$k$-Contraction in a Generalized Lurie System
Ron Ofir, Jean-Jacques Slotine, Michael Margaliot

TL;DR
This paper establishes a sufficient condition for $k$-contraction in generalized Lurie systems, extending contraction theory to analyze stability and convergence in nonlinear feedback systems, with applications to biochemical control circuits.
Contribution
It introduces a new sufficient condition for $k$-contraction in generalized Lurie systems, broadening the understanding of stability in nonlinear feedback dynamics.
Findings
For $k=1$, the condition reduces to standard contraction criteria.
For $k=2$, solutions converge to an equilibrium, not necessarily unique.
Application to biochemical control circuits demonstrates the theoretical results.
Abstract
We derive a sufficient condition for -contraction in a generalized Lurie system~(GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinear function. For , this reduces to a sufficient condition for standard contraction. For , this condition implies that every bounded solution of the GLS converges to an equilibrium, which is not necessarily unique. We demonstrate the theoretical results by analyzing -contraction in a biochemical control circuit with nonlinear dissipation terms.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications
