Experimental continuation in nonlinear dynamics: recent advances and future challenges
Ghislain Raze, Ga\"etan Abeloos, Ga\"etan Kerschen

TL;DR
This paper reviews recent experimental continuation methods for nonlinear systems, introduces a new derivative-free arclength continuation technique, and demonstrates its application on electronic and mechanical nonlinear systems, highlighting future challenges.
Contribution
It presents a unified review of experimental continuation methods and introduces a novel derivative-free arclength continuation approach for nonlinear dynamics.
Findings
The new method successfully applied to electronic Duffing oscillator.
Demonstrated on a nonlinear thin plate with geometrical nonlinearity.
Compared with existing methods, showing advantages in certain scenarios.
Abstract
Experimental continuation encompasses a set of methods that combine control and continuation to obtain the full bifurcation diagram of a nonlinear system experimentally, including responses that would be unstable in the system without feedback control. Such control-based methods thus allow the experimenter to directly and exhaustively explore the dynamics of the system without the need for a good mathematical model. The objective of this paper is twofold, namely (i) to review and present the state-of-the-art methods in a unified manner and (ii) to introduce a novel experimental derivative-free arclength continuation procedure, termed arclength control-based continuation. These methods are also demonstrated and compared on an electronic Duffing oscillator and a clamped thin plate featuring geometrical nonlinearity. Finally, the current state of the art is reflected upon, and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMechanical and Optical Resonators · Iterative Learning Control Systems · Advanced Thermodynamics and Statistical Mechanics
