Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Control of Nonlinear Systems using Local Approximation Methods
Brablc, Martin ; Bugeja, Marvin (oponent) ; Grepl, Robert (vedoucí práce)
This thesis deals with the development of an adaptive control algorithm for a specific class of electromechanical actuators, based on the feedforward compensation principle using an inverse dynamic model. The control algorithm's adaptability originates in a mechanism of learning the inverse dynamic model. This thesis focuses on using local approximation methods for an online inverse model learning. The outcome of this thesis is a summary of the analysis, simulations and actual experiments, which tested the possibilities of using the local approximation methods for adaptive control purposes in real environment.
Control of Nonlinear Systems using Local Approximation Methods
Brablc, Martin ; Bugeja, Marvin (oponent) ; Grepl, Robert (vedoucí práce)
This thesis deals with the development of an adaptive control algorithm for a specific class of electromechanical actuators, based on the feedforward compensation principle using an inverse dynamic model. The control algorithm's adaptability originates in a mechanism of learning the inverse dynamic model. This thesis focuses on using local approximation methods for an online inverse model learning. The outcome of this thesis is a summary of the analysis, simulations and actual experiments, which tested the possibilities of using the local approximation methods for adaptive control purposes in real environment.

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