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New Frontiers in Robust Control and Automatic Control

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4876

Special Issue Editors


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Guest Editor
Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universita degli Studi di Catania, Viale A. Doria 6, 95125 Catania, Italy
Interests: circuits and systems for automatic control; dynamics of networks; electronic analog devices for sensor and controller; control of nonlinear circuits; biorobotics; nonlinear networks; advanced applications of control and system theory in sciences
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universita degli Studi di Catania, Viale A. Doria 6, 95125 Catania, Italy
Interests: control of energy systems; control of microfluidics devices

Special Issue Information

Dear Colleagues,

The Special Issue aims to highlight the importance of classical techniques of automatic control concerning mainly robust control, optimal control, multivariable control, and undiscovered properties in SISO linear systems. Papers addressing delays are welcomed. Contributions regarding model order reduction are also of interest. The Special Issue shall also include contributions that link classical control theory with electrical network principles. In summary, the aim is to gather contributions that reinforce the main guidelines that have made system theory and automatic control a complete theory leading to intense activities in automatic control today. Advanced applications of classical approaches are also welcomed.

Prof. Dr. Luigi Fortuna
Dr. Salvina Gagliano
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • automatic control
  • system theory
  • circuits and systems
  • mathematical approaches to develop control techniques
  • model identification
  • model estimation
  • application of classical control in mechanical systems and in civil engineering applications

Published Papers (2 papers)

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20 pages, 1259 KiB  
Article
Complex-Order Models: A System Identification Point of View
by Mirna N. Kapetina, Milan R. Rapaić, Zoran D. Jeličić, Paolo Lino and Guido Maione
Appl. Sci. 2022, 12(9), 4768; https://doi.org/10.3390/app12094768 - 9 May 2022
Cited by 4 | Viewed by 1363
Abstract
The present paper proposes a framework for the systematic and fruitful application of complex-order operators for modeling and control applications. We emphasize that special care must be taken when using complex-order elements to ensure that their responses to real-valued stimuli are real-valued themselves. [...] Read more.
The present paper proposes a framework for the systematic and fruitful application of complex-order operators for modeling and control applications. We emphasize that special care must be taken when using complex-order elements to ensure that their responses to real-valued stimuli are real-valued themselves. The proposed complex-order real-valued elements enable the seamless generalization of their conventional real and integer-order counterparts. We further demonstrate how any linear operator can be extended in much the same way as the differintegral, by “raising” it to a power of a complex order, while ensuring that its kernel remains real-valued. The applicability of our considerations is demonstrated by a model of a compressed natural gas injection system. Full article
(This article belongs to the Special Issue New Frontiers in Robust Control and Automatic Control)
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21 pages, 5707 KiB  
Article
Load Frequency Control for Multi-Area Power Plants with Integrated Wind Resources
by Van Van Huynh, Bui Le Ngoc Minh, Emmanuel Nduka Amaefule, Anh-Tuan Tran, Phong Thanh Tran, Van-Duc Phan, Viet-Thanh Pham and Tam Minh Nguyen
Appl. Sci. 2021, 11(7), 3051; https://doi.org/10.3390/app11073051 - 29 Mar 2021
Cited by 4 | Viewed by 2191
Abstract
To provide a more practical method of controlling the frequency and tie-line power flow of a multi-area interconnected power system (MAIPS), a state observer based on sliding mode control (SOboSMC) acting under a second-order time derivative is proposed. The proposed design is used [...] Read more.
To provide a more practical method of controlling the frequency and tie-line power flow of a multi-area interconnected power system (MAIPS), a state observer based on sliding mode control (SOboSMC) acting under a second-order time derivative is proposed. The proposed design is used to study load frequency control against load disturbance, matched and mismatched uncertainty and parameter measurement difficulties of power systems that exist in the modern power plant, such as multi-area systems integrated with wind plants. Firstly, the state observer is designed to optimally estimate system state variables. The estimated states are applied to construct the model of the MAIPS. Secondly, a SOboSMC is designed with an integral switching surface acting on the second-order time derivative to forcefully drive the dynamic errors to zero and eliminate chattering, which can occur in the first-order approach to sliding mode control. In addition, the stability of the total power system is demonstrated with the Lyapunov stability theory based on a new linear matrix inequality (LMI) technique. To extend the validation of the proposed design control for practical purposes, it was tested in a New England system with 39 bus power against random load disturbances. The simulation results confirm the superiority of the proposed SOboSMC over other recent controllers with respect to overshoot and settling time. Full article
(This article belongs to the Special Issue New Frontiers in Robust Control and Automatic Control)
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