Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Partnerships and Cooperations
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Section: New Results

Interval prediction for LPV systems

Participant : Denis Efimov.

The problem of behaviour prediction for linear parameter-varying (LPV) systems was considered in the interval framework in [41]. It was assumed that the system is subject to uncertain inputs and the vector of scheduling parameters is unmeasurable, but all uncertainties take values in a given admissible set. Then an interval predictor was designed and its stability was guaranteed applying Lyapunov function with a novel structure. The conditions of stability were formulated in the form of linear matrix inequalities. Efficiency of the theoretical results was demonstrated in the application to safe motion planning for autonomous vehicles (see videos of numeric experiments).