Simulation-based design of monotonically convergent iterative learning control for nonlinear systems
نویسندگان
چکیده
منابع مشابه
Monotonically convergent iterative learning control for linear discrete-time systems
In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking error norms are derived. By using the Markov parameters, it is shown in the time-domain that there exists a non-increasing function such that when the properly chosen constant learning gain is multiplied by this function, the convergence of the tracking error...
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ژورنال
عنوان ژورنال: Archives of Control Sciences
سال: 2012
ISSN: 1230-2384
DOI: 10.2478/v10170-011-0036-9