제어로봇시스템학회:학술대회논문집
- 2000.10a
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- Pages.537-537
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- 2000
Adaptive bounding design for output feedback control using neural networks
- Julian Stoev (School of Electrical Engineering, Seoul National University) ;
- Park, Jin-Young (School of Electrical Engineerng, Seoul National University)
- Published : 2000.10.01
Abstract
The paper is extending output feedback nonlinear control and backstepping approaches to a class of systems approximately diffeomorphic to output feedback systems. The uncertainties under consideration are of two types - parametric and non-parametric. The non-parametric terms are assumed to be bounded by unknown constants. The backstepping procedure is applied to adapt with respect to both parametric uncertainties and the upper bound of non-parametric uncertainties.
Keywords