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.
是否译文:否