Composite adaptive control with locally weighted statistical learning


This paper introduces a probably stable learning adaptive control framework with statistical learning. The proposed algorithm employs nonlinear function approximation with automatic growth of the learning network according to the nonlinearities and the working domain of the control system. The unknown function in the dynamical system is approximated by… (More)
DOI: 10.1016/j.neunet.2004.08.009


9 Figures and Tables


Citations per Year

97 Citations

Semantic Scholar estimates that this publication has 97 citations based on the available data.

See our FAQ for additional information.