Title :
On discrete time error sign identification algorithms with bounded noise
Author :
Kennedy, Peter J.
Abstract :
Modified signed error gradient and least-square identification algorithms are given for both single-input-single-output (SISO) and multiple-input-multiple-output (MIMO) systems with defined convergence characteristics. Convergence properties are obtained in the absence and in the presence of bounded noise. The methods presented are applied to a one-step-ahead adaptive controller. The modified discrete-time error sign gradient algorithm (ESGA) and error sign least-square algorithm (ESLSA) are presented. The ESLSA is applied to the implementation of a one-step-ahead adaptive controller. Simulation results are given
Keywords :
adaptive control; convergence; error analysis; identification; least squares approximations; MIMO systems; SISO systems; bounded noise; convergence characteristics; discrete time error sign identification algorithms; least-square identification; one-step-ahead adaptive controller; Adaptive control; Convergence; Equations; Error correction; Least squares approximation; Least squares methods; MIMO; Programmable control; Signal to noise ratio; Upper bound;
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
DOI :
10.1109/CCA.1992.269740
