DocumentCode :
3561896
Title :
Adaptive passification of nonlinear systems
Author :
Seron, Maria M. ; Hill, David J. ; Fradkov, Alexander L.
Author_Institution :
Dept. of Electr. Eng., Newcastle Univ., NSW, Australia
Volume :
1
fYear :
1994
Firstpage :
190
Abstract :
In this paper we consider feedback passive systems, defined as nonlinear systems that can be rendered (strictly) passive by means of state feedback. For feedback passive systems in a parametric normal form, we present an adaptive controller that effectively “passifies” the system. The proposed control uses techniques of speed-gradient (S-G) methodology. Stability results can be given which do not require the plant to be linear in the parameters. Moreover, examples indicate that the S-G approach has several good features such as avoiding overparametrization, preserving physical structure and improving the speed of convergence
Keywords :
adaptive control; nonlinear control systems; state feedback; adaptive passification; convergence speed; feedback passive systems; nonlinear systems; overparametrization avoidance; parametric normal form; physical structure preservation; speed-gradient methodology; stability results; state feedback; Adaptive control; Control systems; Convergence; Lakes; Mechanical systems; Motion estimation; Nonlinear control systems; Nonlinear systems; State feedback; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Print_ISBN :
0-7803-1968-0
Type :
conf
DOI :
10.1109/CDC.1994.411023
Filename :
411023
Link To Document :
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