Abstract: The paper presents an indirect adaptive fuzzy-neuro control scheme for a general high-order nonlinear continuous system.

Abstract—The paper presents an indirect adaptive fuzzy- neuro control scheme for a general high-order nonlinear continuous system.

The paper presents an indirect adaptive neural control scheme for a general high-order nonlinear continuous system.

In this paper, an indirect adaptive neuro fuzzy controller is proposed for controlling nonlinear affine systems, inspired by the theory of feedback ...

This paper proposes an indirect adaptive fuzzy control scheme for a class of unknown continuous-time nonlinear single-input single-output (SISO) dynamic ...

The paper presents an indirect adaptive neural control scheme for a general high-order nonlinear continuous system. In the proposed scheme a neural ...

This paper investigates new fuzzy model-based observer adaptive control for multi-input multi-output continuous-time nonlinear systems.

Stable indirect adaptive fuzzy-neuro control for a class of nonlinear systems. H. Rong, und G. Zhao. FUZZ-IEEE, Seite 1-8. IEEE, (2010 ). 1. 1. Metadaten.

Within this scheme, the fuzzy systems are employed to approximate the unknown system dynamics. Based on these fuzzy approximations and a Lyapunov synthesis ...

This paper presents a direct adaptive fuzzy control scheme for a class of uncertain continuous-time single-input single-output (SISO) nonaffine nonlinear ...