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Processes
Special Issues
System Identification: Latest Advances and Prospects
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System Identification: Latest Advances and Prospects

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 10177

Special Issue Editors

Dr. Piotr Lichota

E-Mail Website
Guest Editor
Division of Mechanics, Institute of Aeronautics and Applied Mechanics, Faculty of Power and Aeronautical Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland
Interests: flight dynamics; aircraft system identification; optimization methods; modeling and simulation in MATLAB environment
Special Issues, Collections and Topics in MDPI journals
Dr. Trojnacki Maciej

E-Mail Website
Guest Editor
EDUROCO sp. z o.o., Łąkowa 3/5, 90-562 Łódź, Poland
Interests: mathematical modelling; computer simulation; system identification and control; mechanics; mechatronics; robotics; mobile robots; autonomous vehicles

Special Issue Information

Dear Colleagues,

System identification is currently one of the most advanced and continuously developing engineering techniques that allow for mathematical modeling. Its application area is extremely wide — from physical processes investigations, through vehicle dynamics studies, and even analyses of celestial bodies. Even though it has been in use since 1795 (C.F. Gauss), due to the infinite possibilities of this approach numerous aspects are still widely investigated. This special issue is focused on the recent developments in system identification, and its application on a variety of objects and physical processes.

Dr. Piotr Lichota
Dr. Trojnacki Maciej
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • system identification
  • input design
  • mathematical modeling
  • parameter estimation
  • identification for control
  • validation methods

Published Papers (3 papers)

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Research

24 pages, 2469 KiB  
Article
Frequency Response Estimation for Multiple Aircraft Control Loops Using Orthogonal Phase-Optimized Multisine Inputs
by Jared A. Grauer
Processes 2022, 10(4), 619; https://doi.org/10.3390/pr10040619 - 22 Mar 2022
Cited by 2 | Viewed by 2649
Abstract
The latest advances made at NASA for simultaneous excitation in multiple axes and the identification of frequency responses for aircraft flight systems are discussed in this paper. These techniques are extended in the prospect of identifying multiple dynamics and control loops for multiple [...] Read more.
The latest advances made at NASA for simultaneous excitation in multiple axes and the identification of frequency responses for aircraft flight systems are discussed in this paper. These techniques are extended in the prospect of identifying multiple dynamics and control loops for multiple axes. Recent applications with flight test data and simulation data are also presented, along with a discussion of the practical aspects of the approach. A demonstration is also provided, using a simulation model for the X-59 airplane in which frequency responses for the bare-airframe, closed-loop, and broken-loop (both for the actuator and the sensor) dynamics were identified from a single 60 s maneuver. The results indicate that this approach can significantly shorten the duration of flight tests and Monte Carlo simulations to save time and costs, and can produce results in real time. Full article
(This article belongs to the Special Issue System Identification: Latest Advances and Prospects)
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9 pages, 2788 KiB  
Article
Dynamic Modeling of a Nonlinear Two-Wheeled Robot Using Data-Driven Approach
by Muhammad Aseer Khan, Dur-e-Zehra Baig, Bilal Ashraf, Husan Ali, Junaid Rashid and Jungeun Kim
Processes 2022, 10(3), 524; https://doi.org/10.3390/pr10030524 - 7 Mar 2022
Cited by 10 | Viewed by 3100
Abstract
A system identification of a two-wheeled robot (TWR) using a data-driven approach from its fundamental nonlinear kinematics is investigated. The fundamental model of the TWR is implemented in a Simulink environment and tested at various input/output operating conditions. The testing outcome of TWR’s [...] Read more.
A system identification of a two-wheeled robot (TWR) using a data-driven approach from its fundamental nonlinear kinematics is investigated. The fundamental model of the TWR is implemented in a Simulink environment and tested at various input/output operating conditions. The testing outcome of TWR’s fundamental dynamics generated 12 datasets. These datasets are used for system identification using simple autoregressive exogenous (ARX) and non-linear auto-regressive exogenous (NLARX) models. Initially the ARX structure is heuristically selected and estimated through a single operating condition. We conclude that the single ARX model does not satisfy TWR dynamics for all datasets in term of fitness. However, NLARX fitted the 12 estimated datasets and 2 validation datasets using sigmoid nonlinearity. The obtained results are compared with TWR’s fundamental dynamics and predicted outputs of the NLARX showed more than 98% accuracy at various operating conditions. Full article
(This article belongs to the Special Issue System Identification: Latest Advances and Prospects)
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14 pages, 3328 KiB  
Article
A New Camera Calibration Technique for Serious Distortion
by Biao Huang and Shiping Zou
Processes 2022, 10(3), 488; https://doi.org/10.3390/pr10030488 - 28 Feb 2022
Cited by 4 | Viewed by 3077
Abstract
A new camera calibration technique based on serious distortion is proposed, which only requires the camera to observe the plane pattern in an arbitrary azimuth. It uses the geometrical imaging principle and radial distortion model to acquire radial lens distortion coefficient and the [...] Read more.
A new camera calibration technique based on serious distortion is proposed, which only requires the camera to observe the plane pattern in an arbitrary azimuth. It uses the geometrical imaging principle and radial distortion model to acquire radial lens distortion coefficient and the image coordinate (u0, v0), and then solves the linear equation aiming at the other parameters of the camera. This method has the following characteristics: Firstly, the position of the camera and the plane is arbitrary, and the technique needs only a single observation for plane pattern. Secondly, it is suitable for camera calibration with serious distortion. Thirdly, it does not need expensive ancillary equipment, accurate movement, or lots of photos observed from different orientations. Having been authenticated by computer emulation and actual experiment, the results of the proposed technique have proved to be satisfactory. The research has also paved a new way in camera calibration for further studies. Full article
(This article belongs to the Special Issue System Identification: Latest Advances and Prospects)
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