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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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.
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Posted Content
A Bird's Eye View of Nonlinear System Identification.
TL;DR: In this text, grey-box methods use auxiliary information such as the system steady-state data, possible symmetries, some bifurcations and the presence of hysteresis in nonlinear system identification.
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Identification of microturbine model for long-term dynamic analysis of distribution networks
TL;DR: A general modeling approach for MTs is proposed, which allows for the long-term simulation of the distribution network with multiple MTs, and a three-stage identification method is developed in order to obtain a piecewise MT model and predict electro-mechanical system behaviors with saturation.
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Change Detection in a Distillation Column Based on the Generalized Likelihood Ratio Approach
TL;DR: From the experimental results, it is observed that the proposed FD method based on the combination of Generalized Likelihood Ration Test (GLRT) and Artificial Neural Networks (ANNs) is able to detect the process status effectively.
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Regularised estimation for ARMAX process with measurements subject to outliers
TL;DR: A novel Moving Horizon Estimator is developed that is not only robust to outliers but also able to reveal outliers and a coordinate descent-based solver is developed to obtain iterative algorithms with guaranteed convergence and closed-form solution available to each coordinate sub-problem per iteration.
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Nonlinear Dynamic Modelling of Platelet Aggregation via Microfluidic Devices
Miguel E. Combariza,Xinghuo Yu,Warwick Scott Nesbitt,Arnan Mitchell,Francisco J. Tovar-Lopez +4 more
TL;DR: This paper proposes a simple mathematical model of the main dynamics of platelet aggregation/disaggregation observed experimentally in a novel microfluidic device that approximates a severe arterial stenosis, and suggests that the reduced set of model parameters has the potential to be used as a simplified way to evaluate the biomechanical dynamics of Platelet aggregation.