Title :
A new canonical form for an adaptive observer
Author :
Luders, Gerd ; Narendra, Kumpati S.
Author_Institution :
Yale University, New Haven, CN, USA
fDate :
4/1/1974 12:00:00 AM
Abstract :
A new canonical form for an adaptive observer is presented which estimates the state and identifies the parameters of an unknown

th order linear time-invariant system. This is the simplest adaptive observer presented so far in the literature. The adaptive scheme is shown to be globally asymptotically stable, thus guaranteeing the convergence of the identification process.
Keywords :
Adaptive estimation; Linear systems, time-invariant continuous-time; Observers; Parameter identification; State estimation; Convergence; Eigenvalues and eigenfunctions; Equations; Feeds; Observers; Signal generators; Stability; State estimation; State feedback; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1974.1100499