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Grazing and border-collision in piecewise-smooth systems: a unified analytical framework
M di Bernardo1, C J Budd, A R Champneys
1Department of Engineering Mathematics, University of Bristol, UK. M.diBernardo@bristol.ac.uk
This study derives normal form maps for grazing bifurcations in piecewise smooth physical models, linking grazings to border-collisions in nonsmooth maps. It clarifies that only piecewise linear maps create discontinuity boundaries, while others exhibit unique singularities.
Area of Science:
- Dynamical Systems and Control Theory
- Nonlinear Dynamics
- Mathematical Physics
Background:
- Piecewise smooth systems are crucial for modeling real-world processes with abrupt changes.
- Grazing bifurcations, where trajectories repeatedly approach a discontinuity boundary, are common in such systems.
- Understanding these bifurcations is key to predicting system behavior and stability.
Purpose of the Study:
- To provide a comprehensive derivation of normal form maps for grazing bifurcations.
- To establish a clear link between grazing phenomena and border-collision bifurcations in nonsmooth maps.
- To characterize the types of singularities that arise in these maps.
Main Methods:
- Derivation of normal form maps for grazing bifurcations.
- Analysis of piecewise smooth models in dynamical systems.
- Classification of singularities in nonsmooth maps, including square-root and (3/2)-type.
Main Results:
- A unified framework linking grazing bifurcations and border-collision bifurcations is presented.
- It is demonstrated that piecewise linear maps only produce nonsmooth discontinuity boundaries.
- All other piecewise smooth maps associated with grazing bifurcations exhibit either square-root or (3/2)-type singularities.
Conclusions:
- The derived normal form maps offer a powerful tool for analyzing complex behaviors in piecewise smooth systems.
- This work clarifies the nature of singularities in grazing bifurcations, correcting previous assumptions in the literature.
- The findings have implications for the design and control of physical systems exhibiting such dynamics.
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