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
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
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.
Journal ArticleDOI
A new kernel-based approach for linear system identification
TL;DR: A new kernel-based approach for linear system identification of stable systems that model the impulse response as the realization of a Gaussian process whose statistics include information not only on smoothness but also on BIBO-stability.
Journal ArticleDOI
Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping
TL;DR: The results demonstrate that the six-degree-of-freedom trajectory of a passive spring-mounted range sensor can be accurately estimated from laser range data and industrial-grade inertial measurements in real time and that a quality 3-D point cloud map can be generated concurrently using the same data.
References
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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.