PiEcewise-Linear Output-Error Methods for Parameter Estimation in Direction-Dependent Processes
Paper i proceeding, 2004

In direction-dependent processes, the dynamic responses depend on the direction of the system input. The parameter estimation of these processes under noisy conditions can be somewhat problematic in terms of predictor choice and asymptotic behaviour. For parameter estimation, a convenient way to model direction dependence is to use a piecewise-linear model formulation, whose switching depends on the input direction. This paper analyses a prediction-error minimisation method for direction-dependent processes in terms of piecewise-linear dynamics. In particular, the asymptotic convergence properties are investigated and relevant conditions for the utilisation of the estimation method are given. Further, it is demonstrated that a piecewise-linear output-error predictor is preferable in situations where the impact of disturbances is predominant. The main reason for this is that it separates the disturbances from the process model.

Författare

Fredrik Rosenqvist

Chalmers, Signaler och system, Reglerteknik och automation

Anders Karlström

Chalmers, Signaler och system, Reglerteknik och automation

Lecture Notes in Computer Science

0302-9743 (ISSN)

Vol. 2993 493-507

Ämneskategorier

Reglerteknik

DOI

10.1007/978-3-540-24743-2_33

ISBN

978-3-540-21259-1