DocumentCode
3477638
Title
Direct predictive adaptive control with stochastic gradient identifiers
Author
Giarre, Laura ; Mosca, Edoardo
Author_Institution
Dipartimento di Sistemi e Inf., Firenze Univ., Italy
fYear
1991
fDate
11-13 Dec 1991
Firstpage
1788
Abstract
The multistep multivariable adaptive regulator, which is a direct predictive adaptive controller, is considered. Specifically, the replacement of recursive least squares (RLS) identifiers with stochastic gradient (SG) identifiers in that controller is considered. By an ordinary differential equation analysis, local convergence properties of the algorithm are investigated. The conclusions, supported by various simulation results, are that, in contrast to the case of the one-step-ahead self-tuning regulator, replacement of RLS with SG deteriorates the convergence properties of the resulting adaptive controller
Keywords
adaptive control; least squares approximations; multivariable control systems; predictive control; stochastic systems; MUSMAR; local convergence; multistep multivariable adaptive regulator; one-step-ahead self-tuning regulator; ordinary differential equation analysis; recursive least squares identifiers; stochastic gradient identifiers; Adaptive control; Algorithm design and analysis; Costs; Differential equations; Least squares methods; Linear feedback control systems; Polynomials; Programmable control; Regulators; Resonance light scattering; Sampling methods; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location
Brighton
Print_ISBN
0-7803-0450-0
Type
conf
DOI
10.1109/CDC.1991.261714
Filename
261714
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