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
An identification approach to lighting control
TL;DR: The problem of daylight estimation in a smart lighting system that consists of multiple luminaires with collocated occupancy and light sensors, and the proposed approach in an open-office lighting model is evaluated by considering different daylight conditions.
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Mathematical modelling of polyamine metabolism in bloodstream-form Trypanosoma brucei: an application to drug target identification.
TL;DR: It is observed that, at low-to-moderate levels of inhibition, enzymes catalysing reactions of de novo AdoMet and ornithine production have more efficient inhibitory effect on total trypanothione content in comparison to other enzymes in the pathway.
Proceedings ArticleDOI
A tensor-based volterra series black-box nonlinear system identification and simulation framework
TL;DR: This paper presents a non-linear model identification and simulation framework built on top of Volterra series and its seamless integration with tensor arithmetic, exploiting partially-symmetric polyadic decompositions of sparse Toeplitz tensors to allow computationally fast modeling and simulation beyond weakly non- linear systems.
Proceedings ArticleDOI
Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation
TL;DR: A batchwise delete-group jackknife procedure is utilised to estimate the standard error of the estimate of the dominant unstable empirical plasma response eigenvalue.
Proceedings ArticleDOI
Hybridized GA-optimization of neural dynamic model for nonlinear process
TL;DR: Genetic algorithm is used for optimizing the neural dynamic model of biomass-fired boiler emissions to achieve simpler network structures with errors comparable to the case when trial-and-error settings were previously used.