Watanabe & Kawano Extend Contraction Theory for Nonlinear Time-Delay Systems
New differential framework guarantees exponential stability for systems with delays.
Contraction analysis provides a powerful tool for verifying incremental stability—i.e., convergence of trajectories to each other—without requiring a known equilibrium. In their new paper on arXiv (2606.00179), Rintaro Watanabe and Yu Kawano tackle the challenging class of nonlinear time-delay systems governed by functional differential equations. They first generalize the classic Lyapunov-Krasovskii approach into a differential (incremental) framework, showing that the existence of such a functional is equivalent to uniform incremental exponential stability. This bridges a gap between contraction theory and time-delay analysis, offering clearer conditions for systems where delays disrupt standard Lyapunov methods.
The authors also extend Lyapunov-Razumikhin functions (a simpler, function-based alternative) into the same differential setting, again proving equivalence to uniform incremental exponential stability. As a practical application, they use these theoretical results to formulate stabilizing feedback control design for single-delay nonlinear systems in terms of linear matrix inequalities (LMIs). LMI solvers are widely available and numerically tractable, meaning engineers can directly apply the conditions to compute controllers. This work advances the theoretical foundation for controlling delayed systems while providing actionable design tools for real-world applications like autonomous driving, teleoperation, and industrial process control.
- Extended Lyapunov-Krasovskii functionals into a differential framework for time-delay nonlinear systems.
- Proved equivalence between the differential functionals and uniform incremental exponential stability.
- Derived LMI-based stabilizing feedback control design for nonlinear systems with single delays.
Why It Matters
Enables engineers to design stable controllers for delayed nonlinear systems using tractable LMI solvers.