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
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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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Journal ArticleDOI
Maximum Entropy Kernels for System Identification
TL;DR: In this paper, the authors show that the maximum entropy properties of the Diagonal/Correlated (DC) kernel can be extended to the whole family of DC kernels and that the DC kernel admits a closed-form factorization, inverse, and determinant.
RESEARCH ARTICLE Adhesion estimation at the wheel-rail interface using advanced model based filtering
C. P. Ward,R. Dixon +1 more
TL;DR: In this article, the authors used a Kalman-Bucy filter to estimate the creep forces in the wheel-rail contact area; post-processing is then applied to provide information indicative of the actual adhesion level.
Journal ArticleDOI
Adaptive modeling of maritime autonomous surface ships with uncertainty using a weighted LS-SVR robust to outliers
TL;DR: In identifying the widely-used response model for ships, the optimal DW-LSSVR method is verified and validated on both experimental measurements and simulated data, and the effectiveness of the proposed method in identifying the response model has been demonstrated.
Journal ArticleDOI
Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies
Jalal Etesami,Negar Kiyavash +1 more
TL;DR: It is shown that functional dependency graphs are a generalization of these previously introduced graphical models and learn the functional dependencies in a larger class of models.
Journal ArticleDOI
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks
TL;DR: A novel cognitive fault diagnosis framework for processes described by nonlinear dynamic systems that inspects changes in the existing relationships among sensors based on an evolving clustering algorithm that operates in the parameter space of time invariant linear models approximating such relationships.