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Efficient minimal disturbance estimation in estimation based multiple model switched adaptive control

Liu, Jing and French, Mark (2014) Efficient minimal disturbance estimation in estimation based multiple model switched adaptive control IEEE Transactions on Automatic Control, pp. 1-24.

Record type: Article

Abstract

This paper addresses the problem of efficiently solving the minimal disturbance estimation problems in Estimation based Multiple Model Switched Adaptive Control (EMMSAC) for a large set of linear time-invariant candidate plant models. We show that it is possible to approximate the minimal disturbance measure functional of any member in the original set by only using the minimal disturbance measure functionals for a basic candidate plant models set chosen from the original set via a bank of low-pass, high-pass, and band-pass filters. We also analyse the efficiency of the proposed method.

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More information

Submitted date: 2014
Keywords: efficient minimal disturbance estimation, multiple model switched adaptive control, kalman filter, filter bank
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 363498
URI: http://eprints.soton.ac.uk/id/eprint/363498
ISSN: 0018-9286
PURE UUID: f76d4a3e-7e77-491d-909a-2184320bb470

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Date deposited: 25 Mar 2014 14:52
Last modified: 18 Jul 2017 02:39

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Contributors

Author: Jing Liu
Author: Mark French

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