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System Identification I

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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.

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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

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.
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SPICE: A Sparse Covariance-Based Estimation Method for Array Processing

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.
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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.
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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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Book ChapterDOI

Scale Dependence of Force Patterns During the Scanning of a Surface by a Bare Finger

TL;DR: This study investigated how the geometry of a touched surface influences forces felt during the scanning of an object with the finger, and found that fluctuations played an increasingly important role as the spatial scale of the surface geometry decreased.

On some continuous-time modeling and estimation problems for control and communication

Yasir Irshad
TL;DR: The scope of the thesis is to estimate the parameters of continuous-time models used within control and communication from sampled data with high accuracy and in a computationally efficient way.
Journal ArticleDOI

Time-domain analysis of scrotal thermoregulatory impairment in varicocele.

TL;DR: The proposed approach could help to understand at which specific level the presence of the disease impacts the scrotal thermoregulation, which is also involved into normal spermatogenesis process.

Dynamic Models of Human Perception and Action and Their Application in Telepresence

Markus Rank
TL;DR: In this work, system theoretic models of human perception and sensorimotor control are developed that are suited for being included into a human-centered design, control, and evaluation of telepresence systems.
Journal ArticleDOI

Developing data fusion and recursive estimation methods for online identification of dive plane dynamics of an autonomous underwater vehicle

TL;DR: An online method to identify the hydrodynamic coefficients of pitch plane of an autonomous underwater vehicle and a new controller with better performance is synthesized online.