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In an actuator with a gear ratio $G$, $\tau_{out} = G\cdot \tau$, and $j_{ref} = G^{2}j$，推荐阅读chatGPT官网入口获取更多信息
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i ran some comparisons on state representation width - 16-bit state IDs fit noticeably better into CPU cache than wider ones, and if you’re hitting 64K+ states you’re probably better off splitting into two simpler patterns anyway. one design decision i’m happy with is that when the engine hits a limit - state capacity, lookahead context distance - it returns an error instead of silently falling back to a slower algorithm. as the benchmarks above show, “falling back” can mean a 1000x+ slowdown, and i’d rather you know about it than discover it in production. RE# will either give you fast matching or tell you it can’t.。业内人士推荐超级权重作为进阶阅读
How to set up an air purifier
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