
We provide general methods for explicitly constructing strict Lyapunov functions for general nonlinear slowly time-varying non-autonomous systems. Our results apply to cases where the given dynamics and corresponding frozen dynamics are not necessarily exponentially stable. This complements our previous Lyapunov function constructions for rapidly time-varying dynamics. We also explicitly construct input-to-state stable Lyapunov functions for slowly time-varying control systems. We illustrate our findings using a perturbed friction model with slowly time-varying coefficients.
VARIATION LENTE, LYAPUNOV FUNCTION CONSTRUCTIONS, ANALYSE DE STABILITE, INPUT-TO-STATE STABILITY, AUTOMATIQUE, [MATH] Mathematics [math], SLOWLY TIME-VARYING SYSTEMS, [INFO] Computer Science [cs], STABILITY ANALYSIS
VARIATION LENTE, LYAPUNOV FUNCTION CONSTRUCTIONS, ANALYSE DE STABILITE, INPUT-TO-STATE STABILITY, AUTOMATIQUE, [MATH] Mathematics [math], SLOWLY TIME-VARYING SYSTEMS, [INFO] Computer Science [cs], STABILITY ANALYSIS
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
