Online identification of continuous-time systems with unknown time delay

Online identification of continuous-time systems with unknown time delay

In this note, we present a recursive algorithm for online identification of systems with unknown time delay. The proposed algorithm can be interpreted as an approximate nonlinear least-squares, corresponding to modified normalized or un-normalized least-squares when the normalizing factor /spl gamma...

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Veröffentlicht in:IEEE transactions on automatic control 2005-09, Vol.50 (9), p.1418-1422
Hauptverfasser: Ren, X.M., Rad, A.B., Chan, P.T., Lo, W.L.
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive control
Applied sciences
Computer science
control theory
systems
Control systems
Control theory. Systems
Delay effects
Delay estimation
Exact sciences and technology
Least-squares algorithm
Limit-cycles
Modelling and identification
Parameter estimation
Polynomials
Signal processing
System identification
time delay systems
Transfer functions
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Beschreibung
Zusammenfassung:In this note, we present a recursive algorithm for online identification of systems with unknown time delay. The proposed algorithm can be interpreted as an approximate nonlinear least-squares, corresponding to modified normalized or un-normalized least-squares when the normalizing factor /spl gamma/>0 or /spl gamma/=0, respectively. Both algorithms are essentially extensions to general least-squares methodology. Simulation studies demonstrate the characteristics and performance of these algorithms.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2005.854640