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This paper presents the design of a robust iterative learning controller for a class of nonlinear systems with non-parametric uncertainties. The unknown nonlinearities are only required to satisfy the local Lipschitz condition. The learning controller is developed, by using both robust control and iterative learning control methods, which enables to compensate for the shortcoming when either one is...
An approach for secure communication using chaotic systems is proposed, where the information signal to be transmitted is over a finite time interval. A parameter of the chaotic system is modulated by the information signal, and the mechanism for generating the transmitting signal is a pre-specified nonlinear function. Iterative learning identification is applied to recovery the masked signal, which...
In this paper, Lyapunov-based adaptive control is presented for a class of nonlinearly parametrized systems in the presence of periodic disturbances. Through the use of an integral Lyapunov function, the controller singularity problem is elegantly solved as it avoids the nonlinear parametrization from entering into the adaptive control and repetitive control. Both global stability of the adaptive...
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