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.
On modified parameter estimators for identification and adaptive control. A unified framework and some new schemes,
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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.