Title :
Robust self-tuning control through detecting changes in system dynamics
Author :
Ding, Zhengtao ; Hogg, Brian W.
Author_Institution :
Sch. of Eng., Sussex Univ., Brighton, UK
Abstract :
The proposed recursive estimator for self-tuning control (STC) is based on detection of changes between a reference model, estimated from a long data record, and a local model, estimated from recent data. The reference model is used for control input design and it is replaced by the local model if a hypothesis test shows they are different
Keywords :
estimation theory; model reference adaptive control systems; parameter estimation; self-adjusting systems; stability; control input design; hypothesis test; local model; recursive estimator; reference model; robust self-tuning control; system dynamics; Control systems; Covariance matrix; Data engineering; Detection algorithms; Recursive estimation; Robust control; Signal processing algorithms; Steady-state; Technological innovation; Testing;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325454
