Conference paper
Compression for data archiving and backup revisited
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
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.
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
Chidanand Apté, Fred Damerau, et al.
ACM Transactions on Information Systems (TOIS)
Fan Zhang, Junwei Cao, et al.
IEEE TETC
Khalid Abdulla, Andrew Wirth, et al.
ICIAfS 2014