Title :
Universal output regulation for nonlinear systems in output feedback form
Author_Institution :
Mech. Eng. Div., Ngee Ann Polytech., Singapore, Singapore
Abstract :
This paper deals with global output regulation via output feedback of a class of uncertain nonlinear systems subjected to a class of unknown disturbances. Both the uncertainty in the system model and the uncertainty in the exosystem are tackled concurrently. The disturbances generated from a unknown linear exosystem are completely compensated. The order of the exosystem is assumed known and the eigenvalues are distinct. The system is assumed in the format of the minimum-phase output feedback form, with no knowledge of the values of the system parameters, including the high-frequency gain. No other assumptions are needed in the control design. A new formulation of state estimation is introduced to ensure the regulation is a global one with respect to state variables. The passivity of the exosystem is exploited to design a new auxiliary error, involving both the unknown parameters of the reformatted exosystem and those of the system, which makes it possible to group the all the unknown parameters in a format suitable to adaptive control design. A Nussbaum gain is introduced to adaptive control to deal with the unknown high frequency gain and a number of control coefficients are also made adaptive so that the regulation is global with respect to unknown frequencies in the disturbances.
Keywords :
adaptive control; control system analysis; eigenvalues and eigenfunctions; feedback; nonlinear systems; state estimation; uncertain systems; Nussbaum gain; adaptive control; auxiliary error; control coefficients; eigenvalues; high frequency gain; nonlinear systems; output feedback; passivity; reformatted exosystem; state estimation; uncertain systems; universal output regulation; unknown disturbances; unknown linear exosystem; Adaptive control; Control design; Eigenvalues and eigenfunctions; Error correction; Frequency; Nonlinear systems; Output feedback; Programmable control; State estimation; Uncertainty;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184963