In this paper a unified framework for vectorial parameterisation of inertia, Coriolis and centrifugal, and hydrodynamic added mass forces for marine vehicles in 6 degrees of freedom (DOF) is presented. Emphasises is placed on representing the 6 DOF nonlinear marine vehicle equations of motion in vector form satisfying certain matrix properties like symmetry, skew-symmetry and…
Mathematical Modelling of Systems Template
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About the Mathematical Modelling of Systems format
Mathematical Modelling of Systems is a peer-reviewed journal published by Taylor & Francis, covering Diverse Scientific and Economic Studies, Human auditory perception and evaluation, Educational Robotics and Engineering.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Mathematical Modelling of Systems 12 (3): 45–58.
Formats any DOI in Mathematical Modelling of Systems style. No sign-up. |
| Publishes research in | Diverse Scientific and Economic Studies Human auditory perception and evaluation Educational Robotics and Engineering Control Systems and Identification Numerical methods for differential equations |
| ISSN | 1381-2424 |
| h-index | 11 |
| i10-index | 12 |
| Total citations | 615 |
| Top institutions publishing here | Zabol University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
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Most-cited papers in Mathematical Modelling of Systems
In this paper a framework for an iterative procedure of identification and robust control design is introduced wherein the robust performance is monitored during the subsequent steps of the iterative scheme. By monitoring the performance via a model-based approach, the possibility to guarantee performance improvement in the iterative scheme is being employed. In order to…
Abstract An alternative technique, called projection method, for solving constrained system problems is presented. This approach can be used to derive equations of motion of both holonomic and nonholonomic systems, and the dynamic equations can be expressed in generalized velocities and/or quasi-velocities. Compared against the other methods of classical mechanics (Lagrange's, Gibbs-Appell, Kane's,...), the present…
. The general applicability of the modal approach for model reduction is restricted by the lack of guaranteed bounds for approximation errors and the lack of a satisfactory modal dominance analysis procedure. Functional and computational enhancements of this approach are proposed. Functional enhancements arise by combining the modal techniques with other methods and by using…
Robust control models describe system uncertainty with both unknown additive signals and unknown dynamic perturbations. These unknown but bounded components lead to a model set description. Model validation is the experimental assessment of the ability of this model set to describe the observed system behaviors. In this paper we consider model validation for H∞ compatible…