Stability Analysis of Impulsive Dynamical Systems

Summary

Impulsive dynamical systems describe processes in which a continuous‐time evolution is punctuated by abrupt, discrete changes at specified instants. Such models arise naturally in biological systems subject to treatment or harvesting, networked control systems with packet drops, financial systems under sudden shocks and mechanical systems with impacts. Stability analysis seeks to determine whether trajectories remain bounded or converge to an equilibrium despite these impulses. Core challenges include handling the interplay between continuous flows and instantaneous jumps, ensuring robustness to external disturbances and verifying stability under varying impulse timing. Lyapunov methods, dwell‐time conditions and input‐to‐state stability criteria have become principal tools. Recent efforts focus on relaxing conservatism in impulse intervals, accommodating delays in impulses and establishing finite‐time convergence, thereby broadening applicability to high‐dimensional, delayed and hybrid systems.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Research from all publishers

Recent advances have refined stability conditions for infinite‐dimensional impulsive systems. One study developed novel dwell‐time criteria that allow simultaneous instability in continuous and discrete dynamics, using Lyapunov‐like techniques to guarantee input‐to‐state stability even under external perturbations in both finite and infinite dimensions. Another work on delayed systems with bounded‐delay impulses introduced a Halanay‐type inequality tailored to impulsive delays, deriving delay‐independent criteria for input‐to‐state stability via an enriched Lyapunov framework and illustrating results with concrete examples. A further investigation into finite‐time stability of hybrid impulsive systems established sufficient Lyapunov conditions for convergence in a fixed time, combining differential and difference inequalities for continuous flows and discrete resets. This approach yielded universal control laws for rapid stabilisation and demonstrated practical scenarios such as networked consensus requiring swift convergence.

Stability Analysis of Impulsive Dynamical Systems publication trend

The graph below shows the total number of articles in stability analysis of impulsive dynamical systems across all publications each year (not limited to Nature Index journals).

Technical terms

Impulsive dynamical system: A model combining smooth continuous evolution with instantaneous state jumps at specified times.

Lyapunov function: A scalar measure that decreases along system trajectories, used to certify stability.

Input-to-state stability (ISS): A property ensuring that bounded inputs produce bounded system states.

Dwell time: The minimum interval between successive impulses required to preserve stability.

Finite-time stability: The condition under which trajectories reach equilibrium within a predetermined finite time.

References

  1. Stability conditions for impulsive dynamical systems. Mathematics of Control, Signals, and Systems (2021).
  2. Input-to-state stability of delayed systems with bounded-delay impulses. Mathematical Modelling and Control (2022).
  3. On finite-time stability and stabilization of nonlinear hybrid dynamical systems. AIMS Mathematics (2021).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.