On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Mal...On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consis- tent with those based multiple - variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible.展开更多
This paper is concerned with controller design of net- worked control systems （NCSs） with both network-induced delay and arbitrary packet dropout. By using a packet-loss-dependent Lyapunov function, sufficient condi...This paper is concerned with controller design of net- worked control systems （NCSs） with both network-induced delay and arbitrary packet dropout. By using a packet-loss-dependent Lyapunov function, sufficient conditions for state/output feedback stabilization and corresponding control laws are derived via a switched system approach. Different from the existing results, the proposed stabilizing controllers design is dependent on the packet loss occurring in the last two transmission intervals due to the network-induced delay. The cone complementary lineara- tion （CCL） methodology is used to solve the non-convex feasibility problem by formulating it into an optimization problem subject to linear matrix inequality （LMI） constraints. Numerical examples and simulations are worked out to demonstrate the effectiveness and validity of the proposed techniques.展开更多
虚拟电厂(virtual power plant,VPP)可利用异构网络实现分布式新能源聚合调度,实现综合效益提升。为了提高VPP在不同网络下的丢包与时延等非理想传输能力,提出面向异构通信网络的设备接入优化算法。首先,分析总结了VPP设备充放电容量、...虚拟电厂(virtual power plant,VPP)可利用异构网络实现分布式新能源聚合调度,实现综合效益提升。为了提高VPP在不同网络下的丢包与时延等非理想传输能力,提出面向异构通信网络的设备接入优化算法。首先,分析总结了VPP设备充放电容量、出力特性、接入网络时延、网络承载能力等约束条件,考虑异构网络下设备接入的丢包率和时延理论性能构建了以收益损失最小化为目标的优化模型。然后,利用分层求解和贪婪算法进行模型求解,获得设备的接入方式。最后,仿真验证了所提模型和算法的有效性和可靠性。结果表明,所提算法可提高网络接入容量并降低系统收益损失,实现收益最大化。展开更多
基金Supported by Brilliant Youth Fund in Hebei Province
文摘On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consis- tent with those based multiple - variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible.
基金supported by the National Natural Science Foundation of China (6093400761174059)+1 种基金the Program for New Century Excellent Talents (NCET-08-0359)the Shanghai RisingStar Tracking Program (11QH1401300)
文摘This paper is concerned with controller design of net- worked control systems （NCSs） with both network-induced delay and arbitrary packet dropout. By using a packet-loss-dependent Lyapunov function, sufficient conditions for state/output feedback stabilization and corresponding control laws are derived via a switched system approach. Different from the existing results, the proposed stabilizing controllers design is dependent on the packet loss occurring in the last two transmission intervals due to the network-induced delay. The cone complementary lineara- tion （CCL） methodology is used to solve the non-convex feasibility problem by formulating it into an optimization problem subject to linear matrix inequality （LMI） constraints. Numerical examples and simulations are worked out to demonstrate the effectiveness and validity of the proposed techniques.
文摘虚拟电厂(virtual power plant,VPP)可利用异构网络实现分布式新能源聚合调度,实现综合效益提升。为了提高VPP在不同网络下的丢包与时延等非理想传输能力,提出面向异构通信网络的设备接入优化算法。首先,分析总结了VPP设备充放电容量、出力特性、接入网络时延、网络承载能力等约束条件,考虑异构网络下设备接入的丢包率和时延理论性能构建了以收益损失最小化为目标的优化模型。然后,利用分层求解和贪婪算法进行模型求解,获得设备的接入方式。最后,仿真验证了所提模型和算法的有效性和可靠性。结果表明,所提算法可提高网络接入容量并降低系统收益损失,实现收益最大化。
