DocumentCode :
2769191
Title :
Nonlinear control of missile dynamics
Author :
Kwan, Chiman ; Xu, Roger ; Liu, Wei ; Tan, Richard ; Haynes, Len
Author_Institution :
Intelligent Autom. Inc., Rockville, MD, USA
Volume :
4
fYear :
1998
fDate :
16-18 Dec 1998
Firstpage :
4685
Abstract :
We propose an approach that combines the merits of both feedback linearization (FL) and an online tuning fuzzy CMAC neural network, and eliminates their weaknesses. In particular, the combined method eliminates the robustness weakness of FL and poor high acceleration tracking performance of fuzzy CMAC controller. The resulting method is robust to both system uncertainties and can track high acceleration manoeuvring targets
Keywords :
acceleration control; cerebellar model arithmetic computers; dynamics; feedback; fuzzy control; fuzzy neural nets; linearisation techniques; missile control; neurocontrollers; nonlinear control systems; tuning; CMAC neural network; acceleration tracking; dynamics; feedback linearization; fuzzy CMAC neural network; fuzzy control; missile control; neurocontrol; nonlinear control systems; online tuning; robustness; Acceleration; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Missiles; Neural networks; Neurofeedback; Robust control; Robustness; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
ISSN :
0191-2216
Print_ISBN :
0-7803-4394-8
Type :
conf
DOI :
10.1109/CDC.1998.762073
Filename :
762073
Link To Document :
بازگشت