Intelligent Control Theory and Applications

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 17085

Special Issue Editor

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) is characterized by some unique features and becoming an important discipline. Its application is spreading to many other disciplines, including science and engineering. Recent developments in digital technology and computer science are making it possible for the AI-based systems to be realized for both offline and, in particular, real-time applications. These can provide tools for harnessing the emerging intelligence and putting it to use for the benefit of human welfare.

AI can play a very important role in the area of controls—a discipline that is a common element in many fields of both physical sciences and social sciences. Many control problems that are not amenable to solution by classical analytical techniques, for a variety of reasons, can be tackled using AI techniques.

The objective of the proposed Special Issue is to report cutting-edge research and promising results in the area of AI controls and provide insights into the potential of using AI for control. Submissions detailing the theory and application of AI controls in any discipline are invited. The submissions will be reviewed by experts in the relevant field and accepted papers will be published in the Special Issue “Intelligent Control Theory and Applications” of Inventions, an international scientific peer-reviewed open access journal published quarterly online by MDPI and indexed in Scopus.

Prof. Dr. Om P. Malik
Guest Editor

Manuscript Submission Information

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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. Inventions 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 1800 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

  • Intelligent control
  • Artificial intelligence
  • Applications in physical and social sciences

Published Papers (5 papers)

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Research

23 pages, 46862 KiB  
Article
A Non-Invasive Photonics-Based Device for Monitoring of Diabetic Foot Ulcers: Architectural/Sensorial Components & Technical Specifications
by Anastasios Doulamis, Nikolaos Doulamis, Aikaterini Angeli, Andreas Lazaris, Siri Luthman, Murali Jayapala, Günther Silbernagel, Adriane Napp, Ioannis Lazarou, Alexandros Karalis, Richelle Hoveling, Panagiotis Terzopoulos, Athanasios Yamas, Panagiotis Georgiadis, Richard Maulini and Antoine Muller
Inventions 2021, 6(2), 27; https://doi.org/10.3390/inventions6020027 - 12 Apr 2021
Cited by 12 | Viewed by 4202
Abstract
This paper proposes a new photonic-based non-invasive device for managing of Diabetic Foot Ulcers (DFUs) for people suffering from diabetes. DFUs are one of the main severe complications of diabetes, which may lead to major disabilities, such as foot amputation, or even to [...] Read more.
This paper proposes a new photonic-based non-invasive device for managing of Diabetic Foot Ulcers (DFUs) for people suffering from diabetes. DFUs are one of the main severe complications of diabetes, which may lead to major disabilities, such as foot amputation, or even to the death. The proposed device exploits hyperspectral (HSI) and thermal imaging to measure the status of an ulcer, in contrast to the current practice where invasive biopsies are often applied. In particular, these two photonic-based imaging techniques can estimate the biomarkers of oxyhaemoglobin (HbO2) and deoxyhaemoglobin (Hb), through which the Peripheral Oxygen Saturation (SpO2) and Tissue Oxygen Saturation (StO2) is computed. These factors are very important for the early prediction and prognosis of a DFU. The device is implemented at two editions: the in-home edition suitable for patients and the PRO (professional) edition for the medical staff. The latter is equipped with active photonic tools, such as tuneable diodes, to permit detailed diagnosis and treatment of an ulcer and its progress. The device is enriched with embedding signal processing tools for noise removal and enhancing pixel accuracy using super resolution schemes. In addition, a machine learning framework is adopted, through deep learning structures, to assist the doctors and the patients in understanding the effect of the biomarkers on DFU. The device is to be validated at large scales at three European hospitals (Charité–University Hospital in Berlin, Germany; Attikon in Athens, Greece, and Victor Babes in Timisoara, Romania) for its efficiency and performance. Full article
(This article belongs to the Special Issue Intelligent Control Theory and Applications)
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16 pages, 14744 KiB  
Article
Image Preprocessing for Artistic Robotic Painting
by Artur Karimov, Ekaterina Kopets, Georgii Kolev, Sergey Leonov, Lorenzo Scalera and Denis Butusov
Inventions 2021, 6(1), 19; https://doi.org/10.3390/inventions6010019 - 14 Mar 2021
Cited by 12 | Viewed by 2979
Abstract
Artistic robotic painting implies creating a picture on canvas according to a brushstroke map preliminarily computed from a source image. To make the painting look closer to the human artwork, the source image should be preprocessed to render the effects usually created by [...] Read more.
Artistic robotic painting implies creating a picture on canvas according to a brushstroke map preliminarily computed from a source image. To make the painting look closer to the human artwork, the source image should be preprocessed to render the effects usually created by artists. In this paper, we consider three preprocessing effects: aerial perspective, gamut compression and brushstroke coherence. We propose an algorithm for aerial perspective amplification based on principles of light scattering using a depth map, an algorithm for gamut compression using nonlinear hue transformation and an algorithm for image gradient filtering for obtaining a well-coherent brushstroke map with a reduced number of brushstrokes, required for practical robotic painting. The described algorithms allow interactive image correction and make the final rendering look closer to a manually painted artwork. To illustrate our proposals, we render several test images on a computer and paint a monochromatic image on canvas with a painting robot. Full article
(This article belongs to the Special Issue Intelligent Control Theory and Applications)
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12 pages, 2250 KiB  
Article
Adaptive Stochastic Filtration Based on the Estimation of the Covariance Matrix of Measurement Noises Using Irregular Accurate Observations
by Sergey Sokolov, Arthur Novikov and Marianna Polyakova
Inventions 2021, 6(1), 10; https://doi.org/10.3390/inventions6010010 - 21 Jan 2021
Cited by 4 | Viewed by 1795
Abstract
In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed. In this approach, the Covariance Matrix of Measurement Noises (CMMN) is [...] Read more.
In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed. In this approach, the Covariance Matrix of Measurement Noises (CMMN) is estimated by accurate measurements detected irregularly by the mobile object observation system (from radiofrequency identifiers, etalon reference, fixed points etc.). The problem of adaptive estimation of the observer’s noises covariance matrix in the Kalman filter is solved analytically for two cases: mutual noises correlation, and its absence. The numerical example for adaptive filtration of complexing navigation system parameters of a mobile object using irregular accurate measurements is given to illustrate the effectiveness of the proposed algorithm. Coordinate estimating errors have changed in comparison with the traditional scheme from 100 m to 2 m in latitude, and from 200 m to 1.5 m in longitude. Full article
(This article belongs to the Special Issue Intelligent Control Theory and Applications)
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10 pages, 202 KiB  
Article
Digitalization of Multi-Object Technological Projecting in Terms of Small Batch Production
by Pavel M. Kuznetsov and Leonid L. Khoroshko
Inventions 2020, 5(3), 38; https://doi.org/10.3390/inventions5030038 - 5 Aug 2020
Cited by 7 | Viewed by 2423
Abstract
Decreasing the share of time for the technological training of new product creation is an actual and perspective task. The actuality of the given task always increases with the development of machine-building production. Changes which happen inside the organization of industrial production are [...] Read more.
Decreasing the share of time for the technological training of new product creation is an actual and perspective task. The actuality of the given task always increases with the development of machine-building production. Changes which happen inside the organization of industrial production are connected to the development of consumer demand. Modern tendencies are such that there can be seen a constant lowering of batch products with an increase in the range of their production, and, consequently, a reduction in the production stage of the product life cycle. Under these conditions, it is necessary to react as quickly as possible to changes of external (for example, the arrival of new production orders, adjusting the number of already started production, etc.) and internal conditions (for example, stopping technological equipment for organizational reasons, correcting production routes for parts, etc.). Obviously, the effectiveness of the functioning of the production system will be determined primarily by the right decisions. Errors lead to large material costs and a serious loss of time, which can be fatal for an enterprise. The development goal described in the article is to build a digital model of a production system that allows—on a machine time scale and in the absence of material costs—the analysis of various control scenarios and finding correct solutions in in short time. The methodological basis for constructing such models is the use of simulation modeling with the combination of discrete event and agent modeling. The construction of a model on this principle allows its openness to accumulate information about successful decisions made and use them to solve similar problems in the future. The benefit of this approach is the ability to predict the production situation over time, rational distribution of technological resources, reducing equipment downtime, streamlining the routes of production tasks and determining the stages of acquiring the necessary materials and components. It increases the competitiveness of the enterprise and ensures its economic stability. Full article
(This article belongs to the Special Issue Intelligent Control Theory and Applications)
19 pages, 5101 KiB  
Article
Digital Twins-Assisted Design of Next-Generation Advanced Controllers for Power Systems and Electronics: Wind Turbine as a Case Study
by Meisam Jahanshahi Zeitouni, Ahmad Parvaresh, Saber Abrazeh, Saeid-Reza Mohseni, Meysam Gheisarnejad and Mohammad-Hassan Khooban
Inventions 2020, 5(2), 19; https://doi.org/10.3390/inventions5020019 - 8 May 2020
Cited by 28 | Viewed by 5048
Abstract
This paper proposes a novel adaptive controller based on digital twin (DT) by integrating software-in-loop (SIL) and hardware-in-loop (HIL). This work aims to reduce the difference between the SIL controller and its physical controller counterpart using the DT concept. To highlight the applicability [...] Read more.
This paper proposes a novel adaptive controller based on digital twin (DT) by integrating software-in-loop (SIL) and hardware-in-loop (HIL). This work aims to reduce the difference between the SIL controller and its physical controller counterpart using the DT concept. To highlight the applicability of the suggested methodology, the regulation control of a horizontal variable speed wind turbine (WT) is considered for the design and assessment purposes. In the presented digital twin framework, the active disturbance rejection controller (ADRC) is implemented for the pitch angle control of the WT plant in both SIL and HIL environments. The design of the ADRC controllers in the DT framework is accomplished by adopting deep deterministic policy gradient (DDPG) in two stages: ( i ) by employing a fitness evaluation of wind speed error, the internal coefficients of HIL controller are adjusted based on DDPG for the regulation of WT plant, and ( ii ) the difference between the rotor speed waveforms in HIL and SIL are reduced by DDPG to obtain a similar output behavior of the system in these environments. Some examinations based on DT are conducted to validate the effectiveness, high dynamic performance, robustness and adaptability of the suggested method in comparison to the prevalent state-of-the-art techniques. The suggested controller is seen to be significantly more efficient especially in the compensation of high aerodynamic variations, unknown uncertainties and also mechanical stresses on the plant drive train. Full article
(This article belongs to the Special Issue Intelligent Control Theory and Applications)
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