Advances and Trends in Mathematical Modelling, Design, Control and Identification of Modern Vibrating Energy Conversion Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 4826
Special Issue Editors
Interests: vibration control; system identification; rotating machinery; mechatronics; automatic control of energy conversion systems
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics; DC-DC converters; optimization of power electronics systems; modelling and control of power converters
Special Issues, Collections and Topics in MDPI journals
Interests: analysis and control of electric power systems; applications of power electronics in electrical networks; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: behavioral system theory and dissipativity (higher-order modeling and control); nonlinear control design; modeling and control of power converters; power converter topology design; smart grid technologies; micro-synchrophasors (micro PMU); energy storage (battery modeling, balancing, state estimation and grid support applications)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Vibrations or oscillations can be found in many modern energy conversion systems. Vibrations are mainly considered in mechanical structures, while oscillations can also be found in electrical, electronic, and electromechanical systems. The aim of this Special Issue is to introduce recent research contributions and trends in the fields of analysis, modelling, design, control, identification, and experimental instrumentation of energy conversion systems, where oscillations can be exhibited. The significant relevance of applied mathematics should be highlighted. In this context, novel experimental, theoretical and industrial studies related (but not limited) to wind energy, solar, chemical, electromechanical, electromagnetic energy conversion systems, including their components, and other applications of passive, semi-active, active and hybrid vibration control are welcome. Original research and review articles are welcome. Potential topics include, but are not limited to, mathematical modelling, vibration analysis and control, system identification, disturbance estimation, protection and control of modern power systems, power converters, power electronics, electric vehicles, battery energy storage systems, vibration isolation systems and other experimental and theoretical developments in which the presence of oscillations constitutes a relevant issue.
Prof. Dr. Francisco Beltran-Carbajal
Prof. Dr. Julio Cesar Rosas Caro
Dr. Juan M Ramirez
Dr. Jonathan C. Mayo-Maldonado
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.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- mathematical modelling
- analysis and control of oscillations
- artificial intelligence in modern energy conversion systems
- power electronics technologies
- electric machinery
- renewable energy conversion systems
- system identification
- harmonic distortion
- experimental instrumentation
- electric vehicles
- electromagnetic systems
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Optimal selection of intrinsic mode functions applied in epilepsy-seizure detection
Authors: Luis Daladier Guerrero-Otoya; Maximiliano Bueno; Eduardo Giraldo; Marta Molinas
Affiliation: 1 Department of Electronics Instrumentation and Control, Faculty of Engineering, University of Cauca,
Popayán, Colombia;
2 Department of Electrical Engineering, Faculty of Engineering, Technological University of Pereira, Pereira, Colombia;
3 Department of Engineering Cybernetics, Faculty of Engineering and Technology, NTNU, Trondheim, Norway
Abstract: Epilepsy is a severe chronic neurological disorder with considerable incidence due to recurrent epileptic seizures. These seizures can be noninvasive and diagnosed using electroencephalogram (EEG). The Empirical Mode Decomposition (EMD) has shown excellent results in the identification of epileptic crises. In this paper, a new approach is proposed to automatically select the most relevant intrinsic mode functions (IMFs), based on the use of the EMD, and a selection metrics analysis like the Minkowski distance, mean square error (MSE), cross-correlation, and entropy function. The aim is to choose the minimum number of IMFs to reconstruct the signals of the brain activity. The EEG signals were processed by EMD and the IMFs were chosen according the a set metrics selection. The IMFs with relevant information are selected for reconstruction of the EEG signal. To validate the results, the correlation coefficient, p-value, and Wasserstein metric were used, moreover, the EEGLAB software for mapping the brain activity of the EEG reconstructed and of the raw EEG original signal were used too.