Direct adaptive control is a widely known control scheme in which the controller attempts to approximate the ideal controller directly. 'Approximators' such as linear mappings, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.
|Number of pages||5|
|Journal||Proceedings of the American Control Conference|
|Publication status||Published - 2000|
ASJC Scopus subject areas
- Control and Systems Engineering