Switching reconfigurable control based on hidden Markov models

Author

Lemos, J.M. ; Rato, L.M. ; Marques, J.S.

Author_Institution

INESC/IST, Lisbon, Portugal

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

627

Lastpage

632

Abstract

A supervisor algorithm for application in switching reconfigurable control of time varying plants is presented. The possible outcomes of the parameters configuring plant dynamics are described by a hidden Markov model whose state, assumed unavailable for direct observation, is estimated from plant i/o data using a nonlinear filtering algorithm. The use of a shared state representation allows a natural fitting of this supervisor to Predictive Reconfigurable Control.

Keywords

filtering theory; hidden Markov models; nonlinear control systems; predictive control; switching systems (control); hidden Markov models; nonlinear filtering algorithm; predictive reconfigurable control; shared state representation; supervisor algorithm; switching reconfigurable control; time varying plants; Heuristic algorithms; Hidden Markov models; Markov processes; Mathematical model; Polynomials; Silicon; Switches; Fault Tolerant Control; Hidden Markov Models; Nonlinear Filtering; Reconfigurable Control; Supervisor; Switching Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7099375

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=706432