Title :
Flatness based asymptotic disturbance rejection for linear and nonlinear systems
Author :
Deutscher, J. ; Lohmann, B.
Author_Institution :
Lehrstuhl für Regelungstechnik, Universität Erlangen-Nürnberg, Cauerstraße 7, D-91058 Erlangen, Germany
Abstract :
This contribution presents a flatness based approach for disturbance decoupling and asymptotic disturbance rejection for linear and nonlinear systems with measurable disturbances. Different from previous flatness based approaches the disturbance input is regarded as an additional fictitious input. This on the one hand enlarges the class of systems, where flatness based disturbance decoupling and asymptotic disturbance rejection is feasible, and on the other hand facilitates the control design.
Keywords :
Closed loop systems; Differential equations; Feedforward neural networks; Linear systems; Nonlinear systems; Polynomials; Trajectory; disturbance feedforward; disturbance rejection; flat systems; polynomial approach;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9
