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
Nonlinear-Adaptive Mathematical System Identification
TL;DR: This article describes using the controller to serve as a novel computational approach for mathematical system identification by reversing paradigms that normally utilize mathematical models as the basis for nonlinear adaptive controllers.
Journal ArticleDOI
Frequency Identification of Hammerstein-Wiener Systems with Backlash Input Nonlinearity
TL;DR: The problem of system identification is addressed for Hammerstein-Wiener systems that involve memory operator of backlash type bordered by straight lines as input nonlinearity by using easily generated excitation signals.
Journal ArticleDOI
Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes
TL;DR: The results show that the interval model approach allows a much more regular estimation of the parameters and avoids physiologically incompatible parameter estimates.
Journal ArticleDOI
New results on discrete-time delay systems identification
TL;DR: A new approach for simultaneous online identification of unknown time delay and dynamic parameters of discrete-time delay systems is proposed and the gradient algorithm is used to deal with the identification problem.
Proceedings ArticleDOI
Regularized system identification using orthonormal basis functions
Tianshi Chen,Lennart Ljung +1 more
TL;DR: In this paper, a reproducing kernel Hilbert space of impulse responses by orthonormal basis functions is constructed and the induced reproducing kernels are used for the regularized impulse response estimation.
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.