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第41届中国控制会议

作者： Qiaoni Han Guowen Cheng Hongjiu Yang Zhiqiang Zuo School of Electrical and Information Engineering Tianjin University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper j ointly designs the communication and control schemes for vehicle platoons by taking into consideration of the limited communication and computing resources of *** at achieving the stable tracking of the member vehicles at a desired inter-vehicle distance and the same velocity,while improving the communication and computation efficiency,we propose a bandwidth-aware transmission scheduling(BATS) mechanism and an event-triggered distributed model predictive control(ET-DMPC) scheme for the longitudinal control of a vehicle ***,by introducing bandwidth-aware parameters,the triggering threshold for the event-triggered BATS mechanism is dynamically adjusted according to vehicle and bandwidth ***,an output-based ET-DMPC scheme is designed to ensure that the platoon tracks a reference velocity and maintains the desired inter-vehicle ***,extensive simulations are carried out and the results demonstrate the effectiveness of the proposed BATS mechanism and ET-DMPC scheme in terms of adaptive communication scheduling and low computational burden.

关键词： Vehicle Platoon Longitudinal control Communication Efficiency Computational Burden MPC

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control Parameter Adjustment and Transmission Power Optimization for Vehicle Platoons with Communication Outage 41

Control Parameter Adjustment and Transmission Power Optimiza...

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第41届中国控制会议

作者： Qiaoni Han Chang Liu Hongjiu Yang Zhiqiang Zuo School of Electrical and Information Engineering Tianjin University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The advantage of vehicle platoons is reflected in their tighter inter-vehicle ***,under the non-ideal communication environment,communication outage occurs which may cause the distance between adjacent vehicles too close to result in a collision *** the communication outage with predecessor following between vehicles in a platoon,and applying the constant time headway policy,firstly,this paper quantifies the relationship among headway time,control parameter and communication reliability probability while satisfying plant stability and string ***,given a communication reliability probability,the parameter space method is used to obtain the range of the control parameter,so as to ensure platoon ***,we optimize the transmission power of vehicles to minimize the worst outage probability by some transformation and the adoption of the Perron-Frobenius *** this way,an iterative update rule is presented to obtain the optimal transmission ***,the simulation results demonstrate the effectiveness of the proposed control parameter adjustment method and power optimization scheme.

关键词： Plant stability String stability Outage probability Parameter adjustment Power optimization

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An Optimal control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2081-2093页

作者： Zhe Chen Ning Li Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240 Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Department of Automation Tsinghua UniversityBeijing 100084China IEEE

This paper studies a novel distributed optimization problem that aims to minimize the sum of the non-convex objective functionals of the multi-agent network under privacy protection, which means that the local objective of each agent is unknown to others. The above problem involves complexity simultaneously in the time and space aspects. Yet existing works about distributed optimization mainly consider privacy protection in the space aspect where the decision variable is a vector with finite dimensions. In contrast, when the time aspect is considered in this paper, the decision variable is a continuous function concerning time. Hence, the minimization of the overall functional belongs to the calculus of variations. Traditional works usually aim to seek the optimal decision function. Due to privacy protection and non-convexity, the Euler-Lagrange equation of the proposed problem is a complicated partial differential ***, we seek the optimal decision derivative function rather than the decision function. This manner can be regarded as seeking the control input for an optimal control problem, for which we propose a centralized reinforcement learning(RL) framework. In the space aspect, we further present a distributed reinforcement learning framework to deal with the impact of privacy protection. Finally, rigorous theoretical analysis and simulation validate the effectiveness of our framework.

关键词： Distributed optimization multi-agent optimal control reinforcement learning(RL)

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Energy-Efficient and Fault-Tolerant Sparse Coding for Spiking Neural Networks Accelerator

Energy-Efficient and Fault-Tolerant Sparse Coding for Spikin...

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2024 IEEE International Conference on Integrated Circuits, Technologies and Applications, ICTA 2024

作者： Li, Bo Liu, Wei Liu, Yue Huang, Xiao Yu, Zhiyi Xiao, Shanlin Sun Yat-sen University School of Microelectronics Science and Technology China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems China

ISBN: (纸本)9798331530709

Spiking Neural Networks (SNNs) exhibit superior energy efficiency and fault tolerance compared to Artificial Neural Networks (ANNs). Due to their spike-based nature, input signals must be encoded into spike trains. However, traditional spiking coding schemes often encounter a trade-off between energy efficiency and fault tolerance. To overcome this limitation, we propose a novel coding scheme, Spiking Sparse Coding (SSC), which achieves both high sparsity and enhanced fault tolerance. SSC not only improves network performance but also reduces the number of spikes by 93.69%, resulting in a 76.47% increase in energy efficiency. Additionally, SSC enhances network fault tolerance, with accuracy improvements of up to 12.06% under identical noise interference conditions. We deployed the network on the ZCU102 FPGA platform, operating at a frequency of 200 MHz with a power consumption of 409 mW. On the MNIST dataset, we achieved a classification accuracy of 95.84%. The training speed and energy consumption were 12656 frames per second and 0.032 mJ per image, the inference speed and energy consumption were 19279 frames per second and 0.021 mJ per image. © 2024 IEEE.

关键词： Network coding

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Precipitation Retrieval of FY-3D MWHTS and MWRI Data Based on Light Gradient Boosting Model

Precipitation Retrieval of FY-3D MWHTS and MWRI Data Based o...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Lv, Yanfang Zhang, Lanjie Zhang, Yifan Zhang, Biao Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9798350375909

As an essential component of the earth system, precipitation plays a crucial role in the regional and global water cycle. This paper uses observations from the Fengyun-3D microwave humidity and temperature sounder and microwave radiation imager, as well as Integrated Multi-satellite Retrievals for GPM (IMERG), to establish a precipitation retrieval model based on the light gradient boosting model (LGBM). Using IMERG as the comparison data, the performance of precipitation identification with the LGBM-based precipitation retrieval model is as follows: accuracy is 0.9302, probability of detection is 0.7683, false alarm rate is 0.3529, and critical success index is 0.5414. The performance of precipitation estimation is also evaluated, with a correlation coefficient of 0.7536, a mean absolute error of 0.9119, and a mean squared error of 3.9506. In summary, this study achieves good performance in precipitation identification and estimation by the LGBM model. © 2024 IEEE.

关键词： Microwave acoustic devices

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Scientific Research Transformation Needed for Comprehensive Artificial Intelligence Implementation 17

Scientific Research Transformation Needed for Comprehensive ...

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17th International Conference on Management of Large-Scale System Development, MLSD 2024

作者： Medennikov, Viktor Bogatyreva, Larisa Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia

ISBN: (纸本)9798350375718

The paper deals with complementary changes in scientific research and real economy (exemplified by the farming industry) taking place when using the holistic approach to the industry's digital transformation resulting in the appearance of precise agrarian technologies that require a comprehensive, system-based combination of research and production resources that are able to ensure increased productivity in the industry. We demonstrate that among these new technologies, the artificial intelligence methods have a special significance. They have to, however, go through integration transformations to become standards for the proposed common digital farming management platform. © 2024 IEEE.

关键词： Agricultural economics

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Asynchronous Arbitration Circuit Optimization for Multicore Neuromorphic Processors 17

Asynchronous Arbitration Circuit Optimization for Multicore ...

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17th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2024

作者： Guo, Jiajie Lin, Guangyao Wang, Bohan Yu, Zhiyi Xiao, Shanlin School of Microelectronics Science and Technology Sun Yat-sen University China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems China

ISBN: (纸本)9798350361834

Spiking Neural Networks (SNNs), with their significant advantages of low power consumption and low latency, are a promising approach for edge computing and have attracted considerable attention in the scientific community. Multicore neuromorphic processors have been demonstrated as an effective solution for constructing large-scale SNN models. However, as the scale of these networks increases, the resource and power demands of inter-core communication escalate significantly. The inter-core arbiter represents an important component of the Power-Performance-Area (PPA) bottleneck. Compared to synchronous circuits, asynchronous circuits feature lower power consumption and enhanced robustness, making them more suitable for inter-core communication. We propose an asynchronous Quasi-Delay Insensitive (QDI) arbitration circuit based on hybrid encoding method and the NCL_X pipeline architecture, achieving a 22% improvement in speed and a 23% reduction in power consumption. © 2024 IEEE.

关键词： Edge computing

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Typhoon Wind Speed Retrieval from HY-2C Microwave Radiometer Based on LightGBM

Typhoon Wind Speed Retrieval from HY-2C Microwave Radiometer...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Dai, Xuchen Zhang, Biao Zhang, Yifan Zhang, Lanjie Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China

ISBN: (纸本)9798350375909

In this paper, the sea surface wind speed (SSWS) retrieval accuracy for HaiYang-2C (HY-2C) passive microwave radiometer under the severe weather such as typhoon is evaluated. Based on the observation data of HY-2C, this study explores the influence of brightness temperature (TB) observed by microwave radiometer on sea surface wind speed retrieval under typhoon conditions. In the case of typhoon precipitation, the attenuation of the atmosphere to the high frequency channel is stronger, which makes the sea surface information observed by the microwave radiometer very weak. Therefore, we mainly select the TB of horizontal polarization and vertical polarization observation of 6.9GHz and 10.7GHz channels to carry out the study of typhoon wind speed retrieval. This paper constructs a matching data set based on the TB observed by HY-2C passive microwave radiometer, HY-2C L2B wind product and H*wind reanalysis wind field data in October and November 2020. The maximum differences of spatial and temporal were set as 25km and 30minutes, respectively. Then, the typhoon wind speed retrieval model based on LightGBM is established. We use the data of October 2020 to train the model and the data of November 2020 to test model performance. Comparing with the H*wind reanalysis wind field data, the bias and root-mean-square error of retrieved wind speed are 0.15m/s and 1.26m/s, respectively. In addition, the correlation coefficient is 0.90, indicating that the retrieved wind speed has a good consistency with H*wind data. © 2024 IEEE.

关键词： Hurricanes

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An FPGA-based QDI Asynchronous Circuits Design Methodology

An FPGA-based QDI Asynchronous Circuits Design Methodology

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2024 IEEE International Conference on Integrated Circuits, Technologies and Applications, ICTA 2024

作者： Lin, Guangyao Wang, Jinghai Xu, Zeyang Yu, Zhiyi Xiao, Shanlin Sun Yat-sen University School of Microelectronics Science and Technology China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems China

ISBN: (纸本)9798331530709

Quasi delay insensitive (QDI) circuits, as a type of asynchronous circuits, have unique advantages such as high robustness, low power consumption, and event driven, so they have the potential to be applied in fields such as Network-on-Chip (NoC). However, due to the lack of supporting EDA tools, designing QDI circuits is difficult, resulting in limited application. This article proposes a systematic FPGA-based QDI circuit design methodology based on existing EDA tools, and designs a QDI router according to the proposed methodology. The designed QDI router reduces power consumption by 52.1% and latency by 19.7% compared to synchronous router with similar structure. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Clipping discrete multi-tone for peak-power-constraint IM/DD optical systems

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Science China(information Sciences) 2023年第5期66卷 227-237页

作者： Ji ZHOU Liangchuan LI Jiale HE Xiaofeng LU Yu BO Guanyu WANG Yuanda HUANG Gengchen LIU Yanzhao LU Shecheng GAO Yuanhua FENG Shancheng ZHAO Weiping LIU Changyuan YU Zhaohui LI Department of Electronic Engineering College of Information Science and Technology Jinan University Optical Research Department Huawei Technologies Co. Ltd. Department of Electronic and Information Engineering The Hong Kong Polytechnic University Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen University Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

High peak-to-average power ratio(PAPR) is a major drawback of discrete multi-tone(DMT) in peak-power-constraint(PPC) intensity-modulation/direct-detection(IM/DD) optical systems. Symmetric clipping operation is a frequently-used and practical method for mitigating the PAPR of the DMT ***, clipping noise is inevitably induced by the symmetric clipping operation, thereby deteriorating the system's performance. In this paper, we study the statistical characteristics of the clipping noise in *** on the statistical characteristics, clipping-noise-cancellation(CNC) algorithms are proposed to mitigate the clipping noise in the clipping DMT systems. Theoretically, the clipping noise can be completely removed using the low-density-parity-check-assisted CNC algorithm(LDPC-assisted CNC algorithm). To verify the superiority of the clipping DMT with the CNC algorithm, we conduct an experiment with a50 Gb/s DMT system using 10G-class commercial devices for the scenario of PPC passive optical *** receiver sensitivity of the clipping DMT system with the CNC algorithm can reach-24 d Bm at a 20%soft-decision forward-error-correction limit, which is 2.5 d B higher than that of the DMT system without clipping operation. The clipping operation and the CNC algorithm are added after the original digital signal processing, thereby demonstrating the potential to efectively overcome the drawback in DMT signals and other high-PAPR signals.

关键词： discrete multi-tone peak-to-average power ratio peak-power constraint clipping-noise cancellation intensity-modulation/direct-detection optical systems

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