Title :
Adaptive Robust Control of a Class of Nonlinear Dynamic Systems Containing Partially Known Uncertainties
Author :
Brogliato, Bernard ; Trofino-Neto, Alexandre
Author_Institution :
Laboratoire d´´Automatique de Grenoble, URA CNRS 228, Domaine Universitaire, BP 46 38402 Saint-Martin d´´Hÿres, FRANCE
Abstract :
In this paper we deal with robust control of a class of nonlinear systems which contain partially known uncertainties. To cope with the uncertainties an adaptive controller is proposed and both the uniform boundedness of all the closed-loop signals and uniform ultimate boundedness of the system state are guaranted. In contrast with some previous attempts to relax some a priori knowledge on the uncertainties bounds by using a discontinuous control law [8], in this paper we propose a continuous control law. Hence chattering problems (which have practical importance) can be avoided. The results are illustrated with motion control of rigid robot manipulators.
Keywords :
Adaptive control; Binary decision diagrams; Dissolved gas analysis; Programmable control; Robust control; Strontium; Tellurium; Tin; Uncertainty; Variable speed drives;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9