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
Identificación paramétrica en lazo cerrado de sistema de accionamiento neumático para cilindro de doble efecto
Oscar Iván Caldas Flautero,Sebastián Jiménez Gómez,Edilberto Mejía Ruda,Juan Hernández Mejía,Oscar Fernando Avilés Sánchez +4 more
TL;DR: In this paper, an identificación of sistemas is presented as a strategy for construccion of modelos dinamicos complejos, proponiendo soluciones for tratar el comportamiento no-lineal de un sistema neumatico, represented by un actuador de doble efecto and un par de valvulas proporcionales for el control de la presion de alimentacion y el caudal.
Journal ArticleDOI
On the Use of Singular Vectors for the Flexibility-Based Damage Detection under the Assumption of Unknown Structural Masses
TL;DR: The main purpose of this work is to investigate the usability of easily obtainable parameters instead of the modal traditional ones, in the context of a flexibility-based damage detection procedure, under the assumption of unknown structural masses.
Design of an Adaptive Controller with Online Identification Applied to a Pressure Tank
TL;DR: In this article, an adaptive controller for controlling autotuning pressure was developed for a pressure tank using online identification to obtain the mathematical model of the system, which reached a convergence time of 1 s, an identification with extended least squares, a settling time of 10 s and steady-state error of 3% for the controlled variable.
Visually induced and spontaneous behavior in the zebrafish larva
TL;DR: In the absence of salient sensory cues, zebrafish larva spontaneously produces stereotypical tail movements, similar to those produced during goal-driven navigation, suggesting that larva rely on real-time visual feedback during swimming.
Proceedings ArticleDOI
Lattice filter based autoregressive spectrum estimation with joint model order and estimation bandwidth adaptation
TL;DR: Estimation results can be considerably improved if identification of the autoregressive model is carried out using the two-sided doubly exponentially weighted lattice algorithm which combines results yielded by two one-sided lattice algorithms running forward in time and backward in time, respectively.