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On the Stability of Nonautonomous Differential Equations $\dot x = [A + B(t)]x$, with Skew Symmetric Matrix $B(t)$
195
Citations
4
References
1977
Year
Adaptive Control ProblemsNonautonomous Differential EquationsStabilityUniform Asymptotic StabilitySystem StabilityLyapunov AnalysisTheorems 2Stability AnalysisSkew Symmetric Matrix
In this paper we characterize (in Theorem 1) the uniform asymptotic stability of equations of the form \[\left[ {\begin{array}{*{20}c} {\dot x} \\ {\dot y} \\ \end{array} } \right] = \left[ {\begin{array}{*{20}c} {A(t)} &\vline & { - B(t)} \\\hline {B(t)} &\vline & 0 \\ \end{array} } \right]\left[ {\begin{array}{*{20}c} x \\ y \\ \end{array} } \right]\] (where $A(t) + A(t)^T $ is negative definite) in terms of the “richness” of $B(t)$. The equation is uniformly asymptotically stable if and only if $B(t)$ is sufficiently rich. We actually obtain stability results for a much broader class of systems (Theorems 2 and 3) whose behavior is similar to the one above. Such systems have come up recently in some adaptive control problems.
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