A logarithmic norm extension to nonlinear stochastic systems yields finite-time bounds on mean and variance of transient growth in data-injected flight dynamics, distinguishing expectation stability from pathwise safety.
Minimum-Landing-Error Powered-Descent Guidance for Mars Landing Using Convex Optimization
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Bounding Transient Instability in Sensor Data Injected Nonlinear Stochastic Flight Dynamics
A logarithmic norm extension to nonlinear stochastic systems yields finite-time bounds on mean and variance of transient growth in data-injected flight dynamics, distinguishing expectation stability from pathwise safety.