Explore the words cloud of the NL2LPV project. It provides you a very rough idea of what is the project "NL2LPV" about.
The following table provides information about the project.
TECHNISCHE UNIVERSITEIT EINDHOVEN
|Coordinator Country||Netherlands [NL]|
|Total cost||177˙598 €|
|EC max contribution||177˙598 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2018-03-01 to 2020-02-29|
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|1||TECHNISCHE UNIVERSITEIT EINDHOVEN||NL (EINDHOVEN)||coordinator||177˙598.00|
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.
|year||authors and title||journal||last update|
Maarten Schoukens, Roland TÃ³th
Frequency Response Functions of Linear Parameter-Varying Systems
published pages: 32-37, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.344
Maarten Schoukens, Roland TÃ³th
Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems
published pages: 94-99, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.11.162
Rik Pintelon, Maarten Schoukens, John Lataire
Best Linear Approximation of Nonlinear Continuous-Time Systems Subject to Process Noise and Operating in Feedback
published pages: 1-1, ISSN: 0018-9456, DOI: 10.1109/tim.2020.2987476
|IEEE Transactions on Instrumentation and Measurement||2020-04-24|
M. Schoukens, J.P. NoÃ«l, P.M.J. Van den Hof
Combining Experiments for Linear Dynamic Network Identification in the Presence of Nonlinearities
published pages: 212026, ISSN: 1742-6588, DOI: 10.1088/1742-6596/1065/21/212026
|Journal of Physics: Conference Series 1065||2020-04-24|
Schoukens, Maarten; Pintelon, Rik; Dobrowiecki, Tadeusz P.; Schoukens, Johan
Extending the Best Linear Approximation Framework to the Process Noise Case
published pages: 1514-1524, ISSN: 0018-9286, DOI: 10.1109/tac.2019.2923038
|IEEE Transactions on Automatic Control 65||2020-04-24|
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