Presents a successive convexification framework that enforces continuous-time STL specifications in trajectory optimization via GMSR robustness and prox-convex solving.
Potential of Diffractive Sail’s Sun-Earth Equilibria for Continuous Polar Observation,
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EOS-Bench creates thousands of satellite scheduling test cases spanning small to large scales and evaluates multiple solver types across five performance metrics.
A polynomial optimization method with reduced-order weighting and zero-solution avoidance achieves roughly three orders of magnitude better accuracy in angles-only initial relative orbit determination than baseline approaches.
A Faster R-CNN detector paired with a Transformer-augmented MLP reconstructs parent-child lineages during ligament fragmentation from impinging jet images, achieving 0.872 F1 for detection and 86.1% association accuracy with perfect fragmentation recall.
BlendedNet++ provides a new dataset of 12,492 BWB geometries with RANS-derived Cp and Cf fields and benchmarks geometric deep learning for field prediction plus conditional diffusion models for inverse design achieving R^2 > 0.99 on lift-to-drag targets verified by CFD.
Experimental measurements reveal that outlet flow restrictions in sonic fluidic oscillators decouple upstream jet attachment from downstream mass flux split, sustaining oscillations at small apertures.
A MISOCP-SCP two-stage framework enables solar sail station-keeping in eLLOs for at least one year without propellant by leveraging predictable eccentricity vector behavior.
TRM-PL uses a 2.3M-parameter weight-shared recursive architecture to reduce median position errors to 0.027 km on single-revolution LEO and 0.31 km on multi-revolution LEO transfers via position-supervised refinement.
Two general-purpose methods transcribe multi-dimensional Gaussian chance constraints for trajectory optimization with reduced conservatism, paired with a quadratic-complexity risk estimator that remains accurate in high dimensions.
The paper defines reflective-sail weak stability boundary structures and uses them with a locally optimal energy-rate control law to construct Earth-escape trajectories in the Sun-Earth PCR3BP that show shorter flight times and higher hyperbolic excess velocity than ballistic escapes.
A two-layer sliding mode control architecture is proposed to achieve simultaneous terminal time and angle constraints in nonlinear intercept guidance for stationary and constant-velocity targets.
A latent-space reduced-order model using autoencoders and learned dynamics enables Bayesian recovery of initial density and pressure in Sod shock tube simulations, with posterior uncertainty contracting substantially as observation density increases.
A discrete adjoint GKS is developed and verified for efficient aerodynamic shape optimization in turbulent flows, achieving design goals in few cycles.
Experiments on a 3D expansion-compression cone at Mach 5-8 show that increasing Reynolds number shrinks the separation bubble while Mach-8 relaminarization prevents fully turbulent interaction and alters flapping and breathing motions.
Prescribed wall heating in a rarefied converging-diverging micro-nozzle increases specific impulse from 156 s to 201 s by thermal and pressure thrust gains that exceed the mass-flow penalty from increased blockage.
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Terminal Time and Angle-Constrained Nonlinear Intercept Guidance
A two-layer sliding mode control architecture is proposed to achieve simultaneous terminal time and angle constraints in nonlinear intercept guidance for stationary and constant-velocity targets.