The very first version of this was an informal talk using a set of index cards at the 2012 Boyd and Beyond conference at Quantico to a bunch of hardcore Boydians, so... it's survived that trial by fire. and and were among those present.
Conversation
I've only done the full-blown version of this workshop twice for corporate audiences (takes a fair amount of prep specific to the client to design the workshop part). More usually I tend to just send my latest slides to an individual client and talk them through it if they want.
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Anyhow, enjoy... a lot of people have asked me for these slides over the years, and I figured after 10y, it was time to just publish the material instead of emailing attachments around and pretending I was going to get around to making a course.
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Lol, it's kinda funny how when I toss out a totally half-assed thought in 10 seconds it can get tons of likes and RTs in minutes, but randomly throwing out something I've worked on and refined for like 10y and barely a ripple 🤣
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Aside: these slides are not super comprehensible without the talk track, and a couple of corp recording exist. So I guess in the grand Boydian tradition of context-sensitive material only existing in context-free slide deck form, like Boyd’s own briefings.
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But if you do want book versions, in order of increasing difficulty…
Boyd, Robert Coram
Certain to Win, Chet Richards
Science, Strategy and War, Frans Osinga
My version of the theories isn’t quite the same as these canonical views, but close enough
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Btw if you feel you grok this, feel free to present it, incorporate it a course, or whatever. I’d release it public domain except that it’s got lots of random Google images etc, so it’s sketchy commingled-IP with indeterminate Heisen-licensing state that I can’t cleanly assign.
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The OODA community is very generous and commons-spirited starting with Boyd’s own original material, so this feels appropriate anyway. Use at your own risk/discretion, remix, make clean versions for yourself etc.
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Replying to
Have any recommendations for control theory 101?
Took some in undergrad but never got a good feel for the concepts
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If you have Matlab/Simulink, just tinker with actual control models. The textbook stuff is pretty dry math.
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