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System identification
Torsten Söderström,Petre Stoica +1 more
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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.read more
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Neural networks applied for the identification and fault diagnosis of process valves and actuators
TL;DR: In this paper, an instrumentation and technology of fault detection and isolation (FDI) in process valves and actuators is discussed. And a classification of faults in process valve and actuator is followed by a brief review of EDI techniques.
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Second Order Sliding-Mode Observer for Estimation of Vehicle Dynamic Parameters
TL;DR: In this article, second-order sliding mode observers are used to build up an estimation scheme allowing to identify the tyre longitudinal equivalent stiffness and the effective wheel radius using the existing ABS angular sensors.
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Problems of measurement in soft systems
TL;DR: The paper reviews the problem of widely defined measurement in soft systems and considers examples from measurements in psychology, economics and psychology to offer a framework for considering measurement insoft systems.
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Improved sequential MUSIC
TL;DR: Improved sequential MUSIC is introduced, which is shown to be strictly more accurate than MUSIC (in large samples) and the optimal user parameter value, which minimizes the asymptotic variance of the estimation errors, is derived.
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Structural identification with physics-informed neural ordinary differential equations
TL;DR: In this work, Neural ODEs are re-casted as a two-level representation involving a physics-informed term, that stems from possible prior knowledge of a dynamical system, and a discrepancy term, captured by means of a feed-forward neural network, which is highly adaptive and flexible to structural monitoring problems.