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第41届中国控制会议

作者： Qianqian Sun Xia Chen The School of Information and Control Engineering Qingdao University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper studies the prescribed-time consensus problem of multi-agent systems under directed graphs via event-triggered *** the aid of a time-varying scaling function,distributed triggering conditions without continuous communication are firstly designed for each *** prescribed-time consensus of multiagent systems is proved by the Lyapunov stability theory and the algebraic graph ***,an improved triggering condition independent of the initial state values is proposed,which also results in preset convergence *** behavior is excluded for any time except the settling ***,simulation results are given to verify the effectiveness of the proposed methods.

关键词： prescribed-time consensus event-triggered control multi-agent systems directed graphs

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GRU combined model based on multi-objective optimization for short-term residential load forecasting

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 10423-10440页

作者： Yi, Lingzhi Peng, Xinlong Fan, Chaodong Wang, Yahui Li, Yunfan Liu, Jiangyong College of Automation and Electronic Engineering Xiangtan University Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan China School of Computer Science and Technology Hainan University Hainan China College of Electrical and Information Engineering Hunan University Changsha China

Reliable and accurate short-term forecasting of residential load plays an important role in DSM. However, the high uncertainty inherent in single-user loads makes them difficult to forecast accurately. Various traditional methods have been used to address the problem of residential load forecasting. A single load forecast model in the traditional method does not allow for comprehensive learning of data characteristics for residential loads, and utilizing RNNs faces the problem of long-term memory with vanishing or exploding gradients in backpropagation. Therefore, a gated GRU combined model based on multi-objective optimization is proposed to improve the short-term residential load forecasting accuracy in this paper. In order to demonstrate the effectiveness, GRUCC-MOP is first experimentally tested with the unimproved model to verify the model performance and forecasting effectiveness. Secondly the method is evaluated experimentally with other excellent forecasting methods: models such as DBN, LSTM, GRU, EMD-DBN and EMD-MODBN. By comparing simulation experiments, the proposed GRU combined model can get better results in terms of MAPE on January, April, July, and November load data, so this proposed method has better performance than other research methods in short-term residential load forecasting. © 2024 - IOS Press. All rights reserved.

关键词： Multiobjective optimization

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Sliding mode control for the uncertain switched systems subject to Rice channel fading 41

Sliding mode control for the uncertain switched systems subj...

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第41届中国控制会议

作者： Haijuan Zhao Juan Ma School of Information and Control Engineering Qingdao University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this work,the sliding mode control(SMC) problem is investigated for uncertain switched systems subject to the channel ***,the Lth-order Rice fading model is adopted to describe the phenomenon of channel fading,where the channel coefficients are mutually independent random variables.A key issue of this work is how to guarantee the mean-square exponentially stability of the closed-loop switched *** this end,a suitable sliding mode controller is *** employing Lyapunov function and average dwell time,some sufficient conditions are established such that the reachability with a sliding domain around the pre-specified sliding surface is achieved,meanwhile,the exponential stability of the resultant closedloop switched systems is guaranteed.

关键词： Switched systems Sliding mode control Rice channel fading

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A Finite-time Distributed Cooperative control Approach for Microgrids

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CSEE Journal of Power and Energy Systems 2022年第4期8卷 1194-1206页

作者： Jiancheng Zhang Xinsheng Wang Lingyu Ma Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150006China Department of Information Engineering Shandong Management UniversityJinan 250100China

Reactive power sharing cannot be achieved using many existing microgrid(MG)control methods,but the convergence speed of these methods is *** solve these problems,a finite-time distributed control approach is proposed in this paper,which is based on the hierarchical control *** hierarchical control structure consists of a dual loop control,a droop control used as a primary control and a secondary ***,the secondary controller is modeled,and the MG system composed of distributed generators(DGs)is considered as a multi-agent *** secondary controller consists of a frequency regulator,voltage regulator and power ***,the adaptive virtual impedance module is established,using the output of the reactive power regulator as its ***,a dual loop controller is combined with a primary controller and secondary controller to generate a pulse width modulation(PWM)signal to control the power and voltage of the *** order to reduce the fluctuation of the MG,a damping module is introduced when the structure of the system ***,the stability of the proposed control strategy is proved by the related theorems.A simulation system is established in the Matlab environment,and the simulation results show that the proposed method is effective.

关键词： Consensus droop control finite-time microgrid power sharing virtual impedance

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M-segclip: Enhancing SegCLIP with RM-MLP for Open-Vocabulary Semantic Segmentation 2

M-segclip: Enhancing SegCLIP with RM-MLP for Open-Vocabulary...

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2nd International Conference on Algorithm, Image Processing and Machine Vision, AIPMV 2024

作者： Zhang, Yuhang Che, Yanqiu Li, Shanshan Wang, Ruofan School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China School of Information Technology Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9798350390254

With the emergence of large-scale visual language models represented by CLIP, we have broken the great divide between vision and language. It has become possible to project features from visual models to semantic space consisting of a large amount of text. At the same time, semantic segmentation has opened the door to transferring learned visual knowledge to open vocabulary semantic segmentation. In this paper we improve and optimize a model with open vocabulary segmentation capability based on the CLIP architecture, we design an RM-MLP module and insert this module after the semantic group module in the image encoder, which is used to optimize the semantic regions aggregated by the semantic group module, and then used to generate the final segmentation results. The final experimental results show that the optimized model achieves higher segmentation accuracy on PASCAL VOC 2012 (+1.14% mIoU), and COCO (+0.43% mIoU). © 2024 IEEE.

关键词： Semantic Segmentation

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Research on indoor temperature and humidity coupling system based on fuzzy adaptive PD control 9

Research on indoor temperature and humidity coupling system ...

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2024 9th International Seminar on Computer technology, Mechanical and Electrical engineering, ISCME 2024

作者： Li, Hui Yang, Hao Zhang, Suli Miao, Jiahao School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin Jilin132022 China School of Computer Technology and Engineering Changchun Institute of Technology Jilin Changchun130012 China

In this research, a fuzzy adaptive PD control approach is introduced for managing the coupled indoor temperature and humidity system. Initially, the mathematical framework of indoor temperature and humidity is analyzed. For the coupled system, a decoupling control strategy is introduced, which eliminates the mutual influence between temperature and humidity by incorporating decoupling components, thereby enabling the system to be equivalently controlled as two independent single-input single-output systems. Secondly, a fuzzy adaptive PD control method is employed to achieve parameter self-tuning. Finally, to assess the efficacy of the introduced control approach, the present study undertakes a simulation analysis, utilizing a medium-sized office as a case study. The outcomes of the simulation suggest that upon implementing the fuzzy adaptive PD control methodology, the modulation of indoor temperature and humidity achieves enhanced precision and swiftness, notably demonstrating greater robustness in the presence of disturbance signals. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Self tuning control systems

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A 3D Spiral-Zigzag Gas Leakage Source Search Algorithm Based on Olfaction and Vision 6

A 3D Spiral-Zigzag Gas Leakage Source Search Algorithm Based...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Han, Ze-Rong Li, Ji-Gong Yang, Jing School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China School of Information Technology Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9798350356618

Accidents such as fires and chemical leakage, which occur from time to time, seriously endanger public safety. The use of robot to discover and track the source of gas/chemical plume can replace traditional manual search, greatly reducing the risk and cost of search and improving efficiency. Most of the existing gas leakage source search methods are applied in two-dimensional environments, and for the scenarios where the plume is visible, the efficiency of searching and the success rate of source localization only relying on the olfaction is usually low. To this end, this paper proposes a plume finding and tracing method based on olfaction and vision with a drone in 3D outdoor environments. In the plume finding phase, olfactory information is combined with visual object detection in the 3D Spiral algorithm to improve plume finding efficiency. During the plume tracing phase, the drone performs a 3D Zigzag motion to rapidly approach the source of the gas leakage. If the plume is lost during tracing, the 3D Spiral algorithm, which combines olfactory and visual information, is used again in local area with a view to find the plume again. Experimental and simulation results show that the efficiency of plume finding can be significantly improved by using visual object detection for the plume, and the proposed plume finding and tracing method combining olfactory and visual information has high search efficiency and success rate. © 2024 IEEE.

关键词： Object tracking

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Polyphonic sound event localization and detection based on Multiple Attention Fusion ResNet

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Mathematical Biosciences and engineering 2024年第2期21卷 2004-2023页

作者： Zhang, Shouming Zhang, Yaling Liao, Yixiao Pang, Kunkun Wan, Zhiyong Zhou, Songbin Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Institute of Intelligent Manufacturing Guangdong Academy of Science Guangdong Key Laboratory of Modern Control Technology Guangzhou510030 China

Sound event localization and detection have been applied in various fields. Due to the polyphony and noise interference, it becomes challenging to accurately predict the sound event and their occurrence locations. Aiming at this problem, we propose a Multiple Attention Fusion ResNet, which uses ResNet34 as the base network. Given the situation that the sound duration is not fixed, and there are multiple polyphonic and noise, we introduce the Gated Channel Transform to enhance the residual basic block. This enables the model to capture contextual information, evaluate channel weights, and reduce the interference caused by polyphony and noise. Furthermore, Split Attention is introduced to the model for capturing cross-channel information, which enhances the ability to distinguish the polyphony. Finally, Coordinate Attention is introduced to the model so that the model can focus on both the channel information and spatial location information of sound events. Experiments were conducted on two different datasets, TAU-NIGENS Spatial Sound Events 2020, and TAU-NIGENS Spatial Sound Events 2021. The results demonstrate that the proposed model significantly outperforms state-of-the-art methods under multiple polyphonic and noise-directional interference environments and it achieves competitive performance under a single polyphonic environment. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.

关键词： Deep learning

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STAR: Spatial Temporal Network for Action Recognition 6

STAR: Spatial Temporal Network for Action Recognition

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6th IEEE International Conference on Electronic information and Communication technology, ICEICT 2023

作者： Yu, Yanan Li, Zhengyan Zhang, Zhanwang Wang, Tianyu Xia, Liyang Sun, Jie School of Information and Control Engineering Qingdao University of Technology Qingdao266033 China

ISBN: (纸本)9798350399059

The human body can be regarded as a Kinematic chain composed of multiple rigid bodies connected by various hinges, so studying human action through the skeleton is very effective. With low research costs, skeleton data can be obtained through RGB videos, deep videos, etc. It is not sensitive to views and lighting;it has high accuracy. Skeleton data can be intuitively determined as graphical data, so it is very suitable to study through topography. Using a graph convolution network for spatial feature extraction is very reasonable. However, action is a continuous process and cannot be determined by looking at the skeletal point state of a particular frame alone. Therefore, it is necessary to extract temporal features from data. Therefore, this article proposes a spatiotemporal composite network based on skeleton data. Firstly, skeleton points are removed frame by frame through behavioral videos, followed by spatial and preliminary temporal features extracted through graph convolutional networks and time convolutional networks. Subsequently, temporal features are extracted using transformers and finally perform, feature fusion and behavioral classification through fully connected networks. This article conducted experiments on the NTU-60 and Kinetics datasets and achieved accuracy rates of 86.58%, 91.49%, and 32.93%, respectively. Compared with existing methods, the method proposed in this article has better performance. © 2023 IEEE.

关键词： Convolution

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Decision-making Method of Sharing Mode for Multi-microgrid System Considering Risk and Coordination Cost

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1690-1703页

作者： Hongjun Gao Jingxi Yang Shuaijia He Jianglin Zhang Junyong Liu Mingyang Hu College of Electrical Engineering Sichuan UniversityChengdu 610065China School of Control Engineering Chengdu University of Information TechnologyChengdu 610225China IEEE

Power sharing can improve the benefit of the multi-microgrid(MMG)***,the information disclosure may appear during the sharing process,which would bring privacy risk to a local ***,the risk and coordination cost are different in different sharing ***,this paper develops a decision-making method to decide the most suitable one of three mostly used sharing modes(i.e.,cooperative game with complete information,cooperative game with incomplete information,and noncooperative game).Firstly,power sharing paradigms and coordination mechanisms in the three modes are formulated in ***,different economic operation models of MMG system are included to analyze the economic benefit from different sharing *** on the different disclosed information,the risk cost is evaluated by using the simplified fuzzy analytic hierarchy process(FAHP).And the coordination cost for different sharing modes is expressed in different *** addition,a hierarchical evaluation system including three decision-making factors(e.g.,economics,risk,and coordination)is set ***,a combination weighting method(e.g.,the simplified FAHP combined with the anti-entropy weight method)is applied to obtain the weight of each factor for comprehensive ***,the optimal sharing solution of MMG system is decided by comparing and analyzing the difference among the three sharing *** results validate that the proposed method can provide a reference to deciding a suitable sharing mode.

关键词： Multi-microgrid system power sharing risk cost coordination cost fuzzy analytic hierarchy process(FAHP) combined weighting method

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