Systems Science & Control Engineering最新文献_第8页

Carbon emission price forecasting in China using a novel secondary decomposition hybrid model of CEEMD-SE-VMD-LSTM 利用 CEEMD-SE-VMD-LSTM 的新型二次分解混合模型预测中国碳排放价格

Systems Science & Control Engineering Pub Date : 2023-12-18 DOI: 10.1080/21642583.2023.2291409

Li Ni, Venus Khim-Sen Liew

引用次数: 0

Influence of carbon emission reduction of enterprises on economic growth under climate warming 气候变暖条件下企业碳减排对经济增长的影响

Systems Science & Control Engineering Pub Date : 2023-12-09 DOI: 10.1080/21642583.2023.2288163

Liang Li, Jingya Li, Haifeng Pan, Weiyin Fei

引用次数: 0

Chaotic sparrow search algorithm with manta ray spiral foraging for engineering optimization 用于工程优化的蝠鲼螺旋觅食混沌麻雀搜索算法

Systems Science & Control Engineering Pub Date : 2023-09-08 DOI: 10.1080/21642583.2023.2249021

Chao Yang, Hong Yang, Donglin Zhu, Yiwen Hu, Yu Zhang, HongYuan Ma, ZhiHong Huang

{"title":"Chaotic sparrow search algorithm with manta ray spiral foraging for engineering optimization","authors":"Chao Yang, Hong Yang, Donglin Zhu, Yiwen Hu, Yu Zhang, HongYuan Ma, ZhiHong Huang","doi":"10.1080/21642583.2023.2249021","DOIUrl":"https://doi.org/10.1080/21642583.2023.2249021","url":null,"abstract":"Targeting the problem of traditional sparrow search algorithms being prone to falling into local optima, a new algorithm called the Chaotic Sparrow Search Algorithm with Manta Ray Spiral Foraging (abbreviated as MSSA) is proposed. The Logistic-Sine-Cosine chaotic map and elite Reverse learning strategy are fused to initialize the population. It is experimentally demonstrated that this hybrid strategy outperforms the population after random initialization in reducing ineffective sparrow individuals. In the vigilante update stage, the spiral foraging behaviour of the manta ray population in the integrated manta ray optimization algorithm, the sparrows search around the best food source, which enhances the sparrow search algorithm's ability to explore the optimal solution. To enhance the stability of the algorithm to search for the optimum, a mixed Gaussian variational and logistic perturbation strategy is proposed to further improve the performance of the algorithm. Finally, using 12 commonly used benchmark test functions and the Wilcoxon rank sum test, MSSA was compared with other original algorithms and advanced improved algorithms, it is demonstrated that MSSA has higher accuracy and convergence performance, and the improved MSSA algorithm is applied to three types of engineering optimization problems with constraints, demonstrating its feasibility and effectiveness.","PeriodicalId":428785,"journal":{"name":"Systems Science & Control Engineering","volume":"471 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115945086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Online reinforcement learning control of robotic arm in presence of high variation in friction forces 摩擦力变化较大的机械臂在线强化学习控制

Systems Science & Control Engineering Pub Date : 2023-08-31 DOI: 10.1080/21642583.2023.2251521

Ahmad Al-Mahasneh, Mohammed Abu Mallouh, Mustafa Awwad Al-Khawaldeh, Basel Jouda, Omar Shehata, Mohammed Baniyounis

{"title":"Online reinforcement learning control of robotic arm in presence of high variation in friction forces","authors":"Ahmad Al-Mahasneh, Mohammed Abu Mallouh, Mustafa Awwad Al-Khawaldeh, Basel Jouda, Omar Shehata, Mohammed Baniyounis","doi":"10.1080/21642583.2023.2251521","DOIUrl":"https://doi.org/10.1080/21642583.2023.2251521","url":null,"abstract":"The operation and accuracy of industrial robotic arms can be negatively affected by significant fluctuations in friction forces within their joints, potentially resulting in financial and operational losses. To mitigate these issues, an online model-free reinforcement learning controller specifically designed to handle high variations in joints’ friction forces. To the best of our knowledge this is the first time where reinforcement learning controller is used to handle high friction variations in a robotic arm. Initially, the dynamic equations of the robotic arm are derived, verified and validated to ensure an accurate representation of real-world behaviour. The stability of the closed-loop system is analyzed using the Lyapunov second method. The performance of the proposed controller in terms of position tracking is compared against four commonly used controllers found in literature for similar applications: (i) nonlinear model-based computed torque controller, (ii) proportional-derivative controller, (iii) adaptive iterative learning controller and (iv) radial basis function neural network adaptive controller. Simulation results demonstrate that the reinforcement learning controller outperforms the other controllers in terms of tracking performance, even in the presence of significant variations in joint friction forces.","PeriodicalId":428785,"journal":{"name":"Systems Science & Control Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121420702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Collaborative-prediction-based recursive filtering for nonlinear systems with sensor saturation under duty cycle scheduling 占空比调度下传感器饱和非线性系统的协同预测递归滤波

Systems Science & Control Engineering Pub Date : 2023-08-23 DOI: 10.1080/21642583.2023.2247007

Hongyu Gao, Yue Li, Lindong Yu, Haoran Yu

引用次数: 1

Small object detection in UAV image based on improved YOLOv5 基于改进YOLOv5的无人机图像小目标检测

Systems Science & Control Engineering Pub Date : 2023-08-15 DOI: 10.1080/21642583.2023.2247082

Jian Zhang, Guoyang Wan, Ming Jiang, Gui-Fu Lu, Xiuwen Tao, Zhiyi Huang

{"title":"Small object detection in UAV image based on improved YOLOv5","authors":"Jian Zhang, Guoyang Wan, Ming Jiang, Gui-Fu Lu, Xiuwen Tao, Zhiyi Huang","doi":"10.1080/21642583.2023.2247082","DOIUrl":"https://doi.org/10.1080/21642583.2023.2247082","url":null,"abstract":"Less effective information is obtained by the object detection network, due to the small size of the detection object in the entire image, the complex background, and the dense object in unmanned aerial vehicle (UAV) images. In response to the difficulties encountered, a small object detection method in UAV images is proposed as an improved YOLOv5-based algorithm in this paper. First, the space-to-depth(SPD) conv module is introduced into the basic feature extraction network, to improve significant loss of image information during downsampling. Then, various attention mechanisms are added, to intensify the acquisition of regions of interest in UAV images. Finally, the multiscale detection module is improved, to enhance the network's ability to detect small objects in UAV images. By conducting experiments on the VisDrone-DET2019 dataset, the test results of the established model show. The improved algorithm achieved a Mean Average Precision (mAP) of 41.8%, which is 7.8% better than the baseline network. In addition, the detection performance is better than most current mainstream target detection algorithms and is of some practical value.","PeriodicalId":428785,"journal":{"name":"Systems Science & Control Engineering","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114308537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on an intelligent evaluation method of bone age based on multi-region combination 基于多区域组合的骨龄智能评估方法研究

Systems Science & Control Engineering Pub Date : 2023-07-25 DOI: 10.1080/21642583.2023.2233545

Kaiyan Chen, Jianan Wu, Yan Mao, Wei Lu, Keji Mao, Wenxiu He

{"title":"Research on an intelligent evaluation method of bone age based on multi-region combination","authors":"Kaiyan Chen, Jianan Wu, Yan Mao, Wei Lu, Keji Mao, Wenxiu He","doi":"10.1080/21642583.2023.2233545","DOIUrl":"https://doi.org/10.1080/21642583.2023.2233545","url":null,"abstract":"Bone age is one of the most important evaluation indexes for the growth and development of children and adolescents. The bone age assessment method based on deep learning generally uses the whole left wrist X-ray film or some regions of interest in the left wrist X-ray film. Based on the entire X-ray film, the intelligent evaluation process is simple, but the accuracy is low. Although intelligent evaluation based on regions of interest has high accuracy, it requires prior knowledge and the process is complex. To solve the above problems, this paper proposes a multi-region combined method for bone age assessment. A small number of regions of interest in wrist bone X-ray films are extracted, and then the whole X-ray film and these regions of interest were used to evaluate the bone age. The experiment uses the improved Inception-ResNet-V2 convolutional neural network. The results show that compared with other bone age assessment studies on the open data set published by the North American radiological Association, this method can obtain higher accuracy of bone age assessment, with an average absolute error of 7.11 months. This method improves the efficiency and accuracy of bone age assessment while simplifying the assessment process.","PeriodicalId":428785,"journal":{"name":"Systems Science & Control Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128949185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Camera calibration method based on circular array calibration board 基于圆阵列标定板的摄像机标定方法

Systems Science & Control Engineering Pub Date : 2023-07-15 DOI: 10.1080/21642583.2023.2233562

Haifeng Chen, Jinlei Zhuang, Bingyou Liu, Lichao Wang, Luxian Zhang

引用次数: 2

Optimal control method of active distribution network considering soft open point and thermostatically controlled loads under distributed photovoltaic access 分布式光伏接入下考虑软开点和热控负荷的有源配电网最优控制方法

Systems Science & Control Engineering Pub Date : 2023-07-11 DOI: 10.1080/21642583.2023.2228334

Lisheng Li, Haidong Yu, Yang Liu, Wenbin Liu, Min Huang, P. Zhang, Xinhong You, Shuai Li

{"title":"Optimal control method of active distribution network considering soft open point and thermostatically controlled loads under distributed photovoltaic access","authors":"Lisheng Li, Haidong Yu, Yang Liu, Wenbin Liu, Min Huang, P. Zhang, Xinhong You, Shuai Li","doi":"10.1080/21642583.2023.2228334","DOIUrl":"https://doi.org/10.1080/21642583.2023.2228334","url":null,"abstract":"To achieve the flexible operation of the active distribution network (ADN), an optimal control method for the ADN considering the soft open point (SOP) and thermostatically controlled loads under distributed photovoltaic (PV) access is proposed. First, the mathematical model of the SOP and thermostatically controlled loads are constructed based on the flexibility of the SOP and the thermal storage characteristic of thermostatically controlled loads, respectively. Then, the mathematical model of the ADN considering the SOP and thermostatically controlled loads are further constructed. The optimal control of the ADN is realized by adjusting the transmission power of the SOP and the switching state of the electric water heater. Finally, the optimal operation analysis of the SOP and thermostatically controlled loads under various control methods is carried out, and the impact of the SOP and thermostatically controlled loads on the economic and secure operation of the ADN is further investigated. The results show that the proposed method taps the demand response potential of thermostatically controlled loads while satisfying the water consumption habits of different customers, and utilizes the network reconfiguration with the SOP to further improve the security and economy of the ADN operation.","PeriodicalId":428785,"journal":{"name":"Systems Science & Control Engineering","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114445681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability comparison of different controllers for hydraulic turbine fractional order interval parameter time-delay system 水轮机分数阶区间参数时滞系统不同控制器的稳定性比较

Systems Science & Control Engineering Pub Date : 2023-06-16 DOI: 10.1080/21642583.2023.2221309

Tian Tian, Jinhua Lv, Jianlin Tang

{"title":"Stability comparison of different controllers for hydraulic turbine fractional order interval parameter time-delay system","authors":"Tian Tian, Jinhua Lv, Jianlin Tang","doi":"10.1080/21642583.2023.2221309","DOIUrl":"https://doi.org/10.1080/21642583.2023.2221309","url":null,"abstract":"This paper studies the stability comparison of four controllers for a hydraulic turbine fractional order interval parameter time-delay system. Considering the terms of parameter uncertainty and time-lag, the hydraulic turbine fractional order interval parameter time-delay system is established by using fractional calculus and identification technology. Through the edge theorem and D-decomposition method, the calculation process of controller parameter stability region is derived in every detail. Subsequently, the four different controllers including the PID, PID plus second order derivative (PID2D), fractional order PID (FOPID) and fractional order PID plus second order derivative (FOPID2D) controllers, are applied in the hydraulic turbine fractional order interval parameter time-delay system. According to the experimental results, the effect of the controller parameters kd , kd 2, α and λ on the stability region of the parameters kp and ki is analysed and the variable law of stability regions of the hydraulic turbine governing system is presented. Finally, the stability region of these four controllers is compared and the results validate the superiority of the FOPID2D controller over the other controllers.","PeriodicalId":428785,"journal":{"name":"Systems Science & Control Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130140691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systems Science &amp; Control Engineering最新文献

Systems Science & Control Engineering最新文献