Robust Discrete-Time Iterative Learning Control for Nonlinear Systems With Varying Initial State Shifts.
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| Title: | Robust Discrete-Time Iterative Learning Control for Nonlinear Systems With Varying Initial State Shifts. |
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| Authors: | Deyuan Meng1 dymeng23@126.com, Yingmin Jia1,2 ymjia@buaa.edu.cn, Junping Du3 junpingdu@126.com, Shiying Yuan4 yuansy@hpu.edu.cn |
| Source: | IEEE Transactions on Automatic Control. Nov2009, Vol. 54 Issue 11, p2626-2631. 5p. 1 Graph. |
| Subjects: | Discrete-time systems, Nonlinear systems, Robust control, Mathematical analysis, Mathematics education |
| Abstract: | This note is concerned with the robust discrete-time iterative learning control (ILC) design for nonlinear systems with varying initial state shifts. A two-gain ILC law is considered using a 2-D analysis approach. Sufficient conditions are derived to guarantee both convergence of the learning process for fixed initial condition and boundedness of the tracking error for variable initial condition, It is shown that the error data with anticipation in time can well handle the varying initial state shifts in discrete-time ILC. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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