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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Proceedings ArticleDOI
Feedback linearization using Gaussian processes
TL;DR: Gaussian processes, a Bayesian nonparametric approach, is utilized, to learn a model for feedback linearization, which shows that the resulting system is globally uniformly ultimately bounded.
Journal ArticleDOI
Data-Driven Reduced Model Construction with Time-Domain Loewner Models
TL;DR: This work presents a data-driven nonintrusive model reduction approach for large-scale time-dependent systems with linear state dependence.
Journal ArticleDOI
Identification of time‐varying OE models in presence of non‐Gaussian noise: Application to pneumatic servo drives
Vladimir Stojanovic,Novak Nedic +1 more
TL;DR: In this article, the robust recursive algorithm for output error models with time-varying parameters is proposed and the convergence property of the proposed robust algorithm is analyzed using the methodology of an associated ordinary differential equation system.
Book ChapterDOI
Fault Tolerant Flight Control, a Physical Model Approach
TL;DR: In this paper, a real-time aerodynamic model identification procedure has been combined with a model-based adaptive control method, and a manual as well as an autopilot version have been developed.
ReportDOI
Survey and New Directions for Physics-Based Attack Detection in Control Systems
David I. Urbina,Jairo Giraldo,Alvaro A. Cardenas,Junia Valente,Mustafa Amir Faisal,Nils Ole Tippenhauer,Justin Ruths,Richard Candell,Henrik Sandberg +8 more
TL;DR: Monitoring the "physics" of control systems to detect attacks is a growing area of research and in its basic form a security monitor creates time-series models of sensor readings for an industrial con ...
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.