Topic
System identification
About: System identification is a research topic. Over the lifetime, 21291 publications have been published within this topic receiving 439142 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, an orthogonal least-squares algorithm is derived that can determine the term to regress upon, detect significant terms in the model expansion, and provide the final parameter estimates.
Abstract: The identification of a non-linear output-affine difference equation model is considered. An orthogonal least-squares algorithm is derived that can determine the term to regress upon, detect significant terms in the model expansion, and provide the final parameter estimates. It is shown that the orthogonal property of the algorithm results in a particularly simple estimation routine and simulated examples are included to illustrate the techniques.
205 citations
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TL;DR: An approach to fault diagnosis for a class of nonlinear systems is proposed, based on a new adaptive estimation algorithm for recursive estimation of the parameters related to faults, designed in a constructive manner through a nontrivial combination of a high gain observer and a recently developed linear adaptive observer.
205 citations
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TL;DR: The main contribution is some new insights into the numerical real-time implementation of a compensator for disturbances describable by one of various LuGre-type models.
Abstract: A tracking problem for a mechanical system is considered. We start with a feedback controller that is designed without attention to disturbances, which are assumed to be adequately described by a dynamic LuGre friction model. We are interested in deriving a superimposed observer-based compensator to annihilate or reduce the influence of such a disturbance. We exploit a recently suggested approach for observer design for LuGre-friction-model-based compensation. In order to apply this technique, it is necessary to know the Lyapunov function for the unperturbed system, as well as the parameters of the dynamic friction model, and to verify that a certain structural property satisfied. The case when the system is passive with respect to the matching disturbance related to the given Lyapunov function is illustrated in this brief with a DC-motor example. The main contribution is some new insights into the numerical real-time implementation of a compensator for disturbances describable by one of various LuGre-type models. The other contribution, which is built upon the main one, is experimental verification of the suggested model-based observer design procedure.
204 citations
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TL;DR: In this paper, a class of algorithms for the problem of system identification in ~ are investigated, and conditions in terms of properties of the window functions are derived, which guarantee robust convergence of the algorithms.
204 citations