Title :
A modified state-space approach to multivariable self-tuning control with pole assignment
Author :
Omani, F.K. ; Sinha, N.K.
Author_Institution :
McMaster University, Department of Electrical & Computer Engineering, Hamilton, Canada
fDate :
1/1/1987 12:00:00 AM
Abstract :
A method for multivariable self-tuning control is proposed. A recursive-prediction-error type algorithm is used for joint parameter and state estimation in the controller canonical form. Linear-state feedback is then used to arbitrarily place closed-loop poles. The main contribution of the proposed method is that, due to the canonical realisation adopted, online computation of transformation matrices is avoided.
Keywords :
adaptive control; feedback; multivariable control systems; parameter estimation; poles and zeros; self-adjusting systems; state estimation; state-space methods; canonical realisation; closed-loop poles; linear state feedback; multivariable self-tuning control; parameter estimation; pole assignment; recursive-prediction-error; state estimation; state-space approach;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
DOI :
10.1049/ip-d.1987.0005
