In the field of calculating the attack area of air-to-air missiles in modern air combat scenarios,the limitations of existing research,including real-time calculation,accuracy efficiency trade-off,and the absence of t...In the field of calculating the attack area of air-to-air missiles in modern air combat scenarios,the limitations of existing research,including real-time calculation,accuracy efficiency trade-off,and the absence of the three-dimensional attack area model,restrict their practical applications.To address these issues,an improved backtracking algorithm is proposed to improve calculation efficiency.A significant reduction in solution time and maintenance of accuracy in the three-dimensional attack area are achieved by using the proposed algorithm.Furthermore,the age-layered population structure genetic programming(ALPS-GP)algorithm is introduced to determine an analytical polynomial model of the three-dimensional attack area,considering real-time requirements.The accuracy of the polynomial model is enhanced through the coefficient correction using an improved gradient descent algorithm.The study reveals a remarkable combination of high accuracy and efficient real-time computation,with a mean error of 91.89 m using the analytical polynomial model of the three-dimensional attack area solved in just 10^(-4)s,thus meeting the requirements of real-time combat scenarios.展开更多
针对直流微电网系统中双有源桥(Dual active bridge,DAB)变换器存在的直流母线电压和负载波动大、传输功率不稳定等问题,提出一种基于遗传算法的自抗扰控制与梯度下降算法优化回流功率的混合优化控制策略。首先,分析拓展移相调制下DAB...针对直流微电网系统中双有源桥(Dual active bridge,DAB)变换器存在的直流母线电压和负载波动大、传输功率不稳定等问题,提出一种基于遗传算法的自抗扰控制与梯度下降算法优化回流功率的混合优化控制策略。首先,分析拓展移相调制下DAB变换器的拓扑结构和功率特性,以回流功率为损失函数,引入梯度下降算法迭代寻找最优内移相比。随后,在DAB变换器小信号建模的基础上,设计线性自抗扰控制器,通过扩张状态观测器对输出电压和系统内外部扰动进行观测估计。同时,考虑到复杂环境下自抗扰控制器参数整定的不确定性,引入遗传算法对自抗扰控制器进行参数自整定。最后,搭建以TMS320F28335为控制器的试验平台对提出的混合优化控制策略(Hybrid optimal control strategy under extended phase shift modulation,EPS-HOCS)和传统PI控制(PI control strategy under extended phase shift modulation,EPS-PI)和自适应梯度下降算法控制(Adaptive gradient descent algorithm under extended phase shift modulation,EPS-AGDA)进行分析对比,验证了所提策略在回流功率和动态性能方面的优越性。展开更多
提出CF-WFCM算法,该算法分为属性权重学习算法和聚类算法两部分.属性权重学习算法,从数据自身的相似性出发,通过梯度递减算法极小化属性评价函数CFuzziness(w),为每个属性赋予一个权重.将属性权重应用于Fuzzy C Mean聚类算法,得到CF-WFC...提出CF-WFCM算法,该算法分为属性权重学习算法和聚类算法两部分.属性权重学习算法,从数据自身的相似性出发,通过梯度递减算法极小化属性评价函数CFuzziness(w),为每个属性赋予一个权重.将属性权重应用于Fuzzy C Mean聚类算法,得到CF-WFCM算法的聚类算法.CF-WFCM算法强化重要属性在聚类过程中的作用,消减冗余属性的作用,从而改善聚类的效果.我们选取了部分UCI数据库进行实验,实验结果证明:CF-WFCM算法的聚类结果优于FCM算法的聚类结果.函数CFuzziness(w)不仅可以评价属性的重要性,而且可以评价属性评价函数的优劣.实验说明了这一问题.最后我们对CF-WFCM算法进行了讨论.展开更多
基金National Natural Science Foundation of China(62373187)Forward-looking Layout Special Projects(ILA220591A22)。
文摘In the field of calculating the attack area of air-to-air missiles in modern air combat scenarios,the limitations of existing research,including real-time calculation,accuracy efficiency trade-off,and the absence of the three-dimensional attack area model,restrict their practical applications.To address these issues,an improved backtracking algorithm is proposed to improve calculation efficiency.A significant reduction in solution time and maintenance of accuracy in the three-dimensional attack area are achieved by using the proposed algorithm.Furthermore,the age-layered population structure genetic programming(ALPS-GP)algorithm is introduced to determine an analytical polynomial model of the three-dimensional attack area,considering real-time requirements.The accuracy of the polynomial model is enhanced through the coefficient correction using an improved gradient descent algorithm.The study reveals a remarkable combination of high accuracy and efficient real-time computation,with a mean error of 91.89 m using the analytical polynomial model of the three-dimensional attack area solved in just 10^(-4)s,thus meeting the requirements of real-time combat scenarios.
文摘针对直流微电网系统中双有源桥(Dual active bridge,DAB)变换器存在的直流母线电压和负载波动大、传输功率不稳定等问题,提出一种基于遗传算法的自抗扰控制与梯度下降算法优化回流功率的混合优化控制策略。首先,分析拓展移相调制下DAB变换器的拓扑结构和功率特性,以回流功率为损失函数,引入梯度下降算法迭代寻找最优内移相比。随后,在DAB变换器小信号建模的基础上,设计线性自抗扰控制器,通过扩张状态观测器对输出电压和系统内外部扰动进行观测估计。同时,考虑到复杂环境下自抗扰控制器参数整定的不确定性,引入遗传算法对自抗扰控制器进行参数自整定。最后,搭建以TMS320F28335为控制器的试验平台对提出的混合优化控制策略(Hybrid optimal control strategy under extended phase shift modulation,EPS-HOCS)和传统PI控制(PI control strategy under extended phase shift modulation,EPS-PI)和自适应梯度下降算法控制(Adaptive gradient descent algorithm under extended phase shift modulation,EPS-AGDA)进行分析对比,验证了所提策略在回流功率和动态性能方面的优越性。
文摘提出CF-WFCM算法,该算法分为属性权重学习算法和聚类算法两部分.属性权重学习算法,从数据自身的相似性出发,通过梯度递减算法极小化属性评价函数CFuzziness(w),为每个属性赋予一个权重.将属性权重应用于Fuzzy C Mean聚类算法,得到CF-WFCM算法的聚类算法.CF-WFCM算法强化重要属性在聚类过程中的作用,消减冗余属性的作用,从而改善聚类的效果.我们选取了部分UCI数据库进行实验,实验结果证明:CF-WFCM算法的聚类结果优于FCM算法的聚类结果.函数CFuzziness(w)不仅可以评价属性的重要性,而且可以评价属性评价函数的优劣.实验说明了这一问题.最后我们对CF-WFCM算法进行了讨论.
