Title :
A stability theorem for identification and adaptive control
Author :
Silveira, Hamilton M.
Author_Institution :
Dept. of Electr. Eng., Univ. Fed. de Santa Catarina, Florianapolis, Brazil
fDate :
10/1/1999 12:00:00 AM
Abstract :
Establishes a globally convergent algorithm for discrete time model reference adaptive systems, an extension of the classical decreasing gain algorithm. Using this approach, the process, in adaptive control, may contain zeros outside the unit circle if the external reference signal is a solution of a linear homogeneous difference equation
Keywords :
adaptive control; convergence; discrete time systems; identification; matrix algebra; model reference adaptive control systems; stability; classical decreasing gain algorithm; discrete time model reference adaptive systems; globally convergent algorithm; linear homogeneous difference equation; stability theorem; Adaptive control; Adaptive systems; Convergence; Difference equations; Error correction; Programmable control; Signal processing; Signal synthesis; Stability; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
