Objective
The technique of guaranteed estimation promises a revolutionary step to how industrial process managers build, handle and adapt the prediction mathematical models. These are used to monitor the equipment operating regimes, to train the
operating personnel and are also exploited to steer the plants' behavior towards the most profitable or the most resource-
efficient modes. Advantages of guaranteed estimation come from the fact that no unnecessary assumptions must be made
regarding the quality and measurement-error distribution of the sensed data, which establishes an increased reliability of the
obtained estimation results. The work on this project develops the essential parts of guaranteed estimation techniques for
real-world exploitation. We focus on the estimation of parameters of the nonlinear dynamic models while combining the
estimation with model validation principles and while creating a hybrid estimation technique that enjoys the advantages of
both guaranteed estimation and conventional approaches. In order to drive the operation of the plant, here we focus on the
plants of chemical industry, to an efficient working regime, the technology of optimal and robust control is required. Our
project builds upon the developments of robust control and develops novel optimal robust control techniques that incorporate
the information on guaranteed estimates into the actions, i.e. manipulations of the plants' degrees of freedom. As a result, a
safe, reliable and resource-efficient operation is established. The theoretical developments of the project are implemented
into a software package and released as an open-source project such that the collaboration with academia and industrial
stakeholders is fostered. A demonstration on a pilot plant is also planned to showcase the benefits of developed techniques
in the real-world environment. A sound dissemination plan of the project ensures that the project reaches its target audience.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
81243 Bratislava
Slovakia
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.