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
Citations
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Journal ArticleDOI
Two degree of freedom robust data-driven fixed-order controller synthesis using convex optimization.
TL;DR: A new data-driven approach based on convex optimization to design two degree of freedom robust fixed-order H∞ controller for reference tracking and experimentally verified the usefulness and efficiency of the proposed approach.
Book
Model Fitting in Frequency Domain Imposing Stability of the Model
László Balogh,István Kollár +1 more
TL;DR: VII Kivonat (Abstract in Hungarian) VIII Glossary of Symbols VIII glossary of symbols IX.
Proceedings ArticleDOI
Effect of Alternative Fuels on Marine Engine Performance
TL;DR: In this article, a multilinear regression model is proposed to predict the engine performance from the end-user perspective, which can predict the final engine performance for the specified fuel blend.
Journal ArticleDOI
Dynamic Characterization and Equalization of a Power Line Communication Channel
TL;DR: This work presents a dynamic equalization algorithm computed in the time domain, where the channel characterization is done by a recursive least squares algorithm using the transmitted data as reference.
Journal ArticleDOI
Impulse response function identification of linear mechanical systems based on Kautz basis expansion with multiple poles
TL;DR: Based on the backpropagation through-time technique and the expectation maximisation algorithm, a pole optimisation algorithm is presented in this paper that can improve the identification accuracy of the impulse response function for linear mechanical systems operated under more than one mode.
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.