Reconfigurable internal model control based on adaptive lattice filtering

G. Nikolakopoulos, Antonios Tzes

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)303-314
Number of pages12
JournalMathematics and Computers in Simulation
Volume60
Issue number3-5
DOIs
StatePublished - Sep 30 2002

Fingerprint

Internal Model Control
Reflection Coefficient
Filtering
Filter
Jump System
Low-pass Filter
Compensator
Autoregressive Model
Adaptive Algorithm
Discrete Systems
System Dynamics
Adaptive Control
Transfer Function
Control Algorithm
Cascade
Efficacy
Simulation Study
Controller
Calculate
Path

Keywords

  • Adaptive lattice filter
  • Internal model control
  • Jump systems
  • Reconfigurable control

ASJC Scopus subject areas

  • Information Systems and Management
  • Control and Systems Engineering
  • Applied Mathematics
  • Computational Mathematics
  • Modeling and Simulation

Cite this

Reconfigurable internal model control based on adaptive lattice filtering. / Nikolakopoulos, G.; Tzes, Antonios.

In: Mathematics and Computers in Simulation, Vol. 60, No. 3-5, 30.09.2002, p. 303-314.

Research output: Contribution to journalArticle

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