Open AccessBook
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen,Vincent Verdult +1 more
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TLDR
In this paper, the authors present an approach for the estimation of spectra and frequency response functions based on output-error parametric model estimation and subspace model identification with random variables and signals.Abstract:
Preface 1. Introduction 2. Linear algebra 3. Discrete-time signals and systems 4. Random variables and signals 5. Kalman filtering 6. Estimation of spectra and frequency response functions 7. Output-error parametric model estimation 8. Prediction-error parametric model estimation 9. Subspace model identification 10. The system identification cycle Notation and symbols List of abbreviations References Index.read more
Citations
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Journal ArticleDOI
Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data
Eftychios A. Pnevmatikakis,Daniel Soudry,Yuanjun Gao,Timothy A. Machado,Josh Merel,David Pfau,Thomas Reardon,Thomas Reardon,Yu Mu,Clay Lacefield,Weijian Yang,Misha B. Ahrens,Randy M. Bruno,Thomas M. Jessell,Thomas M. Jessell,Darcy S. Peterka,Rafael Yuste,Liam Paninski +17 more
TL;DR: This work presents a modular approach for analyzing calcium imaging recordings of large neuronal ensembles that relies on a constrained nonnegative matrix factorization that expresses the spatiotemporal fluorescence activity as the product of a spatial matrix that encodes the spatial footprint of each neurons in the optical field and a temporal matrix that characterizes the calcium concentration of each neuron over time.
Journal ArticleDOI
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
TL;DR: This paper describes an algorithm, based on the unscented Kalman filter, for self-calibration of the transform between a camera and an inertial measurement unit (IMU), which demonstrates accurate estimation of both the calibration parameters and the local scene structure.
Journal ArticleDOI
Review of state of the art in smart rotor control research for wind turbines
TL;DR: A review of the state of the art and present status of active aeroelastic rotor control research for wind turbines is presented in this paper, where the authors discuss the potential of load reduction using smart rotor control concepts.
Journal ArticleDOI
Model predictive control of a building heating system: The first experience
TL;DR: In this article, a model predictive controller (MPC) is applied to the temperature control of real building, which uses both weather forecast and thermal model of a building to inside temperature control.
Book
Identification of Dynamic Systems: An Introduction with Applications
Rolf Isermann,Marco Münchhof +1 more
TL;DR: This book treats the determination of dynamic models based on measurements taken at the process, known as system identification or process identification, and covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation and subspace methods.