|Neural-networks-based Adaptive Control for an Uncertain Nonlinear System with Asymptotic Stability
Jongho Shin, Seungkeun Kim*, and Antonios Tsourdos
International Journal of Control, Automation, and Systems, vol. 16, no. 4, pp.1989-2001, 2018
Abstract : "This paper proposes a neural-networks(NN)-based adaptive controller for an uncertain nonlinear system
with asymptotic stability. While the satisfactory performance of the NN-based adaptive controller is validated well
in various uncertain nonlinear systems, the stability is commonly restricted to the uniformly ultimate boundedness(
UUB). To improve the UUB of the NN-based adaptive control to the asymptotically stability(AS) with continuous
control, the existing NN-based adaptive controller is augmented with a robust-integral-signum-error (RISE)
feedback term, and overall closed-loop stability is rigorously analyzed by modifying the typical stability analysis
for the RISE feedback control. To demonstrate the effectiveness of the proposed controller, numerical simulations
for a fault tolerant flight control with a nonlinear F-16 aircraft model are performed."
Adaptive control, asymptotic stability, fault tolerant flight control, neural network, RISE feedback.