DocumentCode :
1467086
Title :
Hybrid state-space self-tuning control using dual-rate sampling
Author :
Shieh, Leang S. ; Zhao, Xiao M. ; Sunkel, John W.
Author_Institution :
Dept. of Electr. Eng., Houston Univ., TX, USA
Volume :
138
Issue :
1
fYear :
1991
fDate :
1/1/1991 12:00:00 AM
Firstpage :
50
Lastpage :
58
Abstract :
Presents a hybrid state-space self-tuning control scheme using dual-rate sampling for suboptimal digital adaptive control of linear time-invariant continuous-time multivariable stochastic systems with unknown parameters. An equivalent fast-rate discrete-time state-space innovation model (with estimated states) of the continuous-time system is constructed by using the estimated system parameters and Kalman gain. To utilise the existing optimal regional-pole assignment method developed in the continuous-time domain, the constructed fast-rate discrete-time model is converted into an equivalent continuous-time model for the development of a state-feedback optimal control law with pole placement in a specific region. The developed analogue optimal control law is then converted into an equivalent pseudo-slow-rate digital control law via the proposed digital redesign technique, which can be realised via slow-rate digital electronics
Keywords :
discrete time systems; feedback; multivariable control systems; optimal control; parameter estimation; poles and zeros; sampled data systems; self-adjusting systems; state-space methods; stochastic systems; Kalman gain; continuous-time domain; digital adaptive control; discrete time systems; dual-rate sampling; multivariable stochastic systems; optimal control; parameter estimation; pole assignment; state-feedback; state-space self-tuning control;
fLanguage :
English
Journal_Title :
Control Theory and Applications, IEE Proceedings D
Publisher :
iet
ISSN :
0143-7054
Type :
jour
Filename :
61671
Link To Document :
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