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- W2369348046 abstract "For a class of nonlinear systems,a new learning control algorithm is proposed,which increases iterative learning rule of initial state of system on the base of iterative learning control with variable learning gain.By using the operator theory,it is proved that the output of system can track the expected trajectory completely after the iterative learning of system with initial state disturbance,and the convergent condition for the spectral radius form of the algorithm is given.Compared with the tranditional iterative learning control,the proposed algorithm not only significantly improves the convergent speed,but also solves the initial state disturbance problem of the iterative learning control with variable learning gain.Simulation results show the effectiveness of the proposed algorithm." @default.
- W2369348046 created "2016-06-24" @default.
- W2369348046 creator A5087064821 @default.
- W2369348046 date "2012-01-01" @default.
- W2369348046 modified "2023-09-23" @default.
- W2369348046 title "Iterative learning control of variable gain with initial state study" @default.
- W2369348046 hasPublicationYear "2012" @default.
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