An all state constrained decentralized adaptive implicit inversion control scheme is proposed for a class of large scale nonlinear asymmetric saturation hysteretic systems with unknown time delay. Firstly, to improve the transient performance, the asymmetric barrier Lyapunov function is introduced to ensure that the error surface will not exceed within an appropriate range, which is necessary in engineering practice. Secondly, the transmission delay between subsystems is compensated by neural network approximator. According to the finite coverage lemma, only a limited number of previous state values are needed. Finally, the modified implicit inversion is employed to compensate for the adverse effects of the saturation hysteresis. All closed-loop signals are proved to be globally uniformly bounded and the tracking errors converge to a residual set that can be made arbitrarily small. Simulation results on two-machine excitation power systems are presented to illustrate the effectiveness of the proposed scheme.
{"title":"Decentralized Adaptive Control for a Class of Large Scale Nonlinear Asymmetric Saturation Hysteretic Systems with All States Constrained","authors":"Xiurong Ou, Shunjiang Wang, Hua Li, Hongwei Xin, Guoqiang Zhu, Xiuyu Zhang","doi":"10.1109/ICCSSE52761.2021.9545206","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545206","url":null,"abstract":"An all state constrained decentralized adaptive implicit inversion control scheme is proposed for a class of large scale nonlinear asymmetric saturation hysteretic systems with unknown time delay. Firstly, to improve the transient performance, the asymmetric barrier Lyapunov function is introduced to ensure that the error surface will not exceed within an appropriate range, which is necessary in engineering practice. Secondly, the transmission delay between subsystems is compensated by neural network approximator. According to the finite coverage lemma, only a limited number of previous state values are needed. Finally, the modified implicit inversion is employed to compensate for the adverse effects of the saturation hysteresis. All closed-loop signals are proved to be globally uniformly bounded and the tracking errors converge to a residual set that can be made arbitrarily small. Simulation results on two-machine excitation power systems are presented to illustrate the effectiveness of the proposed scheme.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601604","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545093
Yue-Ping Zhang, Qiang Li
In this study, problems of finite-time projective synchronization of neural networks with uncertainties are investigated using adaptive fault-tolerant control methods. When the system parameters are known or unknown, different adaptive controllers are designed. The fault-tolerant controller is designed to ensure that the drive response system can achieve synchronization in finite time. Finally, the validity of the method and the correctness of the theoretical results are verified by two kinds of numerical simulation.
{"title":"Finite-Time Projective Synchronization of Neural Networks with Uncertainties via Adaptive Fault-Tolerant Control","authors":"Yue-Ping Zhang, Qiang Li","doi":"10.1109/ICCSSE52761.2021.9545093","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545093","url":null,"abstract":"In this study, problems of finite-time projective synchronization of neural networks with uncertainties are investigated using adaptive fault-tolerant control methods. When the system parameters are known or unknown, different adaptive controllers are designed. The fault-tolerant controller is designed to ensure that the drive response system can achieve synchronization in finite time. Finally, the validity of the method and the correctness of the theoretical results are verified by two kinds of numerical simulation.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123223850","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545166
Ke Chen, Yue You, Guangyu Luo, Xuan Guo
For the formation control problem of UUV, the problem is decomposed into single UUV path tracking problem and multi-UUV formation control problem, the single UUV path tracker is designed based on the backstepping method, and the system stability is verified by using Lyapunov function, the traditional artificial potential field method is improved for the local.The virtual navigator is introduced to design the multi-UUV formation control system, and finally the RMS-100S is used for the real ship test. The test results show that the established multi-UUV formation control system can effectively realize formation change and hold, and the response time of formation change is kept within 100s, and the distance error is kept within 1m after the formation is stabilized.
{"title":"Improved Multi-UUV Formation Control for Artificial Potential Fields and Virtual Navigators","authors":"Ke Chen, Yue You, Guangyu Luo, Xuan Guo","doi":"10.1109/ICCSSE52761.2021.9545166","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545166","url":null,"abstract":"For the formation control problem of UUV, the problem is decomposed into single UUV path tracking problem and multi-UUV formation control problem, the single UUV path tracker is designed based on the backstepping method, and the system stability is verified by using Lyapunov function, the traditional artificial potential field method is improved for the local.The virtual navigator is introduced to design the multi-UUV formation control system, and finally the RMS-100S is used for the real ship test. The test results show that the established multi-UUV formation control system can effectively realize formation change and hold, and the response time of formation change is kept within 100s, and the distance error is kept within 1m after the formation is stabilized.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130464061","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545124
Xu Jingyu, Yu Songbai, W. Hong
In this paper, the main contents of product assurance for satellite control system are extracted, and the technical risks and risk assessment in the process of satellite control system development are put forward. Aiming at the risk of satellite control system development, this paper puts forward a practical method of product assurance for control system, which adopts product assurance from product design, development, test and verification. Through a series of product assurance work, the problem of identifying and verifying the risk content in the process of developing the system is solved, and finally the risk quantification result of the satellite control system is evaluated. The risk index of satellite control system is greatly reduced. Through a series of product assurance work, the center of quality assurance of satellite control system is moved forward, and the quality of control system is guaranteed.
{"title":"Practice Methods of Product Assurance for Satellite Control System","authors":"Xu Jingyu, Yu Songbai, W. Hong","doi":"10.1109/ICCSSE52761.2021.9545124","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545124","url":null,"abstract":"In this paper, the main contents of product assurance for satellite control system are extracted, and the technical risks and risk assessment in the process of satellite control system development are put forward. Aiming at the risk of satellite control system development, this paper puts forward a practical method of product assurance for control system, which adopts product assurance from product design, development, test and verification. Through a series of product assurance work, the problem of identifying and verifying the risk content in the process of developing the system is solved, and finally the risk quantification result of the satellite control system is evaluated. The risk index of satellite control system is greatly reduced. Through a series of product assurance work, the center of quality assurance of satellite control system is moved forward, and the quality of control system is guaranteed.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127044253","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545100
Yuan Yu, Jinsheng Ren, W. Cui, Hua Yan, Weimin Yang
The fixed-point vulcanization can be used to reduce the defects in the tire vulcanization for the green tire and the adverse impacts on the uniformity and dynamic balance of the finished tire. In order to implement the fixed-point vulcanization of the green tire and improve the uniformity and dynamic balance of the tire, the dual-cylinder rotary manipulator is designed for fixed-point tire vulcanization using Siemens NX software. The rotary cylinder drives the gripping mechanism to rotate and identify code of the green tire and then locates the circumferential position of the green tire. The piston cylinder drives the manipulator claws and make a telescopic movement to grip or release the green tire. The structure static analyses on the key components such as bolts, horizontal adjustment joints, connecting arms and guide pillars of the manipulator are carried out using ABAQUS software. The simulation results show that the designed manipulator meets the requirements of strength and accuracy.
{"title":"Design and Static Analysis of Rotary Manipulator for Fixed-point Tire Vulcanization","authors":"Yuan Yu, Jinsheng Ren, W. Cui, Hua Yan, Weimin Yang","doi":"10.1109/ICCSSE52761.2021.9545100","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545100","url":null,"abstract":"The fixed-point vulcanization can be used to reduce the defects in the tire vulcanization for the green tire and the adverse impacts on the uniformity and dynamic balance of the finished tire. In order to implement the fixed-point vulcanization of the green tire and improve the uniformity and dynamic balance of the tire, the dual-cylinder rotary manipulator is designed for fixed-point tire vulcanization using Siemens NX software. The rotary cylinder drives the gripping mechanism to rotate and identify code of the green tire and then locates the circumferential position of the green tire. The piston cylinder drives the manipulator claws and make a telescopic movement to grip or release the green tire. The structure static analyses on the key components such as bolts, horizontal adjustment joints, connecting arms and guide pillars of the manipulator are carried out using ABAQUS software. The simulation results show that the designed manipulator meets the requirements of strength and accuracy.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127358144","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545203
Ke Yongsheng, Wu Rui, G. Xuan, Luo Guangyu
The traditional ant colony algorithm is improved for the TSP extension problem when multi-objective task assignment is performed by a group homogeneous UUV. Based on the traditional ant colony algorithm and the TSP problem, the TSP problem model is extended to improve the initial information, the taboo table, the location state probability calculation formula, and the pheromone concentration update method to create an improved ant colony algorithm, and simulations are performed with three different evaluation functions: path, time, and path-time, respectively. The experimental results show that the optimal solution can be reached simultaneously by using path evaluation function and time evaluation function, and the solution is gradually optimized by using path-time evaluation function, and finally reaches the optimal solution. The improved ant colony algorithm not only solves the multi-individual and multi-objective task assignment, but also can significantly improve the work efficiency and effectively reduce the cost.
{"title":"Research on Multi-objective Task Assignment Scheme Based on Group Isomorphism UUV","authors":"Ke Yongsheng, Wu Rui, G. Xuan, Luo Guangyu","doi":"10.1109/ICCSSE52761.2021.9545203","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545203","url":null,"abstract":"The traditional ant colony algorithm is improved for the TSP extension problem when multi-objective task assignment is performed by a group homogeneous UUV. Based on the traditional ant colony algorithm and the TSP problem, the TSP problem model is extended to improve the initial information, the taboo table, the location state probability calculation formula, and the pheromone concentration update method to create an improved ant colony algorithm, and simulations are performed with three different evaluation functions: path, time, and path-time, respectively. The experimental results show that the optimal solution can be reached simultaneously by using path evaluation function and time evaluation function, and the solution is gradually optimized by using path-time evaluation function, and finally reaches the optimal solution. The improved ant colony algorithm not only solves the multi-individual and multi-objective task assignment, but also can significantly improve the work efficiency and effectively reduce the cost.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130244126","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545167
Jing Ren, Xishi Huang
Using mobile robots for transportation in a warehouse is becoming more and more common. Compared with human staff, these robots can handle the goods more accurately and more efficiently. Using robots can greatly reduce the operation cost of a warehouse. Optimal path planning for these robots can reduce the transportation time, guarantee the safety of the people in the warehouse, and reduce the goods delivery time and increase daily output. In this paper, we propose an optimal path planning algorithm for the mobile robot using deep reinforcement learning (DRL). Potential fields are employed to guide to collect better quality training data to improve data efficiency. The simulation results have shown that DRL can successfully reach the goal position and avoid collision with the obstacles using the potential fields guided trail-and-error method.
{"title":"Potential Fields Guided Deep Reinforcement Learning for Optimal Path Planning in a Warehouse","authors":"Jing Ren, Xishi Huang","doi":"10.1109/ICCSSE52761.2021.9545167","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545167","url":null,"abstract":"Using mobile robots for transportation in a warehouse is becoming more and more common. Compared with human staff, these robots can handle the goods more accurately and more efficiently. Using robots can greatly reduce the operation cost of a warehouse. Optimal path planning for these robots can reduce the transportation time, guarantee the safety of the people in the warehouse, and reduce the goods delivery time and increase daily output. In this paper, we propose an optimal path planning algorithm for the mobile robot using deep reinforcement learning (DRL). Potential fields are employed to guide to collect better quality training data to improve data efficiency. The simulation results have shown that DRL can successfully reach the goal position and avoid collision with the obstacles using the potential fields guided trail-and-error method.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130435978","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545150
Yadong Wang, Jin Li, Ruocong Yang, Zexuan Wang, Yue Zhang
YOLO v3 is widely used in industry because of its high detection accuracy and speed, but there is a problem that it can only output accurate position coordinates and cannot predict the localization uncertainty of bbox. To solve this problem, an improved YOLO v3 algorithm is proposed. By increasing the output of position parameters and predicting localization uncertainty of bbox with Gaussian modeling to remove the boxes with high bbox uncertainty in the detection process. A new Localization loss function is designed on the basis of increasing the output of bbox coordinates. Batch Normalization layer and Convolution layer are combined to reduce the use of video memory space and improve network performance. The experimental results show that the mAP50 of the improved YOLO v3 algorithm in the helmet wearing test set is improved by 7.99%.
{"title":"Object Recognition Algorithm for Complex Scenes Based on Improved YOLO v3","authors":"Yadong Wang, Jin Li, Ruocong Yang, Zexuan Wang, Yue Zhang","doi":"10.1109/ICCSSE52761.2021.9545150","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545150","url":null,"abstract":"YOLO v3 is widely used in industry because of its high detection accuracy and speed, but there is a problem that it can only output accurate position coordinates and cannot predict the localization uncertainty of bbox. To solve this problem, an improved YOLO v3 algorithm is proposed. By increasing the output of position parameters and predicting localization uncertainty of bbox with Gaussian modeling to remove the boxes with high bbox uncertainty in the detection process. A new Localization loss function is designed on the basis of increasing the output of bbox coordinates. Batch Normalization layer and Convolution layer are combined to reduce the use of video memory space and improve network performance. The experimental results show that the mAP50 of the improved YOLO v3 algorithm in the helmet wearing test set is improved by 7.99%.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127940161","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545152
Xu Lyu, B. Hu, Jiayu Tian
Aiming to improve the reliability of the SINS/GPS integrated navigation system, considering that the traditional residual chi-square detection method is not efficient in detecting small mutations and slow mutations. An information fault detection method for integrated navigation system based on AR measurement modeling is proposed. This method establishes an AR model of the measured data under no-fault conditions, and combines the Kalman filter model to obtain the measured predicted value for residual calculation. It avoids that the traditional residual chi-square detection method introduces observation pollution data, which leads to the failure of detection statistics tracking, is insensitive to slowly changing failures, and reduces the impact of alarm loss rate on data reliability. The simulation experiment results show that the application of this method in the SINS/GPS integrated navigation system can effectively improve the fault tolerance of the integrated navigation system against slow changes or even small-scale faults, which verifies the effectiveness of the algorithm.
{"title":"The Method of Data Fault Detection of the Integrated Navigation System Based on AR Measurement Modling","authors":"Xu Lyu, B. Hu, Jiayu Tian","doi":"10.1109/ICCSSE52761.2021.9545152","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545152","url":null,"abstract":"Aiming to improve the reliability of the SINS/GPS integrated navigation system, considering that the traditional residual chi-square detection method is not efficient in detecting small mutations and slow mutations. An information fault detection method for integrated navigation system based on AR measurement modeling is proposed. This method establishes an AR model of the measured data under no-fault conditions, and combines the Kalman filter model to obtain the measured predicted value for residual calculation. It avoids that the traditional residual chi-square detection method introduces observation pollution data, which leads to the failure of detection statistics tracking, is insensitive to slowly changing failures, and reduces the impact of alarm loss rate on data reliability. The simulation experiment results show that the application of this method in the SINS/GPS integrated navigation system can effectively improve the fault tolerance of the integrated navigation system against slow changes or even small-scale faults, which verifies the effectiveness of the algorithm.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131735416","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}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545120
Lin Gong, Renjie Xu, Jian Xie, Yingjie Lin
Understanding the impact of individual armament’s contribution on armament system-of-systems (ASoS) is imperative for system designers to better measure combat effect and develop more competitive systems in the development stage. However, existing approaches do not consider the impact of the warfare scenario on the assessment when facing multiple combat missions. In this paper, we proposed a method based on interval-valued function to evaluate the contribution rate of ASoS in different combat scenarios. Firstly, a capability index system based on combat missions was established, and system-of-systems evaluation scenarios were generated. Then, the interval-valued function was introduced into a capability demand satisfaction degree model. Finally, the contribution rate of ASoS was evaluated and revised based on TOPSIS and grey entropy model. Afterward, an air-combat scenario was utilized as a case study to exemplify the implementation of the proposed approach and subsequently demonstrated its validity. The results show that our approach can effectively evaluate the contribution rate of ASoS in different scenarios, which can help us better identify the priority and provide theoretical support for the development and adoption of armament.
{"title":"Research on Contribution Rate Evaluation of Armament System-of-Systems Based on Interval-Value Function*","authors":"Lin Gong, Renjie Xu, Jian Xie, Yingjie Lin","doi":"10.1109/ICCSSE52761.2021.9545120","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545120","url":null,"abstract":"Understanding the impact of individual armament’s contribution on armament system-of-systems (ASoS) is imperative for system designers to better measure combat effect and develop more competitive systems in the development stage. However, existing approaches do not consider the impact of the warfare scenario on the assessment when facing multiple combat missions. In this paper, we proposed a method based on interval-valued function to evaluate the contribution rate of ASoS in different combat scenarios. Firstly, a capability index system based on combat missions was established, and system-of-systems evaluation scenarios were generated. Then, the interval-valued function was introduced into a capability demand satisfaction degree model. Finally, the contribution rate of ASoS was evaluated and revised based on TOPSIS and grey entropy model. Afterward, an air-combat scenario was utilized as a case study to exemplify the implementation of the proposed approach and subsequently demonstrated its validity. The results show that our approach can effectively evaluate the contribution rate of ASoS in different scenarios, which can help us better identify the priority and provide theoretical support for the development and adoption of armament.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126305573","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}
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