期刊文献+

Decoupling Control Method Based on Neural Network for Missiles 被引量:4

Decoupling Control Method Based on Neural Network for Missiles
下载PDF
导出
摘要 In order to make the static state feedback nonlinear decoupling control law for a kind of missile to be easy for implementation in practice, an improvement is discussed. The improvement method is to introduce a BP neural network to approximate the decoupling control laws which are designed for different aerodynamic characteristic points, so a new decoupling control law based on BP neural network is produced after the network training. The simulation results on an example illustrate the approach obtained feasible and effective. In order to make the static state feedback nonlinear decoupling control law for a kind of missile to be easy for implementation in practice, an improvement is discussed. The improvement method is to introduce a BP neural network to approximate the decoupling control laws which are designed for different aerodynamic characteristic points, so a new decoupling control law based on BP neural network is produced after the network training. The simulation results on an example illustrate the approach obtained feasible and effective.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2005年第2期166-169,共4页 北京理工大学学报(英文版)
基金 SponsoredbytheMinisteriallevelAdvancedResearchFoundation(78002153)
关键词 decoupling control relative degree decoupling matrix Lie derivative BP neural network decoupling control relative degree decoupling matrix Lie derivative BP neural network
  • 相关文献

参考文献6

  • 1Gras L C J M,Nijmeijer H.Decoupling in nonlinear systems: From linearity to nonlinearity[].IEE Proceedings.1989
  • 2Lee Sang-yong,Lee Ju-li,Ha In-joong.Nonlinear autopilot for high maneuverability of bank-to-turn missiles[].IEEE Transactions on Aerospace and Electronic Systems.2001
  • 3Carter L H,Shamma J S.Gain-scheduled bank-to-turn autopilot design using linear parameter varying transformation[].Journal of Guidance Control and Dynamics.1996
  • 4Hagan M T,Menhaj M B.Training feedforward networks with the marquardt algorithm[].IEEE Transactions on Neural Networks.1994
  • 5Chen D S,Jain R C.A robust back propagation learning algorithm for function approximation[].IEEE Transactions on Neural Networks.1994
  • 6Fu Lichen,Chang Weider,Yang Junghua,et al.Adaptive robust bank-to-turn missile autopilot design using neural network[].Journal of Guidance Control and Dynamics.1997

同被引文献27

引证文献4

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部