Variable neural adaptive robust control: a switched system approach.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 25881366.
- Also identified by DOI 10.1109/TNNLS.2014.2327853.
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Abstract
Variable neural adaptive robust control strategies are proposed for the output tracking control of a class of multiinput multioutput uncertain systems. The controllers incorporate a novel variable-structure radial basis function (RBF) network as the self-organizing approximator for unknown system dynamics. It can determine the network structure online dynamically by adding or removing RBFs according to the tracking performance. The structure variation is systematically considered in the stability analysis of the closed-loop system using a switched system approach with the piecewise quadratic Lyapunov function. The performance of the proposed variable neural adaptive robust controllers is illustrated with simulations.
Medical subject headings
- Models, Neurological
- Neural Networks, Computer
- Nonlinear Dynamics