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System identification

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The article was published on 1988-01-01 and is currently open access. It has received 5375 citations till now. The article focuses on the topics: System identification.

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A stochastic global identification framework for aerospace structures operating under varying flight states

TL;DR: A novel data-based stochastic “global” identification framework is introduced for aerospace structures operating under varying flight states and uncertainty, constituting a first step towards the next generation of “fly-by-feel” aerospace vehicles with state awareness capabilities.
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Adaptive and Model-Based Control Theory Applied to Convectively Unstable Flows

TL;DR: It is found that an adaptive control technique is more suitable to delay the laminar-to-turbulent transition in situations where an accurate model of the flow is not available.
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Modelling and Prediction of NOx Emission in a Coal-Fired Power Generation Plant

TL;DR: In this paper, a grey-box model for real-time operation and control of a 200 MWe coal-fired power generation plant was developed and compared with a linear AutoRegressive model with eXogenous inputs (ARX) and a non-linear ARX model (NARX).
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Optimal deconvolution based on polynomial methods

TL;DR: The problem of estimating the input to a known linear system is treated in a shift operator polynomial formulation, and the mean-square estimation error is minimized.
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Measurement and instrumentation science—An analytical review

TL;DR: The paper provides an analytical review of the development of Measurement and Instrumentation Science and provides references to key literature.