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
A Tutorial on Auditory Attention Identification Methods.
TL;DR: A tutorial on the numerous techniques that have been developed in recent decades of auditory attention identification, and an overview of current trends in multivariate correlation-based and model-based learning frameworks are presented.
Journal ArticleDOI
A method to accurately estimate the muscular torques of human wearing exoskeletons by torque sensors.
Beomsoo Hwang,Doyoung Jeon +1 more
TL;DR: This paper attempts to estimate users’ muscular efforts accurately using joint torque sensor which contains the measurements of dynamic effect of human body such as the inertial, Coriolis, and gravitational torques as well as torque by active muscular effort.
Proceedings ArticleDOI
Some problems arising in controller design from big data via input-output methods
TL;DR: This work derives overestimates on the operator norm, the shortage of passivity, and the cone containing the input-output tuples, all solely from the authors' finite input- Output data, which allows for application of the small-gain theorem, the feedback theorem for passive systems, andThe feedback criterion for conic relations.
Journal ArticleDOI
Online Hyperparameter-Free Sparse Estimation Method
Dave Zachariah,Petre Stoica +1 more
TL;DR: An online estimator for sparse parameter vectors which, unlike the LASSO approach, does not require the tuning of any hyperparameters, and is equivalent to a weighted version of the square-root L ASSO.
Journal ArticleDOI
Embedded Model Control calls for disturbance modeling and rejection.
TL;DR: Embedded Model Control shows that the model-based control law can be kept intact in the case of uncertainty, if the controllable dynamics is complemented by a suitable disturbance dynamics.
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.