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Input-to-state stability of nonlinear impulsive systems

Sergey Dashkovskiy, Andrii Mironchenko

arXiv:1212.5481v1math.DSmath.OC

TL;DR

The paper addresses how to establish input-to-state stability for impulsive systems when unrestricted impulse sequences may not suffice. It develops dwell-time, small-gain, and linearization-based Lyapunov tools, proving ISS results for single systems and interconnections, including in Banach spaces.

  • Problem

    When continuous or discrete dynamics is not ISS, ISS cannot generally be achieved for all impulse-time sequences, motivating restrictions on admissible sequences.

  • Method

    The paper develops Lyapunov sufficient conditions, dwell-time analyses, small-gain constructions for interconnections, and linearization methods for local ISS-Lyapunov functions.

  • Results

    The paper proves small-gain results for impulsive interconnections and establishes ISS under fixed dwell-time, with uniform ISS under generalized average dwell-time for exponential ISS Lyapunov functions.

  • Takeaways & Limitations

    The results broaden ISS analysis to non-exponential Lyapunov functions, interconnected impulsive systems, and abstract systems based on equations in Banach spaces.

  • Takeaways & Limitations

    For interconnected systems with subsystem-dependent impulse sequences, the resulting hybrid system is not covered by the theory developed in the paper.

Abstract

from arXiv · show

We prove that impulsive systems, which possess an ISS Lyapunov function, are ISS for time sequences satisfying the fixed dwell-time condition. If an ISS Lyapunov function is the exponential one, we provide a stronger result, which guarantees uniform ISS of the whole system over sequences satisfying the generalized average dwell-time condition. Then we prove two small-gain theorems that provide a construction of an ISS Lyapunov function for an interconnection of impulsive systems, if the ISS-Lyapunov functions for subsystems are known. The construction of local ISS Lyapunov functions via linearization method is provided. Relations between small-gain and dwell-time conditions as well as between different types of dwell-time conditions are also investigated. Although our results are novel already in the context of finite-dimensional systems, we prove them for systems based on differential equations in Banach spaces that makes obtained results considerably more general.

1. Introduction.

The introduction identifies dwell-time restrictions as necessary when continuous or discrete dynamics are not ISS, then presents Lyapunov, small-gain, and linearization tools for broader impulsive-system analysis.

  • When either continuous or discrete dynamics is not ISS, dwell-time conditions restrict impulse sequences to recover ISS.
  • The paper proves ISS under nonlinear fixed dwell-time conditions using ISS Lyapunov functions, including uniform stability under a slightly weaker condition.
  • Exponential ISS Lyapunov functions yield uniform ISS over impulse sequences satisfying the generalized average dwell-time condition.
  • The paper also develops global and local ISS-Lyapunov constructions, including local exponential functions obtained through linearization.
  • Small-gain theorems construct ISS Lyapunov functions for interconnected impulsive systems, including exponential functions when subsystem gains are power functions.
  • Relations among dwell-time conditions and their interplay with small-gain conditions are investigated for interconnected systems.
  • The results are proved for abstract systems based on equations in Banach spaces, extending their scope beyond finite-dimensional systems.

2. Preliminaries.

The preliminaries formulate impulsive systems on Banach state and input spaces, define their trajectories and stability properties, and introduce the Lyapunov framework used later.

  • An impulsive system combines continuous evolution with state jumps at a strictly increasing sequence of impulse times.
  • The state belongs to a Banach space X, inputs belong to a Banach space U, and A generates a C0-semigroup while f and g specify system nonlinearities.
  • The model assumes existence and uniqueness of solutions, with piecewise-continuous state trajectories and well-defined left limits at impulse times.
  • The transition map φ records the state at time t for a specified initial condition, initial time, impulse sequence, and admissible input.
  • Because impulse sequences affect time shifts, the system is generally not time-invariant, although shifted trajectories satisfy the stated relation.
  • The unforced system is assumed to have the equilibrium x ≡ 0, and subsequent ISS analysis exploits ISS-Lyapunov functions.
  • ISS requires the stability estimate globally, whereas LISS restricts initial states and inputs to a neighborhood; uniform ISS or GS uses sequence-independent comparison functions.

3. Lyapunov ISS theory for an impulsive system.

The section develops Lyapunov-based ISS conditions for impulsive systems, linking stability to dwell-time restrictions and extending results to local, exponential, and interconnected settings.

  • Dwell-time conditions: An ISS-Lyapunov function does not ensure ISS for arbitrary impulse sequences; additional dwell-time restrictions are required.The impulse sequence affects stability even though the continuous-flow Lie derivative and Lyapunov function do not depend on it.
  • Fixed dwell-time: An ISS-Lyapunov function guarantees ISS over sequences satisfying a nonlinear fixed dwell-time condition, while a slightly weaker condition guarantees uniform global stability.The corresponding theorem establishes ISS for all sequences in the admissible fixed-dwell-time class.
  • Relations between dwell-time conditions: Dwell-time conditions expose a trade-off between allowable impulse density and gain size, and gADT can be weaker than classical ADT over long intervals.For h(x)=(x+1)e^(µ−λx), the resulting condition resembles ADT locally but imposes a considerably weaker restriction for large time intervals.
  • Generalized average dwell-time: If the Lyapunov function is exponential, the generalized average dwell-time condition yields uniform ISS over its admissible sequence class.The gADT condition is described as providing, in a certain sense, tight estimates of the sequences for which ISS holds.
  • Local construction and interconnections: A linearization method constructs local exponential ISS-Lyapunov functions, while small-gain results construct Lyapunov functions for interconnected impulsive systems.The construction extends to systems with power-function gains and uses bounded coercive operators in the linearization result.

4. ISS of interconnected impulsive systems.

The section formulates interconnected impulsive subsystems on Banach spaces and develops small-gain constructions for ISS Lyapunov functions, including exponential cases. It also relates gain choices to dwell-time requirements while identifying a class of interconnections beyond the paper’s theory.

  • System formulation: The interconnected system is represented by subsystem dynamics on Banach spaces, with continuous evolution and jumps occurring at a common impulse sequence.Each subsystem has its own state space, input coupling, and jump map; the shared-sequence formulation can be written in vector form.
  • Scope boundary: The paper’s results cover shared impulse sequences, but not general interconnections whose subsystems have different impulse-time sequences.Aggregating the sequences does not remove their dependence from the whole-system jump function, so such systems remain an open research topic.
  • Small-gain construction: Theorem 8 constructs an ISS-Lyapunov function for the whole system when the subsystem gains satisfy the small-gain condition.The construction applies to subsystem ISS-Lyapunov functions and their corresponding gains.
  • Small-gain construction: Theorem 9 extends the construction to exponential ISS Lyapunov functions when the gains are power functions and the small-gain condition holds.The resulting function is an exponential ISS Lyapunov function for the whole shared-impulse-time system.
  • Small-gain construction: The interconnected example requires Lyapunov functions with one negative rate coefficient because positive-rate subsystem functions do not satisfy the small-gain condition.The constructed interconnection function has d = −1 and c = 1.672, after choosing b ≈ 0.612; Theorem 5 then gives impulse-sequence classes for GAS.
  • Gain–dwell-time relations: The allowed impulse frequency depends on the difference c − d: smaller gains allow a smaller impulse frequency under the dwell-time condition.For the stated gain family, the admissible parameter interval is (ρ, ˜c), with limiting behavior described by Proposition 4.2.

5. Concluding remarks and open questions.

A future research direction is developing a theory for interconnected impulsive systems whose subsystems use different impulse-time sequences.

  • Future work should address interconnected impulsive systems whose subsystems have different impulse-time sequences.
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