Several extensions in methods for adaptive output feedback control
Kim, N.; Calise, A.J.
IEEE Transactions on Neural Networks 18(2): 482-494
2007
ISSN/ISBN: 1045-9227 PMID: 17385633 DOI: 10.1109/tnn.2006.885120
Accession: 055737172
Several extensions to neural network (NN)-based adaptive output feedback control of nonlinear systems are developed. An extension from linearly to nonlinearly parameterized NNs is given for a direct adaptive output feedback approach. An extension that permits the introduction of e-modification in both the direct adaptive approach and an error-observer-based approach is also given. Finally, for the case of nonaffine systems, we eliminate a fixed-point assumption that has appeared in earlier work.