Objective
This project approaches the linear parameter-varying (LPV) framework starting from a nonlinear system point of view. This allows one to include strongly nonlinear systems in the considered LPV system class, and to develop LPV-based control strategies for nonlinear systems. At the end of this project a unified framework will be in place to go from nonlinear system identification to a LPV model suited for robust LPV control design.
Complex nonlinear behavior is encountered in many physical systems in engineering, e.g. in high-tech applications, chemical processes or in energy applications. For a long time, these systems were operated around steady-state conditions or specific regimes using digital controllers, designed via Linear Time-Invariant (LTI) control synthesis. Growing challenges in terms of system complexity, performance requirements, operational constraints and energy efficiency have begun to push the limitations of the LTI framework.
The nonlinear modelling and control tools developed in the past lack the intuitive and simple interpretation that are the trademark of LTI framework. The LPV framework on the other hand has been developed as an extension of the LTI framework, preserving most of its intuitive features, with the possibility to use a systematic control design flow. A significant gap continues to exist between nonlinear systems and the LPV framework.
How to bridge this gap, while exploiting the already available tools of nonlinear system identification for the estimation of LPV models for robust LPV control design is the topic of this research proposal. Three core research objectives are addressed in this project:
1. Nonlinear identification for robust LPV control using a frequency-domain weighted cost function
2. Convert nonlinear models in LPV representations in a systematic way
3. Develop a frequency-domain LPV model uncertainty analysis framework
These three objectives combined result in LPV models suited for robust LPV control design.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- engineering and technology environmental engineering ecosystem-based management climatic change mitigation
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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 - Marie Skłodowska-Curie Individual Fellowships (IF)
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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
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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.
5612 AE Eindhoven
Netherlands
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.