Special Issue "Algorithms for Reliable Estimation, Identification and Control III"

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 317

Special Issue Editors

School II - Department of Computing Science, Group Distributed Control in Interconnected Systems, Carl von Ossietzky Universität Oldenburg, D-26111 Oldenburg, Germany
Interests: interval analysis; state estimation; stochastic filtering techniques; robust control; optimization
Special Issues, Collections and Topics in MDPI journals
Lab-STICC, ENSTA Bretagne, 29806 Brest, France
Interests: interval analysis; robotics
Special Issues, Collections and Topics in MDPI journals
ENSTA Paris, 91120 Palaiseau, France
Interests: interval analysis; state estimation; stochastic filtering techniques; robust control; optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The optimization of feedforward and feedback controllers with respect to predefined performance criteria is mainly studied. In particular, the enhancement and verification of their robustness concerning external disturbances and uncertain parameters are widespread aspects of current research activities. The same holds for the reliable estimation of non-measurable system states and the identification of parameters based on uncertain measurements. Possible applications of related optimization algorithms can be found not only in the frame of a control and estimator synthesis, but also in the field of reliable modeling and model-based analysis of measured data.

This Special Issue is a platform for the publication of novel algorithms in the frame of reliable and optimal estimation and control. Moreover, application-oriented aspects highlighting the practical applicability of theoretical approaches are highly welcome.

Possible topics of interest include the following:

  • Optimal and robust control of finite-dimensional systems;
  • Optimization and robustness analysis for partial differential equations;
  • Representation of epistemic and aleatory uncertainty by means of the following:
    • Interval analysis; and
    • Stochastic modeling procedures;
  • Structural optimization of controllers and state observers;
  • Parameter optimization and identification;
  • Stability analysis.

Prof. Dr. Andreas Rauh
Prof. Dr. Luc Jaulin
Dr. Julien Alexandre dit Sandretto
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. Algorithms 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 1600 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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