanzhou730050 China

ISBN: (纸本)9798350304428

Aiming at the disadvantages of low optimization accuracy and easy to fall into local optimum of particle swarm optimization algorithm, a hybrid algorithm combining the invasive weed algorithm and particle swarm optimization algorithm is proposed. The main structure of the hybrid algorithm is PSO, and IWO makes the algorithm avoid falling into local optimum. The simulation test is carried out with 11 benchmark test functions, and through comparison with the other two improved PSO algorithms, it is concluded that the hybrid algorithm in this paper is not easy to fall into local optimization and has high optimization accuracy. © 2023 IEEE.

关键词： Particle swarm optimization (PSO)

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RBFNN-Based ADRC Design for Continuous-Time Systems with Unknown Nonlinear Dynamics Subject to Time-Varying Disturbance 42

RBFNN-Based ADRC Design for Continuous-Time Systems with Unk...

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42nd Chinese control Conference, CCC 2023

作者： Yan, Shuai Hao, Shoulin Yu, Haichen Liu, Tao Yan, Bin Gong, Yihui Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Institute of Advanced Control Technology Dalian University of Technology Dalian116024 China

ISBN: (纸本)9789887581543

In this paper, a radial basis function neural network (RBFNN) based active disturbance rejection control (ADRC) scheme is proposed for continuous-time systems with unknown nonlinear dynamics and time-varying disturbance. By using RBFNN to online approximate the unknown nonlinear dynamics, a novel nonlinear extended state observer (ESO) is firstly designed to estimate the total disturbance consisting of time-varying external disturbance and RBFNN approximation error. Then, an anti-disturbance feedback control law together with a tracking differentiator is designed to counteract the total disturbance in a feedforward manner. The bounded convergence of the closed-loop system and ESO as well as the estimation errors of the weighting vector are rigorously analyzed based on the Lyapunov stability theory. A case study is carried out to demonstrate the effectiveness and merit of the proposed design, in contrast to the conventional ADRC. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Continuous time systems

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Fault-Tolerant/Intrusion-Tolerant control of Island AC Microgrid System 3

Fault-Tolerant/Intrusion-Tolerant Control of Island AC Micro...

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2020 3rd International Symposium on Power Electronics and control Engineering, ISPECE 2020

作者： Jun, Wang Bingqiang, Wang Tian, Feng College of Electrical and Information Engineering Lanzhou Univ. of Tech. Lanzhou730050 China Key Lab of Advanced Control for Industrial Process in Gansu Province Lanzhou730050 China Key Lab of Advanced Control for Industrial Process in Gansu Province Lanzhou730050 China

Aiming at arbitrary failures of actuators and network attacks, the design problems of passive fault-tolerant/intrusion-tolerant robust H∞ controllers for island AC microgrid inverter systems are studied. The controller has a good ability to suppress external limited energy disturbances. First, a closed-loop system model including actuator failure was established;then, the network attack on the actuator is described as a special external interference to design a H∞ robust passive fault-tolerant/intrusion-tolerant controller, and the Lyapunov equation and linear matrix inequality are used to obtain sufficient conditions for the progressive stability of the closed-loop fault system. Finally, the feasibility and effectiveness of the designed control law are verified through MATlab simulation. © Published under licence by IOP Publishing Ltd.

关键词： Actuators

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In-situ forming ultra-mechanically sensitive materials for high-sensitivity stretchable fiber strain sensors

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National Science Review 2024年第6期11卷 254-263页

作者： Rouhui Yu Changxian Wang Xiangheng Du Xiaowen Bai Yongzhong Tong Huifang Chen Xuemei Sun Jing Yang Naoji Matsuhisa Huisheng Peng Meifang Zhu Shaowu Pan State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University MOE Key Lab of Disaster Forecast and Control in Engineering School of Mechanics and Construction Engineering Jinan University State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Institute of Fiber Materials and Devices Fudan University Department of Cardiology Shanghai Xuhui Central HospitalZhongshan-Xuhui Hospital Fudan University Research Center for Advanced Science and Technology and Institute of Industrial Science The University of Tokyo

Fiber electronics with flexible and weavable features can be easily integrated into textiles for wearable applications. However, due to small sizes and curved surfaces of fiber materials, it remains challenging to load robust active layers, thus hindering production of high-sensitivity fiber strain sensors. Herein, functional sensing materials are firmly anchored on the fiber surface in-situ through a hydrolytic condensation *** anchoring sensing layer with robust interfacial adhesion is ultra-mechanically sensitive, which significantly improves the sensitivity of strain sensors due to the easy generation of microcracks during stretching. The resulting stretchable fiber sensors simultaneously possess an ultra-low strain detection limit of 0.05%, a high stretchability of 100%, and a high gauge factor of 433.6, giving 254-folds enhancement in sensitivity. Additionally, these fiber sensors are soft and lightweight, enabling them to be attached onto skin or woven into clothes for recording physiological signals, e.g. pulse wave velocity has been effectively obtained by them. As a demonstration, a fiber sensor-based wearable smart healthcare system is designed to monitor and transmit health status for timely intervention. This work presents an effective strategy for developing high-performance fiber strain sensors as well as other stretchable electronic devices.

关键词： fiber strain sensor stretchable wearable healthcare

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PI-Based Set-Point Learning control for Batch processes with Unknown Dynamics and Nonrepetitive Uncertainties

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IEEE Transactions on Automatic control 2024年第6期70卷 3649-3664页

作者： Hao, Shoulin Liu, Tao Rogers, Eric Wang, Youqing Paszke, Wojciech Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Eduction The Institute of Advanced Measurement and Control Technology Dalian116024 China Beijing University of Chemical Technology College of Information Science and Technology Beijing100029 China University of Zielona Góra Institute of Automation Electronic and Electrical Engineering Zielona Góra65-246 Poland

For industrial batch processes with unknown dynamics subject to nonrepetitive initial conditions and disturbances, this paper develops a novel adaptive data-driven set-point learning control (ADDSPLC) scheme based on only the measured process input and output data, which has two loops, one for the dynamics within a batch and the other for the batch-to-batch dynamics. In the former case, a model-free tuning strategy is firstly presented for determining the closed-loop PI controller parameters. For the latter case, a set-point learning control law with adaptive set-point learning gain and gradient estimation is developed for batch run optimization. Robust convergence of the output tracking error is rigorously analyzed together with the boundedness of adaptive learning gain and real-time updated set-point command. Moreover, another iterative extended state observer based (ADDSPLC) scheme is developed with rigorous convergence and boundedness analysis, to enhance the robust tracking performance against nonrepetitive uncertainties. Finally, two illustrative examples from the literature are used to demonstrate the effectiveness and superiority of the new schemes over the recently developed data-driven learning control designs. © 1963-2012 IEEE.

关键词： Batch data processing

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Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances 41

Robust PD-type iterative learning control design for uncerta...

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第41届中国控制会议

作者： Robert Maniarski Wojciech Paszke Shoulin Hao Hongfeng Tao Institute of Automation Electronic and Electrical EngineeringUniversity of Zielona Góra Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive *** means of two-dimensional/repetitive setting,the sufficient conditions for batch-to-batch error convergence and H disturbance attenuation are formulated and ***,the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix *** proposed control law is able to fulfil the imposed design specifications,i.e.,they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive *** illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.

关键词： iterative learning control repetitive processes batch processes robust control nonrepetitive disturbances

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ESO-Based Data Driven Set-Point Learning control for Nonlinear batch processes with PD-Type Feedback control Structure Subject to Nonrepetitive Uncertainties* 13

ESO-Based Data Driven Set-Point Learning Control for Nonline...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Ahmad, Naseem Hao, Shoulin Liu, Tao Gong, Yihui Zhang, Jiyan Wang, Haixia Zhu, Yong Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Institute of Advanced Control Technology Dalian University of Technology Dalian116024 China School of Biomedical Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9798350361674

In this paper, an extended state observer (ESO) based data-driven set-point learning control (DDSPLC) scheme is proposed for nonlinear batch processes configured with an inherent PD-type control loop, so as to actively suppress the adverse effect of nonrepetitive external disturbances and nonidentical initial resetting conditions, by only utilizing the available process input/output data. The controlled process is firstly reformulated as an iterative dynamic linearization data model (IDLDM) with an extra generalized disturbance, where the unknown pseudo partial derivative and the generalized disturbance are, respectively, estimated by a projection-like algorithm and iterative ESO along the batch direction. By virtue of the estimated PPD and generalized disturbance, a set-point learning updating law with adaptive learning gain is then developed to optimize the tracking performance from batch-to-batch, by tuning the set-point command of the closed-loop PD-type control. Robust convergence analysis for the established closed-loop learning system is analyzed rigorously. The effectiveness and superiority of the proposed scheme are verified by an illustrative example. © 2024 IEEE.

关键词： State estimation

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Mitigating household air pollution exposure through kitchen renovation

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Environmental Science and Ecotechnology 2025年第1期23卷 175-182页

作者： Yatai Men Ke Jiang Yaoji Li Ran Xing Zhihan Luo Tianyao Huang Shuyu Ou'yang Wei Du Yuanchen Chen Guofeng Shen MOE Key Lab for Earth Surface Process College of Urban and Environmental SciencesPeking UniversityBeijing100871China Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science&EngineeringKunming University of Science&TechnologyKunming650500China Southwest United Graduate School Kunming650092China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Research Center of Environmental ScienceZhejiang University of TechnologyHangzhou310032China Institute of Carbon Neutrality Peking UniversityBeijing100871China

Globally,over three billion people rely on traditional solid fuels for cooking and heating,leading to significant household air pollution and critical public health *** transitioning to clean energy carriers faces challenges of accessibility and affordabilitydespecially among low-income,rural populationsdalternative strategies like kitchen layout modifications and the use of ventilation fans may effectively reduce exposure to ***,we analyze factors influencing the adoption of separated kitchens and mechanical ventilation and evaluate changes in human exposure to PM2.5 under different kitchen renovation scenarios by conducting a nationwide survey of household kitchen characteristics in rural *** found that although 82%of rural households have kitchens separated from other rooms,only 34%use mechanical *** adoption of ventilation fans is significantly influenced by income and education *** estimate that widespread implementation of ventilation fans and separated kitchen designs could prevent approximately 67400 premature deaths annually,resulting in a health benefit of about USD 19 billion per yeardsubstantially exceeding the costs *** findings suggest that cost-effective kitchen renovations offer enormous potential for substantial health benefits and present a practical solution compared to the challenges of clean energy transitions in rural areas.

关键词： Separating kitchen Mechanical ventilation Household air pollution Health benefits

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Stabilization of switched systems with unstable modes via mode-partition-dependent ADT

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Journal of the Franklin Institute 2023年第2期360卷 1308-1326页

作者： Jin, Cui-Li Wang, Qing-Guo Wang, Rui Wu, Di Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and School of Control Science and Engineering Dalian University of Technology Dalian116024 China Institute of Artificial Intelligence and Future Networks Beijing Normal University at ZhuhaiGuangdong Key Lab of AI and Multi-Modal Data Processing BNU-HKBU United International College Zhuhai519087 China Key Laboratory of Advanced Technology for Aerospace Vehicles Liaoning Province and School of Aeronautics and Astronautics Dalian University of Technology Dalian116024 China

This paper concerns the stability of switched systems orchestrating between unstable modes. First, a mode partition is applied to select stabilizing switching from the switching between modes from different subsets. Second, a piecewise Lyapunov-like function is applied to decline at stabilizing switching times. Then, the stability criteria build on mode-partition-dependent average dwell time by collecting enough stabilizing switching behavior to stabilize the destabilizing switching behavior and unstable modes. Finally, the simulation verification shows the feasibility and effectiveness of the method. © 2022 The Franklin Institute

关键词： Stability criteria

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