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SIAM Journal on Control and Optimization
Article . 1992 . Peer-reviewed
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On the Exponential Stability of Singularly Perturbed Systems

On the exponential stability of singularly perturbed systems
Authors: M. CORLESS; GLIELMO L.;

On the Exponential Stability of Singularly Perturbed Systems

Abstract

For singularly perturbed systems \(\dot x=f(t,x,z,\mu)\), \(\mu\dot z=g(t,x,z,\mu)\), \textit{A. Saberi} and \textit{H. Khalil} [IEEE Trans. Autom. Control AC--29, 542-550 (1984; Zbl 0538.93049)] have shown that if both the reduced-order system \((\mu=0)\) and the boundary-layer system are exponentially stable, then also the full-order system is stable for sufficiently small values of the perturbation parameter \(\mu\). The authors present a thorough investigation of the rate of convergence of the full-order system. They prove that, provided that some further regularity assumptions are satisfied, the rate of convergence of the full-order system approaches that of the reduced-order system as \(\mu\) approaches zero. Exponentially decaying norm bounds are given for the ``slow'' and ``fast'' components of the full-order system trajectories. To achieve this result, a new converse Lyapunov theorem for exponentially stable systems is presented.

Country
Italy
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Keywords

boundary-layer system, perturbation, converse Lyapunov theorem, Singular perturbations for ordinary differential equations, reduced-order system, Stability of solutions to ordinary differential equations, singularly perturbed systems, exponentially stable, Singular perturbations of ordinary differential equations, rate of convergence

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
51
Top 10%
Top 10%
Average
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