Adaptive parameter identification of linear SISO systems with unknown time-delay

Time-delay systems 0209 industrial biotechnology Parameter estimation 0202 electrical engineering, electronic engineering, information engineering 02 engineering and technology 14. Life underwater System identification 620
DOI: 10.1016/j.sysconle.2014.01.005 Publication Date: 2014-02-14T03:30:50Z
ABSTRACT
Abstract An adaptive online parameter identification is proposed for linear single-input-single-output (SISO) time-delay systems to simultaneously estimate the unknown time-delay and other parameters. After representing the system as a parameterized form, a novel adaptive law is developed, which is driven by appropriate parameter estimation error information. Consequently, the identification error convergence can be proved under the conventional persistent excitation (PE) condition, which can be online tested in this paper. A finite-time (FT) identification scheme is further studied by incorporating the sliding mode scheme into the adaptation to achieve FT error convergence. The previously imposed constraint on the system relative degree is removed and the derivatives of the input and output are not required. Comparative simulation examples are provided to demonstrate the validity and efficacy of the proposed algorithms.
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