Title :
Sufficient conditions for parameter convergence in linearizable systems
Author_Institution :
Dept. of Electron. Eng., Van Nung Inst. of Technol., Chungli, Taiwan
fDate :
5/1/2003 12:00:00 AM
Abstract :
The major drawback of the adaptive compensation design in the previous paper (2002) in terms of parameter identification is that the criterion for parameter convergence cannot be checked in advance. The purpose of this paper aims at circumventing such difficulties by providing a priori verifiable sufficient conditions that guarantee the asymptotic stability of the parametric equilibrium.
Keywords :
adaptive control; asymptotic stability; convergence; identification; nonlinear systems; SISO systems; adaptive compensation; asymptotic stability; linearizable systems; nonlinear systems; parameter convergence; parameter identification; sufficient conditions; Adaptive systems; Asymptotic stability; Control systems; Convergence; Equations; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control; Sufficient conditions;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.811272
