Adaptive model algorithmic control Conference Paper

abstract

• This paper considers the design and analysis of a robust adaptive model algorithmic controller based on the internal model control structure. The Certainty Equivalence principle of adaptive control is used to combine a discrete-time robust adaptive law with a model algorithmic internal model controller to obtain an adaptive model algorithmic internal model control scheme with provable guarantees of stability and robustness. The approach used parallels the earlier results obtained for adaptive internal model control. Nevertheless, there are some important differences which, together with the widespread interest in model algorithmic control, justifies a separate exposition.

authors

• Datta, Aniruddha

published proceedings

• PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6

author list (cited authors)

• Xing, L., & Datta, A.

complete list of authors

• Xing, L||Datta, A

publication date

• January 2001

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

keywords

• Certainty Equivalence Design
• Internal Model Control
• Model Algorithmic Control
• On-line Estimation
• Robustness To Modeling Errors

International Standard Book Number (ISBN) 10

• 0-7803-6495-3

start page

• 4155

end page

• 4160

volume

• 6