关键字：Periodic Adaptive Control; Periodic Least-squares; Nonlinear Data Weighting; Time-varying Nonlinear System

摘要：A new periodic least-squares estimator with nonlinear data weighting is developed and used to design a periodic adaptive control for a simple discrete-time nonlinear system in the presence of time-varying parametric uncertainties. A global stability result is obtained through Lyapunov analysis without assuming any growth conditions on the nonlinearities. Simulation results further confirm the effectiveness of the presented methods.

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