Title :
Several Extensions in Methods for Adaptive Output Feedback Control
Author :
Kim, Nakwan ; Calise, Anthony J.
Author_Institution :
Chungnam Nat. Univ., Daejeon
fDate :
3/1/2007 12:00:00 AM
Abstract :
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
Keywords :
adaptive control; feedback; neurocontrollers; nonlinear control systems; observers; adaptive output feedback control; error observer; neural network; nonaffine system; nonlinear system; Adaptive control; Adaptive systems; Control systems; Linear feedback control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Uncertainty; $e$-modification; neural networks (NNs); nonlinear adaptive control; output feedback; parametric uncertainty; Algorithms; Artificial Intelligence; Computer Simulation; Feedback; Information Storage and Retrieval; Models, Theoretical; Neural Networks (Computer); Pattern Recognition, Automated;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2006.885120
