Evaluates stochastic stability in nonlinear systems, suggesting methods for analysis.
• Energy-based moment Lyapunov exponents of nonlinear stochastic systems are proposed. • Monte Carlo simulation procedure is presented for stochastic stability of nonlinear systems. • Stochastic stability analysis of nonlinear systems excited by white noise, real noise, and bounded noise. • Numerically evaluate and validate moment Lyapunov exponents of nonlinear systems.
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Ghaedi et al. (2026) studied this question.
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