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Nonparametric model learning adaptive control method (NMLAC) presented in this paper is based on new concepts called pseudo-partial-derivatives (PPD) for a class of nonlinear systems. No structural information, no mathematical model, no training process and no external testing signals are needed. The unmodelled dynamics do not exist. In this paper, nonparametric model learning adaptive control (NMLAC)...
This paper presents an approach towards learning enhanced motion control of DC motor, suitable for applications involving repeated iterations of motion trajectories. The overall structure of the control consists of a feedback and a feed- forward components. The model-free learning adaptive feedback control (MFLAC) provides for the main system stabilization and an iterative learning control (ILC) algorithm...
This paper presents an approach towards learning enhanced motion control of DC motor, suitable for applications involving repeated iterations of motion trajectories. The overall structure of the control consists of a feedback and a feed- forward components. The model-free learning adaptive feedback control (MFLAC) provides for the main system stabilization and an iterative learning control (ILC) algorithm...
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