Raymond Wu, Jie Lu
ITA Conference 2007
Stable indirect and direct adaptive controllers are presented for a class of input-output feedback linearizable time-varying non-linear systems. The radial basis function neural networks are used as on-line approximators to learn the time-varying characteristics of system parameters. Stability results are given in the paper, and the performance of the indirect and direct adaptive schemes is demonstrated through a fault-tolerant engine control problem where the faults are naturally time-varying.
Raymond Wu, Jie Lu
ITA Conference 2007
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I-SPAN 2002
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003
S.M. Sadjadi, S. Chen, et al.
TAPIA 2009