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.
References
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Dissertation
Regularized Estimation of High-dimensional Covariance Matrices.
TL;DR: This dissertation attempts to develop necessary components for covariance estimation in the high-dimensional setting by introducing a state-of-the-art sampling system, the Modulated Wideband Converter (MWC), which is capable of achieving sub-Nyquist sampling for multiband signals with arbitrary carrier frequency over a wide bandwidth.
Dissertation
Nonlinear proportional integral controller with adaptive interaction algorithm for nonlinear activated sludge process
TL;DR: In this paper, a nonlinear proportional integral (PI) controller with adaptive rate variation was developed to accommodate the nonlinearity of the WWTP, and hence, improving the adaptability and robustness of the classical linear PI controller.
Journal ArticleDOI
A nonlinear filtered‐x prediction error method algorithm for digital predistortion in digital subscriber line systems
TL;DR: The prediction error method (PEM) is used to derive a novel nonlinear filtered-x PEM (NFxP EM) algorithm to design more efficient digital predistorter—as compared with the NFxLMS algorithm—for digital subscriber line systems.
Proceedings ArticleDOI
Prediction based bandwidth allocation for cognitive LTE network
TL;DR: A novel dynamic bandwidth allocation technique in which different base stations share the total available spectrum to maximize the quality of service (QoS) in the network is presented, and the implementation of this technique in a cognitive 3rd Generation Partnership Project Long Term Evolution (3GPP LTE) network is shown.
Proceedings ArticleDOI
Adaptive management of energy consumption using adaptive runtime models
TL;DR: This study investigates techniques to schedule resources adaptively with the sole aim of reducing power consumption based on a characterization of energy usage and resource utilization patterns obtained by monitoring energy consumption in an enterprise data center.