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This paper addresses the problem of repetitive control for systems in which the reference input is a periodic signal, with known a period. The sliding mode repetitive controller based on switching-function dynamics is designed to eliminate the disturbances with the same period. In exponential reaching law, the sign function is replaced with power item to decrease chattering and a measure of disturbance-rejection...
This paper presents a finite-time control strategy for uncertain systems with unknown time-invariant parameters. The finite-time adaptive robust controller is designed via Lyapunov approach, where projection-type integral and incremental adaptation laws are applied in estimation of the time-invariant parametric uncertainties, respectively. The terminal attractor is suggested in the adaptive robust...
In this paper, the problem of chaotic secure communication is addressed from an iterative learning perspective, where the plaintext spans over a pre-specified finite-time interval. In the cryptographic scheme, the plaintext is modulated through chaotic parameter modulation, and then chaotically masked by a nonlinear mechanism. An efficient learning algorithm is exploited for decryption, and the sufficient...
This paper addresses the initial shift problem in iterative learning control with system relative degree. The tracking error caused by nonzero initial shift is detected when applying a conventional learning algorithm. Finite initial rectifying action is introduced in the learning algorithm and is shown effective in the improvement of tracking performance, in particular robustness with respect to variable...
Mostavailable results on iterative learning control address trajectorytracking problem for systems without time delay. The effect oftime delay on tracking performance is not yet fully understood.This paper is concerned with iterative learning control designfor the systems with delayed states, where the system class underconsideration is confined by a defined relative degree. A learningcontrol scheme...
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