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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Journal ArticleDOI
Stabilization of a Bias-Compensated Normalized Least-Mean-Square Algorithm for Noisy Inputs
Sang Mok Jung,PooGyeon Park +1 more
TL;DR: Simulations in system identification and acoustic echo cancellation scenarios with noisy inputs show that the proposed algorithm outperforms the existing bias-compensated algorithms in the aspect of the stability, the steady-state error, and the convergence rate.
Journal ArticleDOI
Signal Recovery From Unlabeled Samples
TL;DR: This paper identifies a natural duality between this problem and classical compressed sensing, and develops a restricted isometry property (RIP) similar to that in CS that achieves a stable signal recovery under the established RIP.
Journal ArticleDOI
Dynamic power management for multidomain system-on-chip platforms: An optimal control approach
TL;DR: This work proposes a new paradigm shift from power optimization based on linear models to control approaches based on fractal-state equations, and is the first to propose a controller for fractal workloads with precise constraints on state and control variables and specific time bounds.
Proceedings ArticleDOI
Multi-level pseudo-random signal design and "model-on-demand" estimation applied to nonlinear identification of a RTP wafer reactor
TL;DR: The improved fit of multi-level signals over the PRBS signal, as well as the usefulness of the MoD estimator, is demonstrated on validation data.
Journal ArticleDOI
FPGA-Based Implementation of Dual Kalman Filter for PV MPPT Applications
TL;DR: The way of implementing an adaptive maximum power point tracking algorithm for photovoltaic applications in a field programmable gate array (FPGA) is described in this paper and it is validated through experimental tests.