International Journal of Robust and Nonlinear Control · 2004 · 25 citations · 22 references
EngineeringRobust ControlStabilityNonlinear System IdentificationAdaptive Backstepping ControlSystems EngineeringNonlinear SystemsNonlinear Control (Control Engineering)Tracking ControlNonlinear ControlAdaptive Neural NetworkMathematical Control TheoryIntelligent ControlBackstepping TechniqueNeural Network ApproximationsAerospace EngineeringMechanical SystemsBusinessAdaptive ControlNonlinear Control (Business Management)
Abstract In this paper, an adaptive neural network (NN) backstepping technique is developed for tracking control of a class of nonlinear systems. NNs are used to compensate for the unknown nonlinear functions in the system. A systematic backstepping approach is established to synthesize the adaptive NN control scheme that ensures the boundedness of all the signals in the closed‐loop system, and yields a small tracking error. The issue of transient performance is also addressed under an analytical framework. The effectiveness of the proposed scheme is demonstrated by computer simulations. Copyright © 2004 John Wiley & Sons, Ltd.
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