Robust convergence of the steepest descent method for data-based control
نویسندگان
چکیده
Iterative data-based controller tuning consists of iterative adjustment of the controller parameters towards the parameter values which minimize an H2 performance criterion. The convergence to the global minimum of the performance criterion depends on the initial controller parameters and on the step size of each iteration. This paper presents convergence properties of iterative algorithms when they are affected by disturbances.
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عنوان ژورنال:
- Int. J. Systems Science
دوره 43 شماره
صفحات -
تاریخ انتشار 2012