Picard mapping enforces integral constraints on parameterized ODE solutions to enable gradient-based estimation of 4-CMG inertia tensors and 28 F/A-18 control surface coefficients from sampled outputs.
A converse sum-of-squares Lyapunov result: an existence proof based on the Picard iteration
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Picard Iteration for Parameter Estimation in Nonlinear Dynamic Models of Aircraft and Spacecraft
Picard mapping enforces integral constraints on parameterized ODE solutions to enable gradient-based estimation of 4-CMG inertia tensors and 28 F/A-18 control surface coefficients from sampled outputs.