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Data Driven control and Learning Systems (DDCLS)

作者： Tingyu Zhang Yongshuai Wang Mingwei Sun Mingrui Hao Zengqiang Chen College of Artificial Intelligence Nankai University Tianjin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This paper presented an adaptive gain scheduling algorithm for hypersonic vehicles with wide envelopes. First, the linear parameter variable parameter (LPV) model of hypersonic vehicles is established in the flight envelope. Then, the active disturbance rejection controller is considered to cope with disturbances and uncertainties, and the control gain is scheduled using the guardian maps method to adapt to the wide envelope of velocity and height. Finally, numerical simulation results show good control performance and meet the required performance indexes in all operating conditions, demonstrating the effectiveness and robustness of the proposed method.

关键词： Uncertainty PI control Scheduling algorithms Atmospheric modeling Numerical simulation Scheduling Robustness

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Distributed Formation Tracking control and Collision Avoidance with Formation Transformation for Fixed-Wing UAV Swarm 43

Distributed Formation Tracking Control and Collision Avoidan...

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43rd Chinese control Conference, CCC 2024

作者： Yao, Bingchang Liu, Yishi Liu, Yumeng Dong, Xiwang Tan, Qingke Lv, Rui Liang, Zhuo Beihang University Beijing100191 China Institute of Software Chinese Academy of Sciences China School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Institute of Unmanned System Beihang University Beijing100191 China China Academy of Launch Vehicle Technology China

ISBN: (纸本)9789887581581

This article proposes a distributed consensus-based formation tracking and dynamic obstacle avoidance method for fixed wing unmanned aerial vehicles (UAVs). The tracking target moves along a pre-set geometric path, while other UAVs automatically track the target to form various distributed formation shapes and always perform dynamic collision avoidance. The fixed wing UAVs in this article form a distributed formation based on information exchange between neighbors, and further the formation process is improved by incorporating position allocation into the formation transformation. Firstly, the fixed wing UAV is modeled and simplified. Secondly, a basic formation control protocol is designed based on consensus strategy, and a tracking target feedback is added on it. Then, an anti-collision controller and a variable formation position allocation strategy are designed to avoid the collision. Finally, the effectiveness of the presented method is verified through numerical simulations. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Unmanned aerial vehicles (UAV)

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Lightweight Vision Transformer for Small Data Sets 38

Lightweight Vision Transformer for Small Data Sets

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38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Fang, Wenxing Su, Yanxu Institutes of Physical Science and Information Technology Anhui University Hefei China School of Artificial Intelligence Anhui University Hefei230601 China Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9798350303636

With the rapid development of Transformers in the field of computer vision, models based on Transformers have become highly competitive architectures in the area. Although variants of Transformer models have achieved increasing accuracy on image classification tasks, the size of the training set and the number of parameters required by the models have increased dramatically. When dealing with small datasets, such models face problems such as overfitting and undergeneralization, leading to poor accuracy on the test set. We propose a new lightweight vision transformer (LVT) to address these issues. We reconstructed the backbone network, which learns the relationship between pixels through local window self-attention and global self-attention computation. We also use the attention pooling approach to fuse the token sequences generated by the backbone network more meticulously. We trained on the CIFAR-10 and CIFAR-100 datasets from scratch and compared them with a modern convolutional neural network. The experimental results show that LVT outperforms the modern convolutional neural network in terms of accuracy and efficiency. On the test set of CIFAR-10, we have obtained an accuracy of 96.83%, which indicates that our model can effectively solve the problems facing the training of small datasets and has a wide range of application prospects. © 2023 IEEE.

关键词： lightweight pooling self-attention windows

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Encrypted Finite-Horizon Energy-to-Peak State Estimation for Time-Varying Systems Under Eavesdropping Attacks: Tackling Secrecy Capacity

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 985-996页

作者： Lei Zou Zidong Wang Bo Shen Hongli Dong Guoping Lu College of Information Science and Technology Donghua UniversityShanghai 201620 Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Department of Computer Science Brunel University LondonUxbridgeMiddlesex UB83PHUK Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum UniversityDaqing 163318 Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya 572024China School of Electrical Engineering Nantong UniversityNantong 226019China

This paper is concerned with the problem of finitehorizon energy-to-peak state estimation for a class of networked linear time-varying *** to the inherent vulnerability of network-based communication,the measurement signals transmitted over a communication network might be intercepted by potential *** avoid information leakage,by resorting to an artificial-noise-assisted method,we develop a novel encryption-decryption scheme to ensure that the transmitted signal is composed of the raw measurement and an artificial-noise term.A special evaluation index named secrecy capacity is employed to assess the information security of signal transmissions under the developed encryption-decryption *** purpose of the addressed problem is to design an encryptiondecryption scheme and a state estimator such that:1)the desired secrecy capacity is ensured;and 2)the required finite-horizon–l_(2)-l_(∞)performance is *** conditions are established on the existence of the encryption-decryption mechanism and the finite-horizon state ***,simulation results are proposed to show the effectiveness of our proposed encryption-decryption-based state estimation scheme.

关键词： Artificial-noise-assisted technique eavesdropping encryption-decryption scheme energy-to-peak state estimation finitehorizon state estimation

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A Novel Two-Stream Model for Human Motor Characteristics Learning

A Novel Two-Stream Model for Human Motor Characteristics Lea...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Xiang, Tian-Yu Zhou, Xiao-Hu Xie, Xiao-Liang Liu, Shi-Qi Yang, Hong-Jun Feng, Zhen-Qiu Hao, Jian-Long Hou, Zeng-Guang Institute of Automation The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China The School of Information Shanxi University of Finance and Economics Taiyuan030006 China The CAS Center for Excellence in Brain Science and Intelligence Technology Beijing100190 China Institute of Systems Engineering Macau University of Science and Technology The Joint Laboratory of Intelligence Science and Technology Taipa China

ISBN: (纸本)9781665481090

Electroencephalogram (EEG) is one of the most pop-ular sources for learning human motor characteristics. However, most current methods only consider its temporal features and overlook spatial information. This paper proposes a novel two-stream model based on spatial and temporal features to learn human motor characteristics from EEG signals. The spatial stream is analyzed by graph neural networks (GNN) to extract the relationship among different channels. Adjacent matrices can be learned through the training process, unlike pre-defined ones used in other GNN-based EEG analysis methods. The temporal stream is processed with mixed convolution structures, which consist ID convolution, depthwise convolution, and separable convolution. The features of two streams are fused with fully-connected neural networks for human motor characteristics learning. Experimental results show the proposed model can achieve the accuracy of 0.684/0.709 (four classes motor imagery) in subject-independent/dependent schemes, demonstrating the promising for it used in brain computer interface (BCI) scenarios. © 2022 IEEE.

关键词： Convolution

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Millimeter-Wave Full-Duplex Phased Array RF Self-Interference Cancellation technology

Millimeter-Wave Full-Duplex Phased Array RF Self-Interferenc...

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IEEE International Conference on Communications Workshops, ICC

作者： Yang Li Wensheng Pan Gezu Jiwu Chengzhe Shi Nanzhou Hu Shihai Shao National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

In the integrated access and backhaul (IAB) base stations, a model of large-scale antenna arrays is established to address the problem of radio frequency self-interference cancellation (RFSIC) in millimeter-wave (mmW) full-duplex (FD) systems. The characteristics of the SI under the condition of separating the receiving and transmitting antenna arrays are analyzed. This paper simplifies the RFSIC model using the equivalent delay method, while an RFSIC model applicable to the received beamforming synthesis is proposed. The RFSIC performance under different tap numbers is also compared by simulation experiments. The simulation results show that the RFSIC ability of the 16 taps is greater than 50 dB for the SI with a carrier frequency of 26.5 GHz and a bandwidth of 200 MHz. Furthermore, the proposed method is tested and verified in a real scenario, and the test results show that the RFSIC ability is greater than 35 dB when 16 taps are used for SI reconstruction. Combined with digital self-interference cancellation (DSIC), the error vector magnitude (EVM) can be effectively increased by 30.8 dB, while the phased array system can realize FD communication.

关键词： Phased arrays Interference cancellation Simulation Conferences Millimeter wave technology Full-duplex system Bandwidth

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Effect of Periodic Phase Modulation on the Matched Filtering with Insufficient Phase Shift Capability

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IEEE Transactions on Aerospace and Electronic Systems 2024年第3期61卷 5755-5770页

作者： Xu, Hong Wei, Haotian Chen, Hui Chen, Zhanye Zhou, Xiaoyang Xu, Heng Quan, Yinghui Xidian University Hangzhou Research Institute Hangzhou311231 China Southeast University State Key Laboratory of Millimeter Waves Nanjing210096 China Southeast University Institute of Electromagnetic Space Nanjing210096 China Xidian University Xi'an Key Laboratory of Advanced Remote Sensing School of Electronic Engineering Xi'an710071 China Xidian University Department of Remote Sensing Science and Technology School of Electronic Engineering Xi'an710071 China Xidian University Key Laboratory of Collaborative Intelligence Systems Ministry of Education School of Electronic Engineering Xi'an710071 China

Utilizing periodic phase modulation (PPM) can shift the echo spectrum, affecting matched filtering (MF) processing, leading to time delay shift or amplitude attenuation. The prior works on the impact of PPM on MF mainly consider an ideal phase modulation model, where the phase shift is considered to be sufficient. In practical applications, the phase shift capability achieved by physical devices for phase modulation is often insufficient due to factors such as hardware limitations, operating bandwidth, and cost constraints. To address this limitation, this paper investigates the quantitative impact of PPM on the MF under conditions of insufficient phase shift. Firstly, reflection coefficient models for PPM under insufficient phase shifts are established, considering 1-bit and 2-bit conditions. Furthermore, for commonly used radar waveforms such as linear frequency modulation (LFM) and phase-coded modulation (PCM), expressions for MF output results under different bit rates are derived, and a quantitative analysis of the time delay and amplitude attenuation compared with the unmodulated case is conducted. Finally, the correctness of the proposed theoretical model is validated through simulation and measured experiments. © 1965-2011 IEEE.

关键词： Matched filters

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Generalized-Extended-State-Observer and Equivalent-Input-Disturbance Methods for Active Disturbance Rejection: Deep Observation and Comparison

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 957-968页

作者： Jinhua She Kou Miyamoto Qing-Long Han Min Wu Hiroshi Hashimoto Qing-Guo Wang School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan K.Miyamoto is with the Institute of Technology Shimizu CorporationKotoTokyo 135-0044Japan School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China School of Industrial Technology Advanced Institute of Industrial TechnologyTokyo 140-0011Japan Institute of Artificial Intelligence and Future Networks Beijing Normal UniversityZhuhai 519087 Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNUHKBU United International College Zhuhai 519087China

Active disturbance-rejection methods are effective in estimating and rejecting disturbances in both transient and steady-state *** paper presents a deep observation on and a comparison between two of those methods:the generalized extended-state observer(GESO)and the equivalent input disturbance(EID)from assumptions,system configurations,stability conditions,system design,disturbance-rejection performance,and extensibility.A time-domain index is introduced to assess the disturbance-rejection performance.A detailed observation of disturbance-suppression mechanisms reveals the superiority of the EID approach over the GESO method.A comparison between these two methods shows that assumptions on disturbances are more practical and the adjustment of disturbance-rejection performance is easier for the EID approach than for the GESO method.

关键词： Active disturbance-rejection control(ADRC) disturbance observer(DOB) equivalent input disturbance(EID) extendedstate observer(ESO) generalized extended-state observer(GESO)

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A rabies virus-based toolkit for efficient retrograde labeling and monosynaptic tracing

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Neural Regeneration Research 2023年第8期18卷 1827-1833页

作者： Kun-Zhang Lin Lei Li Wen-Yu Ma Xin Yang Zeng-Peng Han Neng-Song Luo Jie Wang Fu-Qiang Xu The Brain Cognition and Brain Disease Institute(BCBDI) Shenzhen Key Laboratory of Viral Vectors for BiomedicineShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsNMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal ProductsShenzhenKey Laboratory of Quality Control Technology for Virus-Based TherapeuticsGuangdong Provincial Medical Products AdministrationShenzhenGuangdong ProvinceChina State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics National Center for Magnetic Resonance in WuhanWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences-Wuhan National Laboratory for OptoelectronicsWuhanHubei ProvinceChina University of Chinese Academy of Sciences BeijingChina Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhanHubei ProvinceChina Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions ShenzhenGuangdong ProvinceChina Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghaiChina

Analyzing the structure and function of the brain's neural network is critical for identifying the working principles of the brain and the mechanisms of brain *** rabies viral vectors allow for the retrograde labeling of projection neurons and cell type-specific trans-monosynaptic tracing,making these vectors powerful candidates for the dissection of synaptic *** several attenuated rabies viral vectors have been developed,their application in studies of functional networks is hindered by the long preparation cycle and low yield of these *** overcome these limitations,we developed an improved production system for the rapid rescue and preparation of a high-titer CVS-N2c-ΔG *** results showed that the new CVS-N2c-ΔG-based toolkit performed remarkably:(1)N2cG-coated CVS-N2c-ΔG allowed for efficient retrograde access to projection neurons that were unaddressed by rAAV9-Retro,and the efficiency was six times higher than that of rAAV9-Retro;(2)the trans-monosynaptic efficiency of oG-mediated CVS-N2c-ΔG was 2–3 times higher than that of oG-mediated SAD-B19-ΔG;(3)CVS-N2c-ΔG could delivery modified genes for neural activity monitoring,and the time window during which this was maintained was 3 weeks;and(4)CVS-N2c-ΔG could express sufficient recombinases for efficient transgene *** findings demonstrate that new CVS-N2c-ΔG-based toolkit may serve as a versatile tool for structural and functional studies of neural circuits.

关键词： functional studies neural activity neural circuits projection neurons rAAV9-Retro rabies virus recombination retrograde labeling synaptic inputs trans-monosynaptic tracing

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Impact of Position Perturbation on Distributed Collaborative Beamforming Using UAV Swarm

Impact of Position Perturbation on Distributed Collaborative...

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IEEE International Conference on Communications Workshops, ICC

作者： Wenbo Guo Jiaxin Du Mu Yan Hongzhi Zhao Shihai Shao National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

To improve the capability for communication, radar, and other wireless applications, the combination of distributed collaborative beamforming (DCBF) and virtual antenna array (VAA) based on unmanned aerial vehicle (UAV) swarm is a novel solution. DCBF using UAV swarm requires aligning the relative phases of each UAV in the VAA. However, the phase offset caused by position perturbation between the UAVs always exists in the practical system, which result in the deterioration of the VAA peak power and 3-dB beamwidth. Thus, inspired by such problem, this paper explicitly analyzes the impact of position perturbation on DCBF using UAV swarm, where the expression of average far-field beampattern and the approximate expression of 3-dB beamwidth in the presence of position perturbation are derived. Theoretical analyses and simulation results show that the average far-field beampattern deteriorates, the VAA peak power decreases, and the 3-dB beamwidth degrades as the position perturbation intensifies. Moreover, according to the simulation results, as the UAV swarm scale increases, the deterioration of peak power is aggravated, while the deterioration of 3-dB beamwidth is alleviated.

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