Title :
Advanced missile guidance with hybrid system models
Author :
Cong, Shan ; Hong, Lang ; Chen, Genshe
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
In this paper, two multiple model guidance laws are proposed: one is called the mixture model guidance, the other is called the cooperative multiple model guidance. Both approaches are suboptimal guidance laws for intercept problems with hybrid system models, and can cooperate with multiple model filtering algorithms, such as the interacting multiple model filter
Keywords :
filtering theory; missile guidance; probability; state estimation; suboptimal control; cooperative multiple model guidance; filtering algorithms; hybrid system models; interception; missile guidance; mixture model guidance; probability; state estimation; suboptimal control; Filtering algorithms; Filters; Missiles; Optimal control; Power system modeling; Predictive models; Riccati equations; State estimation; Statistics; Uncertainty;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.762078
