Introduces CLBC strategy with high-order tuners and composite learning for exponential stability and parameter convergence under IE or partial IE, using extra prediction error for transients.
Exponential parameter and tracking error convergence guarantees for adaptive controllers without persistency of excitation
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Composite learning control with modular backstepping and high-order tuners
Introduces CLBC strategy with high-order tuners and composite learning for exponential stability and parameter convergence under IE or partial IE, using extra prediction error for transients.