The adaptive inverse control technique effectively compensates for uncertain parameters in linear and nonlinear systems. The acquiescent characteristics of Neural networks based AIC for uncertain systems are ensuring much research interest in recent times. Researchers have attempted to solve the adaptive stabilization problem for a class of high-order nonlinear systems with inverse dynamics and nonlinear parameterization with partial state-feedback [1].
NN-Based High-Order Adaptive Compensation Framework for Signal Dependencies
Studies in Systems, Decision and Control
Adaptive Compensation of Nonlinear Actuators for Flight Control Applications ; Kapitel : 6 ; 99-111
23.07.2021
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Signal-Dependent Uncertainty Compensation: A General Framework
Springer Verlag | 2021
|Association Reducts: A Framework for Mining Multi-attribute Dependencies
British Library Conference Proceedings | 2005
|