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 ; Chapter : 6 ; 99-111
2021-07-23
13 pages
Article/Chapter (Book)
Electronic Resource
English
Signal-Dependent Uncertainty Compensation: A General Framework
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