Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
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The article was published on 2012-12-11. It has received 1704 citations till now. The article focuses on the topics: Nonlinear system identification & System identification.read more
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Intuitive LTI energy-maximising control for multi-degree of freedom wave energy converters: The PeWEC case
TL;DR: In this article , a set of four simple and intuitive energy-maximising controllers for the PeWEC system based upon linear time-invariant (LTI) systems is proposed.
Book ChapterDOI
Factors Affecting the Sustained Use of Process Models
Toomas Saarsen,Marlon Dumas +1 more
TL;DR: An a priori model of sustained process model use derived from existing factor models of business process modelling success and knowledge reuse is outlined, packaged as an assessment instrument and applied to four organizations from different domains.
Proceedings ArticleDOI
A model based bolus calculator for blood glucose control in type 1 diabetes
Harald Kirchsteiger,Luigi del Re +1 more
TL;DR: A model based bolus calculator which, based on an identified model, information on the carbohydrate content of the meals and an initial single glucose measurement, computes the optimal insulin bolus dose in order to minimize the blood glucose deviations.
Book ChapterDOI
Identification for robust control of complex systems : algorithm and motion application
TL;DR: A new system identification algorithm is developed that delivers a system model in terms of recently developed coprime factorizations and thereby extends classical iterative procedures to the closed-loop case.
Proceedings ArticleDOI
On-line parameter estimation of PMDC motors using binary-valued speed measurements
TL;DR: In this paper, an estimator that can be used to estimate the model parameters of PMDC motors using binary-valued speed measurements is developed, and the input/output relationship between the input voltage and the output speed is modeled by a suitable regression structure for binary system identification.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI
Deep learning in neural networks
TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
Journal ArticleDOI
Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control
Milan Korda,Igor Mezic +1 more
TL;DR: This work extends the Koopman operator to controlled dynamical systems and applies the Extended Dynamic Mode Decomposition (EDMD) to compute a finite-dimensional approximation of the operator in such a way that this approximation has the form of a linearcontrolled dynamical system.
Journal ArticleDOI
A Tour of Reinforcement Learning: The View from Continuous Control
TL;DR: The authors surveys reinforcement learning from the perspective of optimization and control, with a focus on continuous control applications, and reviews the general formulation, terminology, and techniques for reinforcement learning for continuous control.
Journal ArticleDOI
SPICE: A Sparse Covariance-Based Estimation Method for Array Processing
Petre Stoica,Prabhu Babu,Jian Li +2 more
TL;DR: This paper presents a novel SParse Iterative Covariance-based Estimation approach, abbreviated as SPICE, to array processing, obtained by the minimization of a covariance matrix fitting criterion and is particularly useful in many- snapshot cases but can be used even in single-snapshot situations.