Control of Friction-Induced Vibration

Dear Colleagues,

The negative impacts of friction-induced vibrations (FIV) on friction system performances, which can range from acoustic nuisances to systems failure and wear, have made the development of techniques to control FIV essential. The automotive, aeronautical, and railway industries are just a few examples among many other fields of applications where the control of FIV is a major objective. However, this objective remains unmet because of the FIV complexity mainly resulting from strongly nonlinear phenomena (with multi-physics and multi-scales aspects) at the friction contact interfaces with, at best, partial knowledge of their interactions. Hence, intense scientific research activity continues to be carried out to define and implement techniques that at least effectively mitigate the harmful effects of FIVs while taking into account the main patterns defining its complexity (such as high dimension, strong nonlinearities and multiple sources of uncertainties, etc.). This Special Issue is dedicated to this topic and addresses the most recent advances recorded therein. It particularly focuses on the active and passive control of FIV with particular interest in some of the related problems such as model order reduction for reduced order controller synthesis, synthesis of state-observer-based controllers and robust controllers, minimum energy control of FIV and the associated saturation constraints, passive control techniques (such as nonlinear energy sink (NES), tuned mass dampers, etc.) and the related optimization issues. The proposed contributions, approaches, and results related to all these questions are welcome for this Special Issue. The main objective is to provide a broad overview of recent developments and results in this field as well as an idea of the potential for their extension and generalization to current and future industry applications of FIV.

Dr. Lyes Nechak
Guest Editor

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• friction-induced vibrations
• nonlinear dynamics
• nonlinear control
• robust control
• state observer
• model order reduction
• passive control
• damped transients
• optimal control