Special Issue "Fault-Tolerant Control via Information Theoretic Techniques"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: 21 May 2022 | Viewed by 296

Special Issue Editors

Dr. Joseph J. Yame
E-Mail Website
Guest Editor
CRAN, Université de Lorraine, 7039, F-54500 Vandoeuvre Les Nancy, France
Interests: mathematical system theory; sampled-data systems; fault detection
Dr. Tushar Jain
E-Mail Website
Assistant Guest Editor
Indian Institute of Technology Mandi, School of Computing and Electrical Engineering, Kamand – 175075, Himachal Pradesh, India
Interests: mathematical control theory; fault-tolerant control; optimal control

Special Issue Information

Dear Colleagues,

Most modern systems are actually safety-critical systems whose failure could result in loss of life, significant property damage or damage to the environment. Well-known examples of such systems are in application areas such as medical devices, aircraft flight control, nuclear systems, automotive systems, robotics, power plants, etc. In order to ensure the operational safety of critical dynamic systems, fault-tolerant control system (FTCS) technologies have undergone considerable and continuous development in the past several years. These developments have been driven by advances in model-based control and estimation theory, and are now increasingly fueled by machine learning and data-driven techniques. One of the fundamental concepts that has underpinned many developments in the whole area of control systems theory is that of information, which stems from Shannon's mathematical theory in communication. Indeed, several works have shown that an information-theoretic approach to control systems can be instructive and effective. A key observation has been the fact that a control system might be viewed intuitively as an information-gathering and decision-making system. The controller collects information from a dynamic system by measuring/estimating its state for the purpose of learning, and then use this information to perform a control action on that system. In particular, for stochastic systems, the information collected by a controller from a plant can be quantified using the related concept of mutual information. Furthermore, this mutual information has been shown to be at the source of some limits relating as a trade-off the informativeness of the data in a control system and its overall performance. With the emergence of new paradigms essentially based on data-driven approaches for real-time supervision of critical dynamical systems, one of the important properties of such systems will be the richness of the information collected in real-time for the online development of fault-tolerant control strategies under faulty system behaviors.

This Special Issue targets recent research, trends and practical developments in the field of fault-tolerant control (FTC), where the mathematical concept of information plays a key role in the synthesis of FTC algorithms. The aim of this Special Issue is to exchange researchers’ achievements in recent advances that treat various fault-tolerant control as well as fault detection and diagnosis (FDD) techniques using information-theoretic approaches and their combination with other approaches.

Specifically, this Special Issue seeks high quality theoretical and application papers as well as survey papers in FTCS/FDD using the following non-exhaustive information-theoretic based methods:

▪ Mutual information methods;

▪ Entropy-based measures methods;

▪ Minimum entropy control methods;

▪ Information-based dual control and probing methods;

▪ Dual adaptive fault-tolerant control methods;

▪ Maximum entropy method;

▪ Cross-entropy minimization methods;

▪ Minimum rational entropy methods;

▪ Neural network and deep learning entropy methods.

Dr. Joseph J. Yame
Dr. Tushar Jain
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. Entropy 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 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.


  • fault accommodation
  • control reconfiguration
  • adaptive fault tolerant control
  • MPC-based FTC
  • stochastic control systems
  • persistency of excitation
  • dual control
  • probing
  • mutual information
  • entropy measures

Published Papers

This special issue is now open for submission.
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