Reconfigurable internal model control based on adaptive lattice filtering

G Nikolakopoulos and A Tzes

Mathematics and Computers in Simulation (MATCOM), 2002, vol. 60, issue 3, 303-314

Abstract: In this paper a reconfigurable adaptive control (RAC) algorithm is presented. The algorithm relies on lattice filtering and is suitable for linear discrete jump systems. The utilized lattice filter identifies recursively the system’s dynamics as an autoregressive model through the transfer function’s reflection coefficients. In addition, the system’s order is monitored through the magnitude of the estimated reflection coefficients. An internal model control (IMC) structure is employed, where the stable-inverse of the filter is utilized in the forward path in cascade with a gain compensator and a lowpass detuning filter. Upon sudden variations of the estimated system’s order the RA controller reconfigures its structure and calculates the command signal based on the IMC principle. Simulation studies are used to investigate the efficacy of the suggested scheme.

Keywords: Internal model control; Adaptive lattice filter; Reconfigurable control; Jump systems (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475402000228
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:60:y:2002:i:3:p:303-314

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().