Nonlinear integral coupling for synchronization in networks of nonlinear systems

Journal Article (2022)
Authors

Alexey Pavlov (Norwegian University of Science and Technology (NTNU))

E. Steur (TU Delft - Team Bart De Schutter, Eindhoven University of Technology)

Nathan van de Van De Wouw (University of Minnesota, Eindhoven University of Technology)

Research Group
Team Bart De Schutter
Copyright
© 2022 Alexey Pavlov, E. Steur, Nathan van de Wouw
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Alexey Pavlov, E. Steur, Nathan van de Wouw
Research Group
Team Bart De Schutter
Volume number
140
DOI:
https://doi.org/10.1016/j.automatica.2022.110202
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Abstract

This paper presents a novel approach to (controlled) synchronization of networked nonlinear systems. For classes of identical single-input–single-output nonlinear systems and networks, including oscillator networks, we propose a systematic design procedure (with generic as well as constructive conditions) for specifying nonlinear coupling functions that guarantee global asymptotic synchronization of the systems’ (oscillatory) states. The proposed coupling laws are in the form of a definite integral of a nonlinear “coupling gain” function. It can be fit to the system's nonlinearities and, thus, can avoid cancelling nonlinearities by feedback or high-gain arguments commonly needed for linear (diffusive) coupling laws. As demonstrated by two examples, including a network of FitzHugh–Nagumo oscillators, this design can result in much lower synchronizing coupling gains than for the common case of linear couplings, therewith increasing energy efficiency of the coupling laws and reducing output-noise sensitivity. The resulting coupling structure can be of a varying type, when couplings are activated/deactivated depending on the systems’ outputs without undermining overall synchronization. The approach is based on a novel notion of incremental feedback passivity with a nonlinear gain. In addition to the design contribution, these results provide a new insight into potential synchronization mechanisms in natural and artificial nonlinearly coupled systems.