Topic
System identification
About: System identification is a research topic. Over the lifetime, 21291 publications have been published within this topic receiving 439142 citations.
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TL;DR: In this article, the identification of parameters for inelastic material models is performed in the frame of the finite element method, where linearization procedures are described in a systematic manner for the case of complex material models within a geometric linear theory.
194 citations
TL;DR: Methods for obtaining a parsimonious sinusoidal series representation or model of biological time-series data are described and illustrated, capable of higher resolution than a conventional Fourier series analysis and used to identify nonlinear systems with unknown structure.
Abstract: We describe and illustrate methods for obtaining a parsimonious sinusoidal series representation or model of biological time-series data. The methods are also used to identify nonlinear systems with unknown structure. A key aspect is a rapid search for significant terms to include in the model for the system or the time-series. For example, the methods use fast and robust orthogonal searches for significant frequencies in the time-series, and differ from conventional Fourier series analysis in several important respects. In particular, the frequencies in our resulting sinusoidal series need not be commensurate, nor integral multiples of the fundamental frequency corresponding to the record length. Freed of these restrictions, the methods produce a more economical sinusoidal series representation (than a Fourier series), finding the most significant frequencies first, and automatically determine model order. The methods are also capable of higher resolution than a conventional Fourier series analysis. In addition, the methods can cope with unequally-spaced or missing data, and are applicable to time-series corrupted by noise. Fially, we compare one of our methods with a wellknown technique for resolving sinusoidal signals in noise using published data for the test time-series.
193 citations
TL;DR: The novelty of the note is the development of a recursive design procedure, which takes full advantage of the continuous structure of the systems in constructing the state feedback stabilizer and the continuous observer with rigorously selected gains.
Abstract: This note studies the problem of global finite-time stabilization by dynamic output feedback for a class of continuous but nonsmooth nonlinear systems. By extending the adding-a-power-integrator technique and a special continuous observer design, a dynamic output feedback controller is explicitly constructed to render the systems globally finite-time stable. The novelty of the note is the development of a recursive design procedure, which takes full advantage of the continuous structure of the systems in constructing the state feedback stabilizer and the continuous observer with rigorously selected gains.
193 citations
TL;DR: In this paper, an active fault-tolerant controller (AFTC) and a passive fault tolerant controller (PFTC) are designed for a 4.8 MW, variable speed, variable pitch wind turbine model with a fault in the pitch system.
193 citations
TL;DR: The principal conclusion is that the approach of estimating position errors with some analytical functions is practical and generic, and most importantly it is effective enough to improve robot accuracy.
192 citations