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2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)最新文献

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Differential Whale Optimization Algorithm 差分鲸鱼优化算法
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702171
Tao Zheng, Baohang Zhang, Haichuan Yang, Jiayi Li, Shangce Gao
{"title":"Differential Whale Optimization Algorithm","authors":"Tao Zheng, Baohang Zhang, Haichuan Yang, Jiayi Li, Shangce Gao","doi":"10.1109/ICNSC52481.2021.9702171","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702171","url":null,"abstract":"The whale optimization algorithm (WOA) is a natural-inspired effective optimization algorithm by imitating the behavior of whales rounding up their prey. Due to the high capacity of WOA in terms of exploitation, it is likely to fall into a local optimum as individuals of WOA lack communication. In this paper, we innovatively enlarge the search range of WOA by performing a differential search for each individual in the population, thus enabling the proposed differential whale optimization algorithm (DWOA) to possess an ability of jumping out of the local optimum and meanwhile accelerating its convergence speed. Experimental results based on IEEE CEC2017 benchmark functions demonstrate the superiority of DWOA in terms of solution quality, population diversity, and convergence speed.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555171","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: 2
Threat Assessment for Aerial Targets Based on Three-way Multi-criteria Decision Making 基于三向多准则决策的空中目标威胁评估
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702251
Lisha Peng, Tao Zhang, Xiaoyu Zhang, Xianzhong Zhou
{"title":"Threat Assessment for Aerial Targets Based on Three-way Multi-criteria Decision Making","authors":"Lisha Peng, Tao Zhang, Xiaoyu Zhang, Xianzhong Zhou","doi":"10.1109/ICNSC52481.2021.9702251","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702251","url":null,"abstract":"Aiming at the threat assessment of aerial targets for intelligent unmanned platforms, a three-way multi-criteria decision model is proposed with ELECTRE-I method. Firstly, ELECTRE-I is used to obtain the outranked sets and the conditional probabilities of targets with respect to the threat degree. Next, the loss function matrix for misclassification is constructed through a transformation mechanism, which is introduced into the three-way decision model along with conditional probability. Furthermore, the objective threat classification and ranking are obtained according to the Bayesian minimum risk evaluation criterion. Finally, the example analysis and experimental comparison are provided to illustrate the validity and superiority of the model.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134138825","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
Co-optimized Unit Commitment Based On Scenario Generation And Electric Vehicles 基于情景发电和电动汽车的协同优化机组承诺
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702155
Yeqi Sun, Bo Wang, Ran Yuan
{"title":"Co-optimized Unit Commitment Based On Scenario Generation And Electric Vehicles","authors":"Yeqi Sun, Bo Wang, Ran Yuan","doi":"10.1109/ICNSC52481.2021.9702155","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702155","url":null,"abstract":"The high penetration of renewable energy brings unprecedented randomness and uncertainty to the power system, which makes the traditional unit commitment (UC) model uneconomical and unreliable. In this paper, we propose a novel wind power scenario generation method based on bidirectional conditional generative adversarial network (BCGAN) which is an improvement based on generative adversarial networks (GAN). Furthermore, we propose a unit commitment model which collaboratively takes the wind power and charging electric vehicles (EVs) into consideration. Finally, several experiments were carried out on a modified IEEE-RTS 96 system to verify the effectiveness of this research.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115583421","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
Chronic Disease Detection Via Non-negative Latent Feature Analysis 通过非阴性潜在特征分析检测慢性疾病
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702154
Leming Zhou, Qing Li, Mingsheng Shang
{"title":"Chronic Disease Detection Via Non-negative Latent Feature Analysis","authors":"Leming Zhou, Qing Li, Mingsheng Shang","doi":"10.1109/ICNSC52481.2021.9702154","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702154","url":null,"abstract":"Chronic diseases such as coronary heart disease (CHD) are of significant harm to human health. However, chronic disease detection commonly relies on many examinations to implement reliable diagnosis, resulting in a fatal delay in therapy. On the other hand, obtained examination data are often incomplete with numerous missing data, which further increases the difficulty in detection. To address this issue, this paper develops an inherently non-negative latent feature analysis-incorporating into a chronic disease detection (INC) model. The main idea are as follows: 1) adopting an inherently non-negative latent feature analysis model with a non-linear function to extract the non-negative latent features from incomplete examination data for accurate prediction of the unknown missing ones; 2) detecting the chronic disease based on the high-dimensional and different types of inspection features via classifiers. Experiments on actual CHD datasets demonstrate that the proposed INC model outperforms state-of-the-art models in detection accuracy, which well fits the desire of preliminary screening on coronary heart disease (CHD).","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120938953","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
Prediction and Analysis of Time Series with the aid of Granular Parallel Support Vector Machine 基于粒度并行支持向量机的时间序列预测与分析
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702186
Lihong Dong, Guan-feng Li, Dan Wang, Gaiyun Liu, Li Zheng
{"title":"Prediction and Analysis of Time Series with the aid of Granular Parallel Support Vector Machine","authors":"Lihong Dong, Guan-feng Li, Dan Wang, Gaiyun Liu, Li Zheng","doi":"10.1109/ICNSC52481.2021.9702186","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702186","url":null,"abstract":"The analysis and prediction of mine pressure in a fully mechanized mining face are of great significance to roof management and the safety of mine production under complex geological conditions. In order to possess the dynamic change of ore pressure data, this study proposes a method of analyzing ore pressure time series using an approximate support vector machine, namely Parallel Support Vector Machine (PSVM), and the regression analysis and prediction of ore pressure data are conducted by utilizing this method. Experiments are carried out based on the data collected in Caojiatan coal of YuBei mining company from May 2020 to June 2020. First, a parabolic fuzzy granule is introduced to the approximate principle of support vector machine (SVM) to adopt the method of cross-validation of relevant parameters optimization. Then, the optimized parameters are applied to train the time series. Finally, a regression predicting fuzzy granule with three parameters is determined to predict the dynamic changes of the pressure data. By comparing the original data with the predicted granular data, especially for the nonlinear data which is difficult to predict, the proposed method shows a better performance in mine pressure prediction and analysis.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125014108","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
Double Loop DR-PID Control of A Rotary Inverted Pendulum 旋转倒立摆的双环DR-PID控制
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702192
He-Ran Li, Zhuo‐Yun Nie, En-Ze Zhu, Wang-Xiang He, Yimin Zheng
{"title":"Double Loop DR-PID Control of A Rotary Inverted Pendulum","authors":"He-Ran Li, Zhuo‐Yun Nie, En-Ze Zhu, Wang-Xiang He, Yimin Zheng","doi":"10.1109/ICNSC52481.2021.9702192","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702192","url":null,"abstract":"A double-loop disturbance rejection proportional-integral-derivative (DR-PID) scheme is proposed in this paper for a rotary inverted pendulum. Firstly, we build the plant model for the rotary inverted pendulum and make linearization. Then, state reconstruction is proposed based on the linearized model such that a double-loop DR-PID control structure is designed for the system. The experiments are carried on based on a embedded real-time hardware-in-loop (HIL) platform Sukung. Convincing experimental results, including a comparative test with a LQR controller, are presented at last, which show that the conrol scheme has an excellent performance on stability and disturbance-rejection.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125129642","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
Research on Contact Force Tracking of Robotic Manipulators Based on Active Disturbance Rejection Control 基于自抗扰控制的机械臂接触力跟踪研究
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702127
Yibo Tu, Weishi Hu, Hui Shao, Gaoliang Li
{"title":"Research on Contact Force Tracking of Robotic Manipulators Based on Active Disturbance Rejection Control","authors":"Yibo Tu, Weishi Hu, Hui Shao, Gaoliang Li","doi":"10.1109/ICNSC52481.2021.9702127","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702127","url":null,"abstract":"The research importance on the robot contact force tracking has been increasing recently due to a need for robots to interact more with the outside world. However, the traditional impedance control cannot avoid transient contact force overshoots and steady-state force tracking error, and take uncertain disturbance into account sufficiently. To address these problems, this paper proposes a strategy for contact force tracking of robotic manipulators based on active disturbance rejection control (ADRC). Firstly, the contact force dynamic between robotic manipulator and the surrounding environment is described as the (nonlinear) Hunt-Crossley (HC) model, rather than the classical (linear) Kelvin-Voigt (KV) model. Secondly, the transition process of contact force is designed for overcoming the defect of excessive instantaneous contact force. Finally, a compliance control based on ADRC is proposed to suppress disturbance forces and ensure the force tracking performance. The simulation results show the correctness and effectiveness of the presented scheme.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178394","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
Precise Coordinated Localization for Swarm Robots via Multidimensional Scaling and Wireless Sensor Networks 基于多维尺度和无线传感器网络的群体机器人精确协调定位
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702194
Xuefei Wu, Han Wu, Bo Xin, Chunlin Chen
{"title":"Precise Coordinated Localization for Swarm Robots via Multidimensional Scaling and Wireless Sensor Networks","authors":"Xuefei Wu, Han Wu, Bo Xin, Chunlin Chen","doi":"10.1109/ICNSC52481.2021.9702194","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702194","url":null,"abstract":"Precise localization has always been a fundamental and vital problem for swarm robots to perform their tasks. In this work we propose a solution with both efficiency and practicability. Iterative multidimensional scaling (MDS) technique and wireless sensor networks (WSN) are combined to achieve accurate localization and auxiliary formation control. Iterative MDS algorithm is utilized to obtain the topology of the robot swarm, i.e., relative positions of all the robots. Radio frequency identification (RFID) is used as reference in the following coordinate transformation process. Then the global localization is achieved with high precision. With a better knowledge of the position of each other, the robots are able to maintain a more orderly formation during movement. The advantages of this method are that the initial point of iteration process is optimized and reference nodes are acquired in an efficient and reliable way. Simulation results have proved the success of the proposed approach.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942950","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
Solving Colored Traveling Salesman Problem via Multi-neighborhood Simulated Annealing Search 用多邻域模拟退火搜索求解有色旅行商问题
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702262
Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, Mengchu Zhou
{"title":"Solving Colored Traveling Salesman Problem via Multi-neighborhood Simulated Annealing Search","authors":"Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, Mengchu Zhou","doi":"10.1109/ICNSC52481.2021.9702262","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702262","url":null,"abstract":"A colored traveling salesman problem (CTSP) is an important variant of the well-known multiple traveling salesman problem, which uses colors to differentiate salesmen’s accessibility to individual cities to be visited. As a highly useful model for some complex scheduling problems, CTSP is NP-hard. A Multi-neighborhood Simulated Annealing Search (MSAS) approach is proposed to solve it in this paper. Starting from an initial solution, it iterates through two complementary neighborhoods: intra-route and inter-route neighborhoods. Experiments on three groups of 60 widely-used benchmark instances show that it achieves highly competitive performance compared to state-of-the-art algorithms. Moreover, MSAS can be integrated into other search methods to further improve performance, which is demonstrated by using a recently proposed iterated two-phase local search.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117129927","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: 2
On the critical value for the modified algebraic Riccati inequality 关于改进的代数Riccati不等式的临界值
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI: 10.1109/ICNSC52481.2021.9702129
Liangyin Zhang, Jiepeng Wang, Michael Z. Q. Chen
{"title":"On the critical value for the modified algebraic Riccati inequality","authors":"Liangyin Zhang, Jiepeng Wang, Michael Z. Q. Chen","doi":"10.1109/ICNSC52481.2021.9702129","DOIUrl":"https://doi.org/10.1109/ICNSC52481.2021.9702129","url":null,"abstract":"This paper deals with a modified algebraic Riccati inequality containing a multiplied parameter. Packet loss, quantization, network coupling, and other factors all contribute to this parameter. There exists a critical value of the parameter such that the Riccati inequality has a positive definite solution and the corresponding networked control and filtering problems are solvable. The critical value is studied, and a specific solution satisfying a stabilizing property is provided for the MARI with zero weighting matrices.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116746071","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
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