The manner and conditions of running the decision-making system with self-defense electronic jamming are given. After proposing the scenario of applying discrete dynamic Bayesian network to the decision making with se...The manner and conditions of running the decision-making system with self-defense electronic jamming are given. After proposing the scenario of applying discrete dynamic Bayesian network to the decision making with self-defense electronic jamming, a decision-making model with self-defense electronic jamming based on the discrete dynamic Bayesian network is established. Then jamming decision inferences by the aid of the algorithm of discrete dynamic Bayesian network are carried on. The simulating result shows that this method is able to synthesize different targets which are not predominant. In this way, various features at the same time, as well as the same feature appearing at different time complement mutually; in addition, the accuracy and reliability of electronic jamming decision making are enhanced significantly.展开更多
三有源桥(triple active bridge,TAB)变换器可以灵活连接多个电压等级,在直流微网、混合储能等领域受到广泛关注.模型预测控制是提升TAB变换器动态性能、实现端口解耦的有效策略.然而,由于TAB变换器功率传输模型复杂,采用连续集模型预...三有源桥(triple active bridge,TAB)变换器可以灵活连接多个电压等级,在直流微网、混合储能等领域受到广泛关注.模型预测控制是提升TAB变换器动态性能、实现端口解耦的有效策略.然而,由于TAB变换器功率传输模型复杂,采用连续集模型预测控制,代价函数求解极其困难,工程应用价值低.本文结合有限集模型预测控制,首次提出了一种应用于TAB变换器的移相离散集模型预测控制方法.该方法在每个控制周期内通过对有限个离散化的移相角组合进行局部寻优,继而滑动寻优窗口,最终实现全局最优控制.该方法既保证了优异的动态性能、解耦性能,又避免了复杂的非线性方程组求解,极大增强了控制策略的实用性.同时,本文还分析了移相离散集模型预测控制中权重系数、离散增益、预测范围的优化配置.最后,通过实验验证了所提控制策略的有效性.展开更多
基金the National Natural Science Fundation of China (10377014).
文摘The manner and conditions of running the decision-making system with self-defense electronic jamming are given. After proposing the scenario of applying discrete dynamic Bayesian network to the decision making with self-defense electronic jamming, a decision-making model with self-defense electronic jamming based on the discrete dynamic Bayesian network is established. Then jamming decision inferences by the aid of the algorithm of discrete dynamic Bayesian network are carried on. The simulating result shows that this method is able to synthesize different targets which are not predominant. In this way, various features at the same time, as well as the same feature appearing at different time complement mutually; in addition, the accuracy and reliability of electronic jamming decision making are enhanced significantly.
文摘三有源桥(triple active bridge,TAB)变换器可以灵活连接多个电压等级,在直流微网、混合储能等领域受到广泛关注.模型预测控制是提升TAB变换器动态性能、实现端口解耦的有效策略.然而,由于TAB变换器功率传输模型复杂,采用连续集模型预测控制,代价函数求解极其困难,工程应用价值低.本文结合有限集模型预测控制,首次提出了一种应用于TAB变换器的移相离散集模型预测控制方法.该方法在每个控制周期内通过对有限个离散化的移相角组合进行局部寻优,继而滑动寻优窗口,最终实现全局最优控制.该方法既保证了优异的动态性能、解耦性能,又避免了复杂的非线性方程组求解,极大增强了控制策略的实用性.同时,本文还分析了移相离散集模型预测控制中权重系数、离散增益、预测范围的优化配置.最后,通过实验验证了所提控制策略的有效性.
