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Space to Grow argues that political inefficiencies stunted NASA’s innovation, while SpaceX’s market-driven model slashed ...

This paper proposes a tensor product (TP) model transformation-based framework requiring minimal human intuition to numerically reconstruct linear time invariant, Takagi-Sugeno (T-S) fuzzy model-based ...

There are new hints that the fabric of space-time may be made of "memory cells" that record the whole history of the universe. If true, it could explain the nature of dark matter and much more ...

Unlike traditional state-space models that often require tightly constrained parameters, LinOSS uses a simple diagonal state matrix that guarantees stability without sacrificing modeling power. The ...

Findings from the Dark Energy Spectroscopic Instrument (DESI) suggest that dark energy could be evolving over time. If they're right, cosmology will need a new model.

Here’s what I got: “Oscillatory State-Space Models are a new way of handling sequential data, inspired by how things like springs or neurons oscillate naturally.

Damping moment coefficients were also obtained from XFLR5 and the same is also used in the dynamic model. State space model of the UAV is obtained from the dynamic model using the MATLAB linear ...