The Research of Quadrotor Flight Control Based on Reinforcement Learning and ADP
Abstract
Full Text:
PDFReferences
Yidong Yang. Helicopter Flight Control. National Defence Industry Press
.2007
Sentang Wu,Yuhua Fei. Flight Control System. Beijing university of aeronautics and astronautics press.2005
Weilenmann MW, Geering HP. Test bench for rotorcraft hover control. J Guid Control Dyn.1994;17:729–36.
Shim DH, Kim HJ, Sastry S. Decentralized nonlinear model predictive control of multiple flying robots. In: Proc 42nd IEEE conf dec contr, Maui, HI; 2003. p. 3621–6.
AutoCopter express UAV. http://www.autocopter.net/. Cited Aug 2010.
Enns R, Si J. Helicopter flight control design using a learning control approach. In: Proc 39th IEEE conf dec contr, Sydney, Australia; 2000. p. 1754–9.
Wan EA, Bogdanov AA. Model predictive neural control with applications to a 6 DoF helicopter model. In: Proc 2001 American contr
conf, Arlington, VA; 2001. p. 488–93.
Ju Jiang,Mohamed S,Kamel,Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms[J].Proceedings of International Joint Conference on Neural Networks,Orlando,Florida ,USA,2007.
Xin Xu. reinforcement learning and approximate dynamic programming
[M]. Science Press.2010.5
Xin Xu, Dewen Hu, and X.C. Lu., Kernel-Based Least Squares Policy
Iteration for Reinforcement Learning[C]. IEEE Transactions On Neural Networks, Vol. 18, No.4, 2007.
DOI: http://dx.doi.org/10.21535%2FProICIUS.2015.v11.667
Refbacks
- There are currently no refbacks.