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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Sparse Green’s Functions Estimation Using Orthogonal Matching Pursuit: Application to Aeroacoustic Beamforming
TL;DR: A new methodology for the numerical estimation of the Green’s functions in complex external aeroacoustic configurations is presented.
Journal ArticleDOI
Sequential semidefinite optimization for physically and statistically consistent robot identification
TL;DR: Experimental results with a six-degree-of-freedom industrial robot supported by Monte Carlo simulations show the effectiveness of the new method and robustness benefits in comparison to conventional least-squares and the vanilla DIDIM method.
Qualitative dynamics of wavepackets in turbulent jets
TL;DR: In this article, the temporal dynamics associated with axisymmetric coherent structures in a turbulent jet were analyzed using nonlinear statistical tools, and the authors found that linear models can reproduce much of the convective input-output transfer behavior.
Identification using Convexification and Recursion
TL;DR: System identification studies how to construct mathematical models for dynamical systems from the input and output data, which finds applications in many scenarios, such as predicting future output of a dynamical system.
Journal ArticleDOI
Key Parameters Calibration and Benefits Evaluation of a Closed Loop Performance Monitoring System
TL;DR: In this article, the authors present results from field validation of a closed loop performance monitoring system installed on several units of a refinery plant, which supervises more than 1200 base control loops and evaluates performance periodically after scheduled data acquisitions followed by off-line analysis.
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.