Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors
The authors consider the problem of robust stabilization of a single input single output nonlinear system. The unknown system nonlinearities are approximated by a fuzzy system, which is then used in order to serve as a basis for a Lyapunov function based adaptive state feedback law.
scientific article; zbMATH DE number 1902820
scientific article