Title :
Direct adaptive control using dyadic networks
Author :
Jingyu, Lin ; Zengqi, Sun
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fDate :
28 Sept.-2 Oct. 2004
Abstract :
A new type of wavelet based linearly parameterized network, dyadic network, is proposed in this paper, with application to an inverse dynamic based adaptive control. The function approximation capability of dyadic networks is supported by dyadic wavelet theory. Dyadic networks are easy to construct and the time cost is limited. Simulation results of a flight control system are presented to illustrate the performance of dyadic networks.
Keywords :
adaptive control; aerospace control; function approximation; neural nets; wavelet transforms; direct adaptive control; dyadic network; dyadic wavelet theory; flight control system; function approximation; inverse dynamic control; wavelet based linearly parameterized network; Adaptive control; Aerospace simulation; Computer science; Costs; Discrete wavelet transforms; Function approximation; Multidimensional systems; Neural networks; Neurons; Radial basis function networks;
Conference_Titel :
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8463-6
DOI :
10.1109/IROS.2004.1389757
