Title :
Modified approach to state-space 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 :
11/1/1985 12:00:00 AM
Abstract :
The paper presents a modified approach to state-space self-tuning pole-assignment control. The recursive prediction error method is used for joint state and parameter estimation in the controllable canonical form. This simplifies the state feedback law by eliminating the online computation of transformation matrices. The resulting algorithm is thus a feasible solution to the adaptive control of nonminimum-phase systems.
Keywords :
adaptive control; parameter estimation; poles and zeros; self-adjusting systems; state estimation; state-space methods; adaptive control; nonminimum-phase systems; parameter estimation; recursive prediction error method; state estimation; state feedback law; state-space self-tuning pole-assignment control;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
Conference_Location :
11/1/1985 12:00:00 AM
DOI :
10.1049/ip-d.1985.0045
