Several extensions in methods for adaptive output feedback control

Nakwan Kim, Anthony J Calise
IEEE Transactions on Neural Networks 2007, 18 (2): 482-94
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.

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