PROJECT TITLE:

A Survey of Linear Parameter-Varying Control Applications Validated by Experiments or High-Fidelity Simulations

ABSTRACT:

This paper provides a survey of ends up in linear parameter-varying (LPV) management that have been validated by experiments and/or high-fidelity simulations. The LPV controller synthesis techniques employed in the references of this survey are briefly reviewed and compared. The ways are classified into polytopic, linear fractional transformation, and gridding-based techniques and it is reviewed how in each of those approaches, synthesis will be administered as a convex optimization drawback via a finite number of linear matrix inequalities (LMIs) for both parameter-independent and parameter-dependent Lyapunov functions. The literature is categorized with regard to the applying, the complexity induced by the controlled system’s dynamic and scheduling orders, additionally as the synthesis methodology. Exemplary cases dealing with specific control style issues are presented in a lot of detail to purpose control engineers to attainable approaches that have been successfully applied. Furthermore, key publications in LPV control are related to application achievements on a timeline.


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