Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545159
Chaoqing Jia, Jun Hu, Na Lin, Jinpeng Huang, Zhipeng Cao
In this paper, we discuss the variance- constrained robust state estimation problem for a class of state-saturated complex networks (CNs) subject to randomly occurring uncertainties (ROUs), stochastic coupling and Random Access Protocol (RAP). The RAP as a scheduling mode is employed to regulate the transmission sequences among the network nodes. The ROUs and stochastic coupling are both described by Bernoulli random variables with uncertain occurrence probabilities. This paper attempts to provide a variance-constrained robust state estimation method for CNs such that, for all ROUs, stochastic coupling as well as RAP, an upper bound of estimation error covariance is derived by means of designing the estimator gain in a proper way. Furthermore, a sufficient condition is established to ensure that the trace of such upper bound is uniformly bounded. Finally, a numerical simulation is provided to verify the effectiveness of the presented variance-constrained robust state estimation strategy.
{"title":"Robust State Estimation for State-Saturated Complex Networks with Communication Protocol Schedule","authors":"Chaoqing Jia, Jun Hu, Na Lin, Jinpeng Huang, Zhipeng Cao","doi":"10.1109/ICCSSE52761.2021.9545159","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545159","url":null,"abstract":"In this paper, we discuss the variance- constrained robust state estimation problem for a class of state-saturated complex networks (CNs) subject to randomly occurring uncertainties (ROUs), stochastic coupling and Random Access Protocol (RAP). The RAP as a scheduling mode is employed to regulate the transmission sequences among the network nodes. The ROUs and stochastic coupling are both described by Bernoulli random variables with uncertain occurrence probabilities. This paper attempts to provide a variance-constrained robust state estimation method for CNs such that, for all ROUs, stochastic coupling as well as RAP, an upper bound of estimation error covariance is derived by means of designing the estimator gain in a proper way. Furthermore, a sufficient condition is established to ensure that the trace of such upper bound is uniformly bounded. Finally, a numerical simulation is provided to verify the effectiveness of the presented variance-constrained robust state estimation strategy.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"6 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":"123799724","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/ICCSSE52761.2021.9545196
Wang Bu-yun, Sun Wei-dong, Fang Jia-xun
Taking the deduction and evaluation of the anti-surface operation plan(OPLAN) of the naval formation as application background, the corresponding simulation system based on MAXSim was presented. The function requirements, the overall framework, the module composition and the application flow of the simulation was investigated in turn. The simulation model requirements and development methods were emphasized. At last the prototype system was researched. The result indicated that the simulation system could meet the demand of the deduction and evaluation of the anti-surface OPLAN of the naval formation which was an effective method for assisting commander to analyze the operational issues and evaluate the operational plan.
{"title":"Design an Anti-Surface Simulation System of Naval Formation Based on MAXSim","authors":"Wang Bu-yun, Sun Wei-dong, Fang Jia-xun","doi":"10.1109/ICCSSE52761.2021.9545196","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545196","url":null,"abstract":"Taking the deduction and evaluation of the anti-surface operation plan(OPLAN) of the naval formation as application background, the corresponding simulation system based on MAXSim was presented. The function requirements, the overall framework, the module composition and the application flow of the simulation was investigated in turn. The simulation model requirements and development methods were emphasized. At last the prototype system was researched. The result indicated that the simulation system could meet the demand of the deduction and evaluation of the anti-surface OPLAN of the naval formation which was an effective method for assisting commander to analyze the operational issues and evaluate the operational plan.","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":"129824165","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/ICCSSE52761.2021.9545117
Zhang Haidong, Chen Qiuyu, Zhang Chongfa, Dou Yajie, Ma Yufeng, Yang Jun
Quadrocopter UAV is widely used. It is of great significance to study the control of its motion attitude under the action of external wind field. First innovation, this paper builds the basic wind, gust and gradient wind and random wind of composite wind field model, can be very good to the outside world most natural wind simulation, and then combined in the vehicle system dynamics equations of four uav rotorcraft in hover and geodetic coordinate system of the four rotor dynamics equation of unmanned aerial vehicle, build the feedback mechanism model of unmanned aerial vehicle quantified self-adjusting. By analyzing the variation of the unstable wind and the movement state of the quadrotor UAV, the maximum wind speed that the UAV can keep hovering state under the compound wind field can be obtained. The simulation results show that when the wind speed variation factor is 0.2, 0.5 and 0.8, the maximum wind speed that the quadrotor UAV can tolerate is 5.474m/s, 5.300m/s and 5.564m/s, respectively. The research in this paper can provide reference for the attitude adjustment and attitude control of the quadrotor UAV in the wind field. Through theoretical calculation of the model in this paper, the maximum wind speed that the quadrotor UAV can maintain stability in the unstable wind field can be obtained.
{"title":"Stability Research of Quadcopter UAV under Unstable Wind","authors":"Zhang Haidong, Chen Qiuyu, Zhang Chongfa, Dou Yajie, Ma Yufeng, Yang Jun","doi":"10.1109/ICCSSE52761.2021.9545117","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545117","url":null,"abstract":"Quadrocopter UAV is widely used. It is of great significance to study the control of its motion attitude under the action of external wind field. First innovation, this paper builds the basic wind, gust and gradient wind and random wind of composite wind field model, can be very good to the outside world most natural wind simulation, and then combined in the vehicle system dynamics equations of four uav rotorcraft in hover and geodetic coordinate system of the four rotor dynamics equation of unmanned aerial vehicle, build the feedback mechanism model of unmanned aerial vehicle quantified self-adjusting. By analyzing the variation of the unstable wind and the movement state of the quadrotor UAV, the maximum wind speed that the UAV can keep hovering state under the compound wind field can be obtained. The simulation results show that when the wind speed variation factor is 0.2, 0.5 and 0.8, the maximum wind speed that the quadrotor UAV can tolerate is 5.474m/s, 5.300m/s and 5.564m/s, respectively. The research in this paper can provide reference for the attitude adjustment and attitude control of the quadrotor UAV in the wind field. Through theoretical calculation of the model in this paper, the maximum wind speed that the quadrotor UAV can maintain stability in the unstable wind field can be obtained.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"13 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":"123462191","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/ICCSSE52761.2021.9545154
N. Bakhtadze, E. Maximov, N. Maximova
The paper presents an approach to intelligent models development for predicting different parameters of agricultural management. Intelligent predictive models based on knowledge can be built into decision support systems for agricultural producers. Such systems, in turn, allow agricultural producers to make plans and spend their resources more effectively. Based on intelligent analysis of the data, identification models are developed for agricultural commodity price prediction. Modeling results are presented that demonstrate high efficiency of presented approach. Predicted values of agricultural production market price can be used for predicting agricultural enterprise profit and, with using other parameters’ predicted values, could help farmers achieve their business goals more successfully.
{"title":"Local Wheat Price Prediction Models","authors":"N. Bakhtadze, E. Maximov, N. Maximova","doi":"10.1109/ICCSSE52761.2021.9545154","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545154","url":null,"abstract":"The paper presents an approach to intelligent models development for predicting different parameters of agricultural management. Intelligent predictive models based on knowledge can be built into decision support systems for agricultural producers. Such systems, in turn, allow agricultural producers to make plans and spend their resources more effectively. Based on intelligent analysis of the data, identification models are developed for agricultural commodity price prediction. Modeling results are presented that demonstrate high efficiency of presented approach. Predicted values of agricultural production market price can be used for predicting agricultural enterprise profit and, with using other parameters’ predicted values, could help farmers achieve their business goals more successfully.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"15 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":"131514639","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/ICCSSE52761.2021.9545115
Yangdong Zhou, Ziwei Chen, Zhifang Shao
In recent years, with the proportion of renewable energy in the grid continuously increasing, the study of the stability and economics of renewable energy system has become a hot spot. This paper builds a capacity allocation optimization model for a multi-power system including wind power, photovoltaic, thermal power and storage. The model comprehensively considers initial investment costs, operation and maintenance costs, and social benefits as factors that affect the system's economics, with the goal of maximizing the annual profit. The particle swarm algorithm is used to solve the model, and the optimal capacity allocation of each part of the system are given. Finally, in the calculation example, the economics of the system under various modes are compared. The example shows that the model mentioned in this paper has certain feasibility and practical guiding significance in terms of economy and operation effect.
{"title":"Capacity Allocation Optimization and Economic Analysis of Multi-Power System Including Wind Power, Photovoltaic, Thermal Power, and Storage","authors":"Yangdong Zhou, Ziwei Chen, Zhifang Shao","doi":"10.1109/ICCSSE52761.2021.9545115","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545115","url":null,"abstract":"In recent years, with the proportion of renewable energy in the grid continuously increasing, the study of the stability and economics of renewable energy system has become a hot spot. This paper builds a capacity allocation optimization model for a multi-power system including wind power, photovoltaic, thermal power and storage. The model comprehensively considers initial investment costs, operation and maintenance costs, and social benefits as factors that affect the system's economics, with the goal of maximizing the annual profit. The particle swarm algorithm is used to solve the model, and the optimal capacity allocation of each part of the system are given. Finally, in the calculation example, the economics of the system under various modes are compared. The example shows that the model mentioned in this paper has certain feasibility and practical guiding significance in terms of economy and operation effect.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"45 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":"128714151","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}
Artificial potential field (APF) method is a simple and effective method in robot path planning algorithm and has been widely used to plan path for unmanned aerial vehicle (UAV). However, the traditional APF has problems such as the local minima and the target unreachability. These problems can be solved by improving repulsive potential and attractive potential. So, following researches are carried out in this paper. Firstly, a kind of improved repulsive potential is introduced to solve the traditional target unreachable problem due to the goal with obstacles nearby. Then, one improved attractive potential is proposed to solve the common local minima problem in APF method. However, the improved attractive potential may cause a rotation around the target. To solve this problem, attractive potential is improved again. Finally, a series of simulation experiments are carried out and the simulation results show that the proposed method can plan an effective path and has a strong robustness.
{"title":"Improved Research on Target Unreachable Problem of Path Planning Based on Artificial Potential Field for an Unmanned Aerial Vehicle","authors":"Zhao Liangbo, Zhuo Guangsheng, Zhuang Ling, Jia Pinghui","doi":"10.1109/ICCSSE52761.2021.9545105","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545105","url":null,"abstract":"Artificial potential field (APF) method is a simple and effective method in robot path planning algorithm and has been widely used to plan path for unmanned aerial vehicle (UAV). However, the traditional APF has problems such as the local minima and the target unreachability. These problems can be solved by improving repulsive potential and attractive potential. So, following researches are carried out in this paper. Firstly, a kind of improved repulsive potential is introduced to solve the traditional target unreachable problem due to the goal with obstacles nearby. Then, one improved attractive potential is proposed to solve the common local minima problem in APF method. However, the improved attractive potential may cause a rotation around the target. To solve this problem, attractive potential is improved again. Finally, a series of simulation experiments are carried out and the simulation results show that the proposed method can plan an effective path and has a strong robustness.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"162 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":"114377862","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/ICCSSE52761.2021.9545201
Chen Jiang, Baojian Yang, Lu Cao, Dechao Ran
To solve the problem of obstacle avoidance in the process of spacecraft rendezvous and improve the safety of the maneuver, a new control methodology based on interfered fluid dynamical system (IFDS) and finite-time sliding mode control (SMC) is proposed. First, combining the basic principles of IFDS and artificial potential function (APF), a simple feedback control method is designed, which can be compatible with different initial speeds and converge to the target state. Then, considering the influence of obstacles and velocity error to achieve a sliding surface and design the control law. Finally, the stability of the control law is proved by using Lyapunov stability theory. The simulation results show that the new methodology has the ability to avoid obstacles in the approaching process and has good performance.
{"title":"Interfered Fluid Dynamical Controller for Spacecraft Rendezvous with Collision-Free","authors":"Chen Jiang, Baojian Yang, Lu Cao, Dechao Ran","doi":"10.1109/ICCSSE52761.2021.9545201","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545201","url":null,"abstract":"To solve the problem of obstacle avoidance in the process of spacecraft rendezvous and improve the safety of the maneuver, a new control methodology based on interfered fluid dynamical system (IFDS) and finite-time sliding mode control (SMC) is proposed. First, combining the basic principles of IFDS and artificial potential function (APF), a simple feedback control method is designed, which can be compatible with different initial speeds and converge to the target state. Then, considering the influence of obstacles and velocity error to achieve a sliding surface and design the control law. Finally, the stability of the control law is proved by using Lyapunov stability theory. The simulation results show that the new methodology has the ability to avoid obstacles in the approaching process and has good performance.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"173 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":"122006075","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/ICCSSE52761.2021.9545191
Wei-gong Kong, Wei Chen, Zhuzhen Xi
This paper considers the problem of poor control effect of the PID control algorithm in internal mixer temperature control process. Based on the strong robustness of the fuzzy control and the self-learning characteristics of the neural network, a fuzzy RBF neural network controller approach is proposed to improve the control effect for the internal mixer temperature control. The parameters of the neural network are initialized by using the K-means clustering method and the conjugate gradient method is used for optimization training. Examples are provided to illustrate the effectiveness of the proposed method which can improve the control accuracy at the step signal and the sinusoidal signal.
{"title":"Temperature Control of Internal Mixer Based on RBF Neural Network","authors":"Wei-gong Kong, Wei Chen, Zhuzhen Xi","doi":"10.1109/ICCSSE52761.2021.9545191","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545191","url":null,"abstract":"This paper considers the problem of poor control effect of the PID control algorithm in internal mixer temperature control process. Based on the strong robustness of the fuzzy control and the self-learning characteristics of the neural network, a fuzzy RBF neural network controller approach is proposed to improve the control effect for the internal mixer temperature control. The parameters of the neural network are initialized by using the K-means clustering method and the conjugate gradient method is used for optimization training. Examples are provided to illustrate the effectiveness of the proposed method which can improve the control accuracy at the step signal and the sinusoidal signal.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"532 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":"123576184","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/ICCSSE52761.2021.9545153
Ma. Kristin Agbulos, Yovito Sarmiento, J. Villaverde
Rice Leaf Blast Disease and Brown Spot Disease are among the most significant diseases affecting rice cultivation. Monitoring and maintaining rice plants from many diseases are very important to regulate their production. In this study, the key objective was to develop an application that identifies whether a rice leaf has leaf blast or brown spot disease. The You Only Look Once (YOLO) Algorithm was implemented for the development of the system. The YOLO algorithm was trained with a custom dataset of 200 rice leaf images. It was found out that the device’s accuracy for leaf blast disease was 90.00% while the class 2 brown spot disease was at 70.00%. For the third class, which was the unknown disease, the device’s performance resulted in a 100.00% of accuracy. Therefore, it was concluded that the overall accuracy of the device was at 73.33% and the error of commission was only 26.67%.
稻瘟病和褐斑病是影响水稻种植的主要病害。水稻病害的监测和防治对调控水稻生产具有重要意义。在这项研究中，关键目标是开发一种应用程序，以确定水稻叶片是否有叶瘟病或褐斑病。该系统的开发采用了You Only Look Once (YOLO)算法。YOLO算法使用200张水稻叶片图像的自定义数据集进行训练。结果表明，该装置对叶瘟病的检测准确率为90.00%，对2类褐斑病的检测准确率为70.00%。对于第三类，即未知疾病，该设备的性能导致了100.00%的准确率。因此，该装置的总体精度为73.33%，调试误差仅为26.67%。
{"title":"Identification of Leaf Blast and Brown Spot Diseases on Rice Leaf with YOLO Algorithm","authors":"Ma. Kristin Agbulos, Yovito Sarmiento, J. Villaverde","doi":"10.1109/ICCSSE52761.2021.9545153","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545153","url":null,"abstract":"Rice Leaf Blast Disease and Brown Spot Disease are among the most significant diseases affecting rice cultivation. Monitoring and maintaining rice plants from many diseases are very important to regulate their production. In this study, the key objective was to develop an application that identifies whether a rice leaf has leaf blast or brown spot disease. The You Only Look Once (YOLO) Algorithm was implemented for the development of the system. The YOLO algorithm was trained with a custom dataset of 200 rice leaf images. It was found out that the device’s accuracy for leaf blast disease was 90.00% while the class 2 brown spot disease was at 70.00%. For the third class, which was the unknown disease, the device’s performance resulted in a 100.00% of accuracy. Therefore, it was concluded that the overall accuracy of the device was at 73.33% and the error of commission was only 26.67%.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"80 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":"121391823","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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