Practical novel tests for ensuring safe adaptive control

Author

Dehghani, Arvin ; Anderson, Brain D O ; Kennedy, Rodney A.

Author_Institution

Dept. of Inf. Eng., Australian Nat. Univ., Canberra, ACT, Australia

fYear

2008

fDate

9-11 Dec. 2008

Firstpage

708

Lastpage

713

Abstract

In this paper, we further illustrate the versatility and effectiveness of our novel tests for ensuring safe adaptive control in practice. The tests utilize a limited amount of experimental and possibly noisy data obtained from a closed-loop-consisting of an existing known stabilizing controller connected to an unknown plant-to infer if the introduction of a prospective controller will stabilize the unknown plant. The need and importance of this arise in iterative identification and control algorithms, multiple-model adaptive control (MMAC), and multi-controller adaptive switching.

Keywords

adaptive control; closed loop systems; iterative methods; robust control; closed-loop controller; iterative identification; multicontroller adaptive switching; multiple-model adaptive control; safe adaptive control; stabilizing controller; Adaptive control; Control systems; Frequency estimation; Iterative algorithms; Iterative methods; MIMO; Programmable control; Stability criteria; System testing; Transfer functions; Adaptive Control; Iterative Identification and Control; Multiple Model Adaptive Control; Robust Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2008. CDC 2008. 47th IEEE Conference on

Conference_Location

Cancun

ISSN

0191-2216

Print_ISBN

978-1-4244-3123-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2008.4739275

Filename

4739275