Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Nathan Lutes,
K. Krishnamurthy,
Venkata Sriram Siddhardh Nadendla
et al.
Abstract:Adaptive methods are popular within the control literature due to the flexibility and forgiveness they offer in the area of modelling. Neural network adaptive control is favorable specifically for the powerful nature of the machine learning algorithm to approximate unknown functions and for the ability to relax certain constraints within traditional adaptive control. Deep neural networks are large framework networks with vastly superior approximation characteristics than their shallow counterparts. However, im… Show more
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