Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
About:
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
Continuous-time input-output linear dynamic system identification using sampled data
TL;DR: An approach to parametric continuous-time input-output linear dynamic system identification based on a randomized search method is presented and properties of the presented approach are illustrated by simulation experiments.
Proceedings ArticleDOI
RLS model identification-based robust control for gimbal axis of control moment gyroscope
Sang-Deok Lee,Seul Jung +1 more
TL;DR: A robust current controller is designed with an angle restriction property by the current compensation designed through the model identification by real-time recursive least square(RLS) algorithm.
Dissertation
Modélisation Incrémentale des Processeurs Embarqués pour l'Estimation des Caractéristiques et le Diagnostic
TL;DR: Le developpement d’outils de surveillance and de diagnostic des systemes electroniques embarques, en particuliers les SoC, est devenu l’un des verrous scientifiques a lever pour assurer une large utilisation of ces systemes dans les equipements a risque en toute securite.
Proceedings ArticleDOI
Parameter and time-delay identification for MISO-FIR systems based on the orthogonal matching pursuit algorithm
Taiyang Tao,Yanjun Liu +1 more
TL;DR: In this paper, a threshold orthogonal matching pursuit (OMP) algorithm was proposed to simultaneously identify the parameters, orders and time-delays of the MISO-FIR systems.
Journal ArticleDOI
Parameter Identification Based on Nonlinear Observer for Mechanical Systems
TL;DR: The concept of Sliding Mode Observer for finite time state estimation and the Least-Square Method for parameter identification have been combined; thus, guaranteeing that the estimated state converges to the real one in a finite time.
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.