Title :
Identification of Hammerstein systems with time-varying piecewise-linear characteristics
Author_Institution :
Dept. of Autom. & Control, Slovak Tech. Univ., Bratislava, Slovakia
Abstract :
This brief deals with the recursive parameter identification of Hammerstein type nonlinear dynamic systems with time-varying piecewise-linear characteristics. A special form of the Hammerstein model, which is linear in parameters, is incorporated into the recursive least squares identification scheme supplemented with the estimation of model internal variables. This enables online estimation of the linear block parameters, the coefficients determining the partition of nonlinearity subdomains and the corresponding linear segment slopes. An illustrative example is included.
Keywords :
least squares approximations; nonlinear dynamical systems; parameter estimation; piecewise linear techniques; recursive estimation; Hammerstein systems; nonlinear dynamic systems; online estimation; parameter identification; recursive least squares identification; time-varying piecewise-linear characteristics; Control system synthesis; Delay effects; Least squares approximation; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Parameter estimation; Piecewise linear techniques; Recursive estimation; Time varying systems; Hammerstein model; identification; nonlinear systems; piecewise-linear nonlinearity; time-varying systems;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2005.853339